Industry Briefing
A single destination for timely, editor-curated robotics news from around the world.
Ukraine's war robots are carrying a new type of payload: the elderly
A drone operated by the Kraken company successfully completed a 20-mile round-trip mission to rescue four elderly civilians from a combat zone, according to statements made by the drone's commander to Business Insider. This operation highlights the innovative use of drone technology in humanitarian efforts, particularly in areas affected by conflict. The mission underscores the growing importance of unmanned aerial vehicles in providing assistance and ensuring the safety of vulnerable populations in dangerous environments. The successful rescue demonstrates the potential for drones to play a critical role in emergency response scenarios, showcasing advancements in both technology and operational strategies in crisis situations.
Military & Defense warfare-big-bet uncrewed-ground-vehicles ukraine-war drone-warfare
Figure AI's CEO just raised $700 million for his next big bet
Hark, a company established by Brett Adcock, the CEO of Figure AI, has successfully raised $700 million in funding. This significant investment positions Hark to compete with major players in the artificial intelligence sector, including OpenAI, Apple, Google, and Meta. The funding aims to accelerate the development of innovative AI hardware solutions, reflecting the growing demand for advanced technology in various industries. With this financial backing, Hark plans to enhance its capabilities and carve out a substantial presence in the competitive landscape of AI hardware innovation.
Tech AI Startups tech ai brett-adcock
Starmind's Orbital Compute vs. Terrestrial Data Centers: Analyzing Resource Advantages
Starmind's orbital compute technology presents a significant advantage over traditional ground-based data centers by eliminating constraints related to land, water, and grid permitting. While terrestrial data centers are currently cheaper and faster to construct, with U.S. data center spending reaching $85.3 billion in 2026, Starmind's approach focuses on addressing the growing resource limitations faced by hyperscale facilities. The significance of Starmind's technology lies in its ability to sidestep the increasing challenges of land and water usage. For instance, a 100 MW data center can consume approximately 530,000 gallons of water daily for cooling, while Starmind's AI1 utilizes deployable liquid radiators that require no water. This structural advantage could resonate with investors as the demand for AI computing continues to escalate, potentially leading to annual water withdrawals of up to 1.7 trillion gallons by 2027. Looking ahead, Starmind's next milestones include the launch of AI1 prototypes scheduled for early 2027. However, the technology's claims regarding cooling efficiency and operational reliability remain unverified until real flight data is available. As the industry evolves, the competition between orbital and terrestrial solutions will become increasingly relevant, particularly in the context of resource management and sustainability.
In Defence Investment Plan preview, Britain bets big on drones, ‘hybrid’ navy
The Ministry of Defence has announced an initiative to develop at least six hybrid warships that will integrate with unmanned systems both in the air and at sea. This strategic move aims to enhance naval capabilities and modernize the fleet, reflecting a growing emphasis on advanced technology in military operations. The initiative underscores the Ministry's commitment to maintaining a competitive edge in maritime defense, particularly in an era where unmanned systems are becoming increasingly vital for operational effectiveness. The timeline for the project has not been specified, but it represents a significant step towards modernizing naval warfare and adapting to evolving threats.
Air Warfare Global Land Warfare Naval Warfare Air Force Ajax
SpaceX's $1.75 Trillion Valuation Driven by Starmind's Future Potential
Starmind is a pivotal element in SpaceX's estimated $1.75 trillion IPO valuation, despite currently generating no confirmed revenue. The stock price reflects optimistic projections regarding AI infrastructure growth, which Starmind has yet to substantiate. As of early July 2026, SpaceX's stock has decreased from its 52-week high of $225.64 to around $150, indicating market skepticism about future execution. The significance of Starmind lies in its potential to transform SpaceX's revenue model beyond traditional launch services. Goldman Sachs has shifted its focus from Starlink subscriber growth to the prospects of AI revenue, including orbital computing, as a cornerstone of SpaceX's long-term valuation. This marks a substantial change in how analysts view the company's growth trajectory, necessitating rates exceeding its historical 33% growth. Looking ahead, the credibility of Starmind as a growth narrative will be crucial for maintaining investor confidence. Analysts have noted a considerable divergence in price targets, reflecting uncertainty about the value of the Starmind and xAI initiatives. No further timeline was disclosed at the time of publication regarding specific milestones for these projects.
Big money is betting the self-driving future belongs to a small club
The Autonomous Vehicle sector has experienced a significant surge in investment, marking the highest level of capital influx in over a decade. However, this financial boost has predominantly favored a select group of companies, leading to a concentration of funding within the industry. This trend highlights a shift in investor confidence and strategic focus, as stakeholders seek to back firms with proven potential for innovation and market impact. The influx of capital is expected to accelerate advancements in technology and infrastructure, further shaping the future of transportation.
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Corporate Investors Bet Big on Robotics Revolution: CVC Deals Jump 183% in Q1
In the first quarter of 2024, corporate venture capital investment in robotics startups experienced a remarkable surge of 183% year-over-year, totaling $1.3 billion across 34 deals. This significant increase is largely attributed to advancements in artificial intelligence and the growing demand for manufacturing solutions, particularly in the context of onshoring. Companies are actively investing to both supply components for and deploy next-generation robots, with a notable focus on humanoid technology. This trend reflects a broader shift in the industry as corporations seek to enhance their operational capabilities and adapt to evolving market needs.
Neura Robotics Schaeffler Agility Robotics Apptronik Fourier Intelligence
Musk Foresees Optimus as Tesla's Largest Product Amidst Strong Chinese Competition
Elon Musk predicted during Tesla's earnings call in January 2026 that Optimus will become the company's largest product, potentially ten times bigger than its next biggest offering. Tesla is transitioning its Fremont factory to focus on Optimus production, increasing the annual capacity target for the Optimus V3 line from 50,000 to approximately 70,000 units, with plans to add another 70,000 units in Austin by 2028. Musk emphasized the competitive landscape, stating that China will be Tesla's biggest rival in the humanoid robot market, citing the country's strengths in scaling and manufacturing. According to TrendForce, the commercialization of humanoid robots is expected to accelerate in 2026, with China's production projected to grow by 94% annually, accounting for about 90% of global shipments last year. Tesla plans to initiate small-scale production of Optimus between late July and August 2026. Musk's insights indicate a clear competitive race between the U.S. and China, with no significant competitors outside of China currently visible to Tesla, highlighting the intense rivalry in AI and manufacturing capabilities.
Humanoid Robots AI Robotics Manufacturing Tesla
Japan's Shimizu bets on humanoid robots to tackle construction labor crunch
Artificial intelligenceJapan's Shimizu bets on humanoid robots to tackle construction labor crunchCompany eyes fiscal 2030 for robots that can walk around, paint and coat wallsShimizu is testing out the ability of this robot from China's Unitree to patrol construction sites on foot. (Photo by Kohei Okuyama)KOHEI OKUYAMAJuly 8, 2026 05:02 JSTTOKYO -- Japanese general contractor Shimizu plans to introduce AI-powered humanoid robots at its construction sites by around fiscal 2030, aiming to have them handle such work as painting and plastering in a bid to alleviate the industry's severe labor shortages, Nikkei has learned.Read NextArtificial intelligenceJapan eyes AI-powered comeback in factory robot race with China, EuropeConstructionJapan builders turn down big projects because of labor crunch: pollArtificial intelligenceJapan backs SoftBank-led AI models with up to $6.2bn in chasing US, ChinaBusiness dealsJapan's Shimizu to buy Okinawa-based builder focused on US military basesTechnologyVideo game engines find new homes in construction and retailBusiness dealsJapan builder Obayashi buys peer Multiplex Global for $540mLatest on Artificial intelligenceArtificial intelligenceCan China and US find common ground on AI governance in Geneva?Artificial intelligenceJapan weighs AI-powered disaster relief distributionArtificial intelligenceChinese AI usage by US firms soared after Mythos restrictionsSponsored ContentAbout Sponsored ContentThis content was commissioned by Nikkei's Global Business Bureau.
Boeing’s bigger Ghost Bat can carry missiles internally, carry more combat load
Boeing has introduced an upgraded version of its MQ-28 Ghost Bat drone, enhancing its capabilities with extended range and improved technology. The announcement was made during a recent defense expo in Australia, where the company showcased its commitment to advancing unmanned aerial systems. This new iteration aims to meet the growing demands for advanced surveillance and combat support in modern warfare. Boeing's development of the MQ-28 is driven by the need for more versatile and efficient military drones that can operate in complex environments. The enhancements include advanced sensors and artificial intelligence features, which allow for better decision-making and operational efficiency. This latest model is expected to play a crucial role in future defense strategies, particularly in the Indo-Pacific region, where military presence and technological superiority are increasingly prioritized.
Military
The biggest industry, training hurdles for making drone wingman a reality
In a recent video, experts examined the evolving dynamics of manned-unmanned teaming in military operations, highlighting anticipated shifts for defense manufacturers as the United States increasingly integrates drones into combat scenarios. This analysis comes at a pivotal moment when the U.S. military is actively seeking to enhance its operational capabilities through advanced drone technology. The discussion focuses on how these partnerships between manned aircraft and unmanned systems could reshape defense strategies and manufacturing processes. As the demand for sophisticated drone capabilities grows, manufacturers will need to adapt to new technological requirements and operational frameworks to remain competitive in the defense sector. The insights shared in the video underscore the importance of innovation and collaboration in modern warfare, reflecting a broader trend towards automation and enhanced aerial support in military engagements.
Air Warfare Naval Warfare Pentagon Air Force collaborative combat aircraft Drones
Hello Robot’s latest Stretch 4 is bigger, faster, and stronger than previous versions
Hello Robot has unveiled its latest model, the Stretch 4, which boasts enhanced capabilities compared to its predecessors. This new assistive robot is designed to be bigger, faster, and stronger, while still prioritizing flexibility and safety in its operations. The announcement highlights the company's commitment to advancing robotic technology to better serve various applications. The Stretch 4 aims to improve efficiency and effectiveness in tasks that require assistance, marking a significant step forward in the field of robotics.
Artificial Intelligence Artificial Intelligence / Cognition Cameras / Imaging / Vision Design / Development Development Tools / SDKs / Libraries Grippers
The Week Ahead in AI: Musk vs Altman, Cannes AI Film Festival, Is AI Cheaper than Human Workers, Plus Big Week Ahead for Earnings
Elon Musk's long-standing legal dispute with OpenAI is set to go to trial on Monday in California. The lawsuit, initiated by Musk, accuses OpenAI and its CEO, Sam Altman, of various grievances related to the development and management of artificial intelligence. This trial marks a significant moment in the ongoing tensions between Musk and the organization he co-founded, as it seeks to address the implications of AI technology and its governance. The outcome could have far-reaching consequences for the future of AI development and the responsibilities of its creators.
AI Insights Robotics AI Dev 26 x SF Alphabet Amazon
Scientists used AI to crack one of water's biggest mysteries
Researchers at the University of Osaka have made significant strides in understanding the unique properties of supercooled water, a substance known for its unusual behavior at low temperatures. By employing an artificial intelligence model trained on various computer simulations, the team evaluated 16 different structural descriptors to analyze water's microscopic structure. This innovative approach allowed them to identify the most effective methods for distinguishing between water's two competing liquid states. The findings provide a clearer framework for future studies, shedding light on one of nature's most enigmatic substances and potentially paving the way for advancements in various scientific fields.
SpaceX IPO Provides Indirect Investment Opportunity in Starmind Project
Starmind does not have a standalone stock or ticker; investors can gain exposure through SpaceX (ticker: SPCX), which began trading on Nasdaq after its IPO on June 12, 2026. Starmind is integrated within SpaceX, contributing to the company's AI and space initiatives, and its performance directly influences SPCX shares. The significance of Starmind lies in its role as a division of SpaceX, which encompasses other projects like Starlink and Starship. As of early July 2026, SPCX shares are trading between $149 and $150, significantly lower than their 52-week high of $225.64. The project’s milestones, such as AI1 prototype updates, can impact SpaceX's stock performance, making it essential for investors to monitor these developments closely. Looking ahead, the early 2027 launch of AI1 prototype satellites is a critical milestone that could provide verifiable data affecting Starmind's valuation and, consequently, SPCX stock. No further timeline was disclosed at the time of publication, but the upcoming events will be pivotal for investors tracking the relationship between Starmind and SpaceX's stock performance.
UK Sacrifices Its Future Destroyer As Part Of Massive Bet On Drones Across Its Forces
The UK government is implementing a significant transformation in its military strategy, prioritizing the integration of uncrewed platforms across land, sea, and air operations. This ambitious overhaul comes at the cost of sacrificing its future destroyer, signaling a strategic shift towards drone technology as a cornerstone of the nation's defense capabilities. The decision reflects a growing recognition of the importance of unmanned systems in modern warfare, aiming to enhance operational efficiency and adaptability. As the UK moves forward with this initiative, it seeks to position its forces at the forefront of technological advancements in military operations.
News & Features Air Air Forces Around The Globe Europe Navies
Microsoft Makes Big AI Inroads in China by Selling OpenAI Models
Microsoft Corp. has established a significant presence in the Chinese market by selling artificial intelligence models to local companies, even amid escalating tensions between the United States and China regarding AI technology. This strategic move highlights Microsoft's commitment to expanding its business operations in a region that is increasingly competitive in the tech sector. The company's decision to engage with Chinese enterprises comes at a time when both nations are vying for dominance in AI development, raising questions about the implications of such collaborations. By providing advanced AI solutions, Microsoft aims to capitalize on the growing demand for innovative technologies in China, while navigating the complex geopolitical landscape that influences international business relations.
NMS:MSFT
France’s Arquus unveils new 6×6 meant to carry big guns
In response to insights gained from the ongoing conflict in Ukraine, company officials announced the development of a new military vehicle. This initiative reflects a strategic adaptation to the evolving needs of modern warfare, highlighting the lessons learned from the battlefield. The vehicle aims to enhance operational effectiveness and address specific challenges faced by military forces. By integrating advanced technologies and design features, the company seeks to provide a solution that meets the demands of contemporary combat scenarios. The announcement underscores the importance of innovation in defense capabilities, driven by real-world experiences and the necessity for military preparedness.
Global Land Warfare armored vehicles Army Arquus Belgium
Software is ‘the biggest bottleneck to robotics innovation’, says BlackBerry QNX report
QNX, a division of BlackBerry, has unveiled its latest research study, the Inside the Robot: Architecture Benchmark Report, which explores the evolving landscape of robotics development. The report highlights the shift towards software-driven and AI-enabled systems that are increasingly integrated into workplaces and everyday life. Conducted through a survey of 1,000 developers globally, the research aims to shed light on the current trends and challenges faced in the robotics sector. This initiative reflects QNX's commitment to understanding and advancing the role of robotics in modern society, emphasizing the importance of collaboration between humans and machines. The findings are expected to inform future developments in the field and guide industry stakeholders in adapting to these transformative changes.
Features Robotics Software ai robotics automation news Autonomous robots
Robot dogs with shotguns, grenade launchers head to US urban warfare trials
The United States has contracted an Australian defense company to supply advanced robotic dogs and modular systems designed for military applications. This agreement, announced recently, aims to enhance the capabilities of the U.S. armed forces by integrating cutting-edge technology into their operations. The initiative is part of a broader strategy to modernize defense assets and improve operational efficiency. The robotic systems are expected to assist in various tasks, potentially reducing risks to personnel and increasing mission effectiveness. The collaboration underscores the growing partnership between the U.S. and Australia in defense innovation, reflecting a commitment to leveraging advanced technology in military operations.
China’s Huaqiangbei bets on AI innovations to revive global appeal
Huaqiangbei, located in Shenzhen, China, is transforming into a global hub for artificial intelligence, attracting foreign traders and tourists eager to explore the latest technological innovations. This shift comes as the area, known for being the largest electronics marketplace in the world, seeks to revitalize its appeal amidst changing market dynamics. Visitors like Abigail Slagveer from Rotterdam, Netherlands, expressed amazement at the vastness of the marketplace, highlighting the experience of navigating through its extensive offerings. The reinvention of Huaqiangbei reflects a strategic move to capitalize on the growing interest in AI technologies, positioning itself as a premier destination for those seeking cutting-edge gadgets and advancements in the tech industry.
US Army selects THOR autonomous VTOL drone soldiers can carry for frontline warfare
The U.S. Army has announced the selection of a new small unmanned aircraft system aimed at enhancing its aerial capabilities. This decision, made public in October 2023, underscores the Army's commitment to modernizing its technology and improving operational efficiency. The new system is expected to provide advanced surveillance and reconnaissance capabilities, allowing for better situational awareness on the battlefield. By integrating cutting-edge technology, the Army aims to maintain a strategic advantage in various operational environments. The initiative reflects ongoing efforts to adapt to evolving military needs and challenges, ensuring that troops are equipped with the best tools available for mission success.
New DJI Power 1000 Mini packs big energy
DJI has unveiled its latest product, the Power 1000 Mini, a portable power station aimed at providing energy solutions for various devices, including batteries, cameras, and laptops. This launch, which is particularly beneficial for drone pilots, comes as a response to the needs of professionals who often find themselves in remote locations without access to wall outlets. The Power 1000 Mini is designed to enhance the efficiency of outdoor shoots, job site inspections, and travel between locations, making it a practical addition to DJI's offerings this year.
News
CMU Students, Faculty Go Big During Robotics Institute’s Annual Textile Jam
On a Friday afternoon, students and faculty from Carnegie Mellon University gathered at Wean Hall for the Robotics Institute's annual Textile Jam. Inside a nearly 9-foot tent, participants engaged in solving four different puzzles, with the aim of uncovering words that they presented as offerings to the themes of automation and craft. This collaborative event highlighted the intersection of creativity and technology, showcasing the innovative spirit of the university's community. The Textile Jam serves as a platform for exploring the potential of robotics in textile design and production, fostering a deeper understanding of the relationship between craftsmanship and automation.
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U.S. Military Deploys Saronic Corsair Drone Boats in Combat Operations for the First Time
For the first time in U.S. military history, uncrewed surface vessels (USVs) were utilized as a strike weapon during combat on July 12. The U.S. Central Command (CENTCOM) reported that three Saronic Corsair USVs targeted Iranian facilities, marking a significant advancement in naval warfare technology. This development is crucial as it reflects the evolving nature of military strategy, particularly in the context of ongoing tensions between the U.S. and Iran over the Strait of Hormuz. The successful strikes against Iranian targets demonstrate the potential of USVs to enhance operational capabilities while reducing the risk to manned aircraft and crews. Looking ahead, the operational use of USVs in combat roles may reshape naval engagements and strategies. The U.S. Navy's Task Force 59, established to integrate uncrewed and AI technologies, is likely to continue exploring these capabilities, which could lead to further innovations in military operations.
Sea Around The Globe Iran Middle East News & Features POTUS
UK And Dutch Partner On Next-Gen Amphibious Assault Ships
The United Kingdom and the Netherlands have announced a partnership to develop a shared fleet of eight next-generation amphibious assault ships. This initiative aims to enhance interoperability between the two navies, replace aging vessels, and prepare for the evolving landscape of drone-enabled warfare. The collaboration reflects a strategic move to bolster maritime capabilities amid increasing global security challenges. By working together, the UK and Dutch forces intend to streamline operations and improve readiness for future conflicts. The project underscores the importance of modernizing naval assets to ensure both nations remain competitive and effective in contemporary military engagements.
News & Features Amphibious Assault Ships Around The Globe Europe NATO Navies
AI Models Overthink Problems—and It’s a Security Risk
Large language models (LLMs) that can think through problems step-by-step have significantly increased the scope of tasks that AI can tackle. But new research suggests these reasoning capabilities also introduce a critical vulnerability that could allow attackers to slow these systems to a crawl.While earlier generations of LLMs would immediately produce a response to a user’s request, today’s most advanced models generate an internal monologue where they break down the problem into steps and reason about the best way to tackle it before providing an answer. This has allowed AI to tackle increasingly complex problems, particularly in areas like coding and math.However, previous research has shown that these models are susceptible to sometimes producing excessively long streams of reasoning that do little to boost performance, a phenomenon known as “overthinking.” In research presented this week at the International Conference on Machine Learning 2026 in Seoul, researchers from Zhejiang University and e-commerce giant Alibaba in China demonstrate that they can deliberately induce overthinking by subjecting models to logically inconsistent prompts. The result is a form of denial-of-service attack on commercial AI models.Evolutionary Prompt Attack on LLMsThe team has developed an evolutionary algorithm that corrupts the logical structure of prompts, causing models to spiral into overthinking as they attempt to reason through fundamentally unsolvable problems. Generating longer responses costs more and increases the load on a model provider’s servers, so if done at scale, the researchers say, this could significantly degrade the experience of legitimate users. The attack was effective against reasoning models from leading AI companies including DeepSeek-R1, Alibaba’s Qwen3-Thinking, OpenAI’s GPT-o3, and Google’s Gemini 2.5 Flash and resulted in outputs up to 26 times as long as standard responses on a standard math benchmark.“Across multiple datasets and reasoning models, our method substantially amplifies the output length,” Wei Cao, a masters student at Zhejiang University, wrote in an email to IEEE Spectrum. “Our results suggest that overthinking is not an isolated phenomenon specific to individual models, but rather a shared vulnerability among modern reasoning models.”The team’s approach builds on previous research from another group of researchers that showed reasoning models tend to overthink when faced with a question in which a key premise has been removed—such as asking how far someone who walks ten miles a day covers in total without specifying how many days they walked for. Rather than identifying that the problem is unsolvable, models often engage in extended but ultimately fruitless reasoning loops in an attempt to answer the question.Taking the idea a step further, the authors took 940 problems from three math benchmark datasets and used an LLM to break down their logical structure into a set of premises and a final question. The genetic algorithm then jumbled these up using a variety of “mutations,” including swapping premises between problems, adding extra premises to problems, deleting existing premises from problems, and swapping the final questions between two sets of premises.After each round of mutations, the problems are scored on how many words they cause a target model to output and also whether they increase the frequency of specific linguistic markers of overthinking—words like “but,” “wait,” “maybe,” or “alternatively.” The problems that scored highest on both measures are retained and the remaining ones are jumbled up again, and this process is repeated for five generations. Crucially, the approach doesn’t require access to the internals of a model and can generate malicious prompts by simply querying the target, which makes it possible to attack closed-source commercial services, says Cao.Overthinking Vulnerability in AI ModelsThe researchers found that the approach consistently led to outputs several times longer than those generated by the unmodified questions for the reasoning models they tested it on. The biggest jump came from DeepSeek-R1 on the MATH dataset, which is made up of problems from high school math competitions, where the maximum output was 26.1 times as long as the longest response the model provided to unaltered questions. While the main thrust of the research was focused on math problems, the authors also tested it on coding, scientific reasoning, and dialogue challenges, and observed significant jumps in output length in all three.One challenge for the approach is that developing the malicious prompts requires repeated queries to expensive reasoning models, which Cao admitted could limit its cost-effectiveness. However, the researchers also demonstrated that when they used a smaller, cheaper model to generate the malicious prompts they were still able to induce the target models to produce outputs several times longer than normal. This ability to transfer malicious prompts between models significantly increases the attack’s feasibility, Cao wrote.However, he pointed out that the goal of the research is not to develop a practical DoS attack on reasoning models. Factors like the providers’ pricing model, rate limiting policies, context window size, and existing defenses could all impact how effective the approach is. The intention is instead to highlight these models’ vulnerability to logically inconsistent prompts so that providers can attempt to mitigate the problem.“Our objective is not to demonstrate that large-scale attacks can be launched at negligible cost, but rather to establish that this attack surface exists,” he wrote. “Our results indicate that the vulnerability represents a realistic security concern.”
Llms Artificial-intelligence Denial-of-service Cybersecurity
What Makes AI Art Worth Collecting?
In May, an anonymous artist who goes by SHL0MS on X posted that he had used AI to generate an image inspired by Claude Monet and asked people to weigh in on how it missed the mark. More than 600 responses called out issues, saying the colors were off, the depth was all wrong, and that AI didn’t understand how light worked.SHL0MS then revealed that the image was of a real Monet, one of around 250 variations of water lilies the artist had painted in his lifetime. He had simply downloaded a high-resolution image from Wikimedia and cropped out the signature. He minted the exchange as an NFT (a unique digital collectible recording ownership of the work), titled it “Inferior Image,” and sold it for just over US $40,000 after 28 bids.The stunt exposed how charged the conversation around AI art has become, and how quick people are to dismiss anything AI-generated as slop—even when it’s not. Yet even as those arguments continue, a market for AI-generated art has begun to form anyway. It’s fragmented and contested, but bigger than most people realize.Jediwolf, an anonymous collector who says he has spent more than 20 years acquiring digital and AI art, was watching the experiment unfold in real time on X. He had never interacted with SHL0MS before, but when the NFT went up for auction he made a bid and won. “I was buying a unique moment in time,” he says, “captured by an artist and preserved as a token.”The Monet was not AI art, but most of what Jediwolf buys is. One of Jediwolf’s digital collections, which he calls UnderTheGAN—a play on GANs, or generative adversarial networks, the AI technology that preceded today’s diffusion models—comprises roughly 100 works valued at around $72,000, focused on early AI art from 2015 to 2020, before the medium went mainstream. He describes his role as part collector, part researcher, part curator, trying to document a fast-moving field.“A decade ago, digital art was often treated as peripheral to the ‘serious’ art world,” he says. “Today, it is increasingly difficult to separate contemporary culture from the internet.”AI Art Moves Into MuseumsThe market for AI art extends beyond NFTs: AI-generated pieces are also finding their way into physical installations. Last month saw the opening of Dataland, the world’s first generative AI museum, in downtown Los Angeles. It was spearheaded by Refik Anadol, a digital artist who has built a career out of transforming data into large-scale immersive experiences. The opening exhibition has pieces that use data that Anadol collected from rainforests around the world, with real-time weather information from 16 rainforests feeding into all five galleries. In three of the rooms, the imagery also shifts in response to visitors’ own biometric data, tracked by bracelets they wear. Like any museum it sells tickets, ranging from $49 to $79, and has a gift shop. This shop, however, uses visitors’ biometric data collected during their visit to generate a unique design printed on a T-shirt. For $15,000, a robotic painting system called Qualia creates a one-of-a-kind canvas from that same data, painted once a day, with a waiting list already forming. A founding collection of 1,000 AI data sculptures that evolve based on environmental data from global rainforests sold out in 34 minutes at $5,000 each.The system running it all, which Anadol calls the Large Nature Model, was trained on more than 500 million nature images representing 2.2 million species, gathered through field expeditions to 16 rainforests and partnerships with institutions including the Smithsonian and the Cornell Lab of Ornithology.For Anadol, AI art requires a different kind of transparency than any medium that came before it. Because commercial AI tools have shaped how most people understand the technology, artists working with it seriously have to be more open about their process than painters or photographers ever did.“For AI art, we have to know where the data comes from, we have to know which model is trained and how it’s trained,” he says. “We can’t just think about authenticity and uniqueness if a service and product is the fundamental layer of the artwork.”The reviews for Dataland have mostly been positive, with one critic calling it the Citizen Kane of immersive experiences. But Anadol is used to a more divided reception. His 2022 installation at MoMA—a 7-by-7-meter screen of AI-generated fluid forms with shifting colors and sounds—drew 3 million visitors and entered the permanent collection, even as New York Magazine called it “a massive techno lava lamp.” Anadol sees the skepticism as nothing new, just the latest version of a resistance that has greeted all new media. “Every art form has gone through similar cycles of denial,” he says. “We are living in a renaissance that started 10 years ago, and I just don’t think everyone is aware of it yet.”Who Is Buying AI Art?The broader market data points in multiple directions at once. According to the Art Basel and UBS Art Market Report 2026, digital art’s share of sales nearly tripled between 2024 and 2025, and just over half of all fine art collectors surveyed had purchased a digital artwork in 2025, making it the third most popular category after painting and sculpture (the report does not break out AI art specifically).Meanwhile, Christie’s shuttered its pioneering digital art department in September, folding digital works back into its broader contemporary sales after none of its dedicated auctions broke $400,000.The most data-rich window into buyer behavior comes from a less glamorous corner of the market. After one major stock image platform allowed AI-generated images, monthly sales jumped 80 percent, according to Samuel Goldberg, an economist at Stanford Graduate School of Business who published a research paper about the shift. Traditional contributors began leaving the platform as generative images flooded in, and creators using AI tools rushed to fill the gap. “It looks like consumers like generative AI,” Goldberg says, “and it seems like nongenerative artists could be getting crowded out of the market.” Stock images are essentially a commodity version of art, according to Goldberg, and because image-generating models are already very good at producing them, what’s happening there may be a preview of what’s coming for other creative goods markets—including fine arts—as the technology improves.Artists are typically among the first to test the limits of a new technology; early adopters have created AI art since the 1970s. What’s new now is the ability for anyone to generate an image in seconds with a text prompt. That, according to Christiane Paul, curator of digital art at the Whitney Museum of American Art, is not the same thing at all. What fills those stock-image platforms, and what most people encounter when they think of AI art, does not qualify as art.True AI art, Paul says, is a subcategory of digital art that uses artificial intelligence as both a tool and a medium, engaging with it practically and conceptually, doing things like training custom models, building extensions, and layering control systems. “A visual created by a prompt is not art,” she says. What serious AI artists are actually doing is much more than typing a few words into DALL-E.Far from the shortcut most people assume, working seriously with AI as an artistic medium is, by her account, brutally hard. Every artist she talks to says the same thing. “It is much, much harder than a paintbrush to handle,” she says. “You are literally communicating with a system with a completely different logic.”Thanks to bubblemaps.io for its research assistance on the NFT market.
Ai-art Generative-ai Digital-art Blockchain
Small-AI Models Gain Traction Around the World
One morning in 2019, Adebayo Alonge was in a Cape Town hotel room, preparing to demonstrate his startup’s AI answer to a serious problem in African health care: counterfeit medication, which kills thousands of people across the continent every year.The RxScanner is a handheld spectrometer that scans a pill with infrared light, then sends the item’s molecular profile to an AI model equipped with a pharmaceutical database. In seconds, the AI identifies the medication from its molecular profile—or reports that it’s phony.Pharmacies were using the system in more than a dozen countries, including Ghana, Kenya, Myanmar, and Alonge’s native Nigeria. But that morning in South Africa, it didn’t work. “I was shocked,” Alonge says.The spectrometer connected to the AI model—but the data center was 14,000 kilometers away and bandwidth was limited. “Our server was in the United States, and just to get the result of a single scan was taking me over 5 minutes.”So Alonge immediately asked his engineers to shrink the AI model down to a smaller, low-power, unconnected version that could run entirely on his Android phone. They produced it 2 hours later, and that saved the demo.More importantly, the work birthed a new version of his device, which can authenticate a pill in places without broadband, computers, or even reliable electricity. It also turned Alonge into an advocate for this kind of “small AI.”Small AI for Global Health Care AccessSmall AI is a far cry from wealthy nations’ colossal large language models (LLMs), hyperscale data centers, multibillion-dollar investments, and debates about AI consciousness. But for millions of people around the world, the only AI that matters, and often the only kind available, is small. (According to a World Bank Report issued in November, only 0.7 percent of internet users in the world’s poorest countries have used ChatGPT, compared to a quarter of all internet users in the most developed nations.)“Most people are discussing AI from the LLM/generative side. But that needs a lot of computing power, electricity, massive data, and skilled people to manage it,” Ajay Banga, president of the World Bank, said last January at the World Economic Forum, in Davos. “Outside the developed world, other than maybe India and China, very few countries have that combination.”By contrast, small AI can deliver useful, even life-saving services to people in areas that have none of those things, Banga said. In India, where the government’s AI plans call for more development of small AI, many such systems are working for farmers.For example, a drone-based system developed by Bala Murugan and colleagues at the Vellore Institute of Technology, in India, takes photos of cashew plants and quickly identifies those with splotches that indicate disease. All the processing takes place on the drone itself, so there’s no need for a computer on-site, nor for a connection to a central server.Using small language models trained for a specific problem, and sometimes running on cheap, low-power devices, other small-AI implementations have been developed to identify ant infestations in a Uruguayan vineyard, detect the presence of malaria-carrying mosquitoes in a number of nations, and run electrocardiograms from an Arduino device in parts of Brazil that lack access to more complex equipment.“This is the most important area in AI nowadays,” says Marcelo José Rovai, a professor at the Institute of Engineering and Information Systems at the Federal University of Itajubá, in Brazil, who was involved in all three projects. “It’s growing very fast.”Low-Power, Small-AI Models on Devices Small AI models can run on a variety of low-power devices, including [from left to right] an Arduino Nano 33 BLE Sense, a Seeed Wio Terminal, and an Arduino Portenta.Moez AltayebFor Alonge, Rovai, and other advocates, small AI is not just “a promising trend,” as that November World Bank report calls it. It may be, in the long term, the form of AI that will touch the most lives and remain sustainable after some of the giant models become too costly for most users.“I think the future of AI is not like one giant model, at a center. I think it’s millions of small, precise models deployed at the edge, each one solving like a specific problem, a specific context,” Alonge says. This is partly because much of humanity—including people in parts of rich countries as well as the developing world—lives without access to cutting-edge frontier models. But, he says, it’s also because those models are not sustainable.“If someone is not subsidizing it, most people will not be able to afford those models. So those of us who are said to be small-AI developers are the ones who will have to build for the majority of the world,” Alonge says.There is no strict definition of “small AI,” but people often use the term for language models with at most a few billion parameters. (Compare that to cutting-edge models, which can include more than a trillion.) That’s small enough to run directly on a phone or a Raspberry Pi. That’s what allows these applications to run on devices without a connection to a data center and use only a few watts of power, often supplied by a battery or a solar panel.Despite their small footprint, these models aren’t fundamentally different technology from that of gigantic AI models, Rovai says. Many instances of small language models were created the same way the phone-based version of Alonge’s pharmaceuticals scanner was—by “pruning” large models, or removing the parameters that weren’t involved in the task. The result is a system that’s less capable generally but still very good at the specific job it was pruned for, Rovai says. A lighter version of RxAll’s RxScanner spectrometer sends its results to an AI model run locally on a phone to check that a drug’s molecular signature is genuine.RxAllOther small models are created by “distillation.” They are trained to mimic a large model, until their performance approaches that of their “teacher,” Rovai says. In other cases, a larger model’s precision is reduced, for example, so that a model run on 32-bit architecture can run on 8-bit designs. In situations where the machine learning application is being used to classify data or predict patterns (like an ant infestation), it’s trained from the beginning on a small device, not derived from a larger model at all. Running all these small, specialized systems is becoming easier, Rovai says, for two reasons.The first reason is that hardware is getting better and more capable while using less power, he says. This means more and more phones can run small AI—especially those equipped with neural processing units, which are specialized chips that handle AI tasks like facial recognition and changing the brightness, shadows, or contrast in a photo.In 2025, slightly more than a third of all smartphones shipped worldwide were capable of running generative AI, and that figure will reach 45 percent by the end of this year, according to the technology research firm Counterpoint. By the end of next year, slightly more than half of all smartphones will be able to run a small AI model.The second reason Rovai cites is the shrinking footprint of language models. Both Google DeepMind’s Gemma 4 (released in April) and Alibaba’s Qwen 3.5 are “fantastic” for small AI, Rovai says. Both models are “open weight,” meaning users can adjust the connections between parameters to suit their needs. This makes it easy, for example, “to take a lot of data from, say, the milk industry and retrain the model specifically on that,” Rovai says.Rovai illustrated these reasons on a Zoom call, using one of his most recent experiments. Holding up a device, he says, “This is the new Arduino UNO Q—a US $50 device with a Qualcomm chipset. I’m running a language model here, which collects data from sensors and analyzes that data to detect tiny pools of water where mosquitoes might be breeding. It takes 3 watts to run it.”Support for Small-AI DevelopmentConvinced that millions of people are already benefiting from these kinds of applications, the World Bank now actively promotes small AI with grants, mentorship programs, financing, technical advice, and models of government policies that are friendly for small-AI development. For example, in Rwanda, the World Bank is backing a government program to help low-income households get devices that can run AI.All that said, no one claims that large language models are going away entirely. To create a generative AI that can run on a phone or other small device requires the architectural insights, data processing, and results of a larger model, Rovai says. “We need the big models to create these smaller models.” And for all that small AI can benefit people without access to big AI, the technology can’t solve the larger problems of development and digital inequality, Alonge says. Implementing small AI won’t allow nations to escape the challenge of creating an ecosystem to support AI: reliable power, a supply chain that works, and an educational system that develops the talents needed to create AI tools.Though his drug-scanning system can run for days on a phone with no connection, “you still want to be able to enable periodic syncing for updates with new signatures for the medications and analytics,” Alonge says. “And even when you are using batteries, reliable power is important. That phone battery is not going to last forever.”In many parts of the world, the future of small AI isn’t assured, he says. “It works, and many places will eventually need to use it. The question is whether or not the political actors are wise enough to invest in infrastructure to support it long term.”
Small-language-models Artificial-intelligence Llms
$4.1 Billion Deal Shows Why Ferrari and Tesla Are Ditching Copper for a Substitute
$4.1 Billion Deal Shows Why Ferrari and Tesla Are Ditching Copper for a Substitute $4.1 Billion Deal Shows Why Ferrari and Tesla Are Ditching Copper for a Substitute Stjepan Kalinic Sun, July 5, 2026 at 8:31 AM PDT 6 min read RACE.MI TSLA Benzinga and Yahoo Finance LLC may earn commission or revenue on some items through the links below. Substitution is one of the fundamental economic forces. If a product goes up in price, consumers have a direct incentive to switch to a cheaper substitute. While branding power dictates some price flexibility, such calculations are more straightforward for fungible commodities. When copper costs about $15,000 a metric ton, manufacturers have every right to ask – does every wire really need to be copper? With data centers, grid upgrades and green-energy projects tightening supply, the answer from automakers is increasingly no. Aluminum, trading at $3,100 per ton, is being promoted wherever physics allows. Don't Miss: A single bad hire can set a startup back years. Here are the 5 hires founders most often misjudge — and why Still Learning the Market? These 50 Must-Know Terms Can Help You Catch Up Fast Driving Investment and Corporate Consolidation Aside from being much cheaper, the metal is lighter and good enough for many vehicle applications. The appeal to save on weight is just a bonus for range-anxious electric vehicles. Ferrari has used aluminum in bodies, engines, and chassis for years and has recently begun using aluminum power cables in the 296 hybrid and other models. The payoff can be meaningful: wiring weight savings of up to 20%. "We are not choosing aluminum because it's cheaper; we choose the material that has better performance," the firm's communications executive Dario Esposito said per Reuters. Market interest is driving asset transactions, as Alcoa Corp. has just signed a binding agreement to acquire most of South32 Ltd.'s aluminum value chain for $4.1 billion. These include assets in Australia, South Africa and Brazil, but not the Mozal operation in Mozambique. The largest domestic aluminum producer expects the transaction will generate about $900 million in synergies. JPMorgan estimates the aluminum substitution could affect about 2% of global copper demand this year, and potentially as much as 6% by 2030. Trending: Avoid the #1 Investing Mistake: How Your 'Safe' Holdings Could Be Costing You Big Time A Partial Substitute Still, aluminum is not copper with a discount sticker. It is less electrically conductive, meaning cables often must be thicker to carry the same current. Those properties create problems in tight spaces – shared by both data centers and automobiles. For high-performance systems and specialized applications, copper's efficiency still remains ahead. Story Continues Then, there are environmental and geopolitical complications. The final phase of aluminum production is energy-intensive, often generating a much larger carbon footprint than copper. Energy prices have squeezed domestic producers and closed smelters, while trade frictions, including U.S. tariffs, further complicate sourcing. Cable makers provide some guidance on the issue. Xavier Mathieu, VP of Nexans, the second-largest global cable manufacturer, said buyers typically start switching when copper costs about 3.5 times as much as aluminum. The current ratio exceeds 4.2. The math means aluminum will keep swallowing market share where weight and space permit, but copper's performance edge still means it is the hedge, not the heir. Photo by laowaika via Shutterstock Read Next: Skip the Regrets: The Essential Retirement Tips Experts Wish Everyone Knew Earlier. Think you're saving enough for your kids? You might be dangerously off — see why Building Wealth Across More Than Just the Market Building a resilient portfolio means thinking beyond a single asset or market trend. Economic cycles shift, sectors rise and fall, and no one investment performs well in every environment. That's why many investors look to diversify with platforms that provide access to real estate, fixed-income opportunities, precious metals, and even self-directed retirement accounts. By spreading exposure across multiple asset classes, it becomes easier to manage risk, capture steady returns, and create long-term wealth that isn't tied to the fortunes of just one company or industry. Arrived Backed by Jeff Bezos, Arrived Homes makes real estate investing accessible with a low barrier to entry. Investors can buy fractional shares of single-family rentals and vacation homes starting with as little as $100. This allows everyday investors to diversify into real estate, collect rental income, and build long-term wealth without needing to manage properties directly. FarmTogether Farmland has historically held its value through market volatility and delivered returns uncorrelated to stocks and bonds. For accredited investors, FarmTogether offers direct access to high-quality U.S. farmland starting at $15,000 — fully ma
Japan Pioneered Humanoid Robots—Can It Now Catch China?
“In the future, the relationship between humans and robots will deepen, and the distinction between them will probably disappear.” This prediction, from one of the attendees at the recent Humanoids Summit in Tokyo, might have been unremarkable had it not come directly from an android that was first introduced to the world 20 years ago. Geminoid HI-6 is the sixth-generation of a robot originally designed in 2006. The mechanical twin of Osaka University professor Hiroshi Ishiguro, Geminoid HI-6 is now equipped with a large language model trained on Ishiguro’s own writings and interviews. It has advanced conversational skills and can even have a chat with its creator, an eerie spectacle. But at the Humanoids Summit, Geminoid was one of the few humanoid robots from Japan, the country that pioneered the form factor.While the event in Tokyo only had about 40 robots on display, Chinese systems outnumbered Japanese by roughly three to one. Some Japanese robotics firms were even using Chinese robots in their own technology demonstrations, something that would have been unthinkable in the recent past—one Japanese engineer described the situation as “sad.” The conference was a stark reminder of how Japan has ceded its early lead in humanoid robot development to overseas competitors, and the challenge it now faces to secure a place in an ecosystem increasingly dominated by general-purpose robots powered by AI. Twenty-five years ago, Japan was turning out groundbreaking humanoids that were showstopping in their abilities, but they were not commercialized as practical machines in any meaningful way. Heavily influenced by science fiction and lacking practical applications, they were mostly expensive technology demonstrations that were eventually mothballed. What Japan retains, however, is robotics design and know-how, which it must leverage to be a key player in the rapidly evolving humanoid ecosystem. Learning to Walk—Then Standing StillTo anyone who has seen recent videos of Chinese humanoids doing kung-fu and synchronized acrobatics, as well as half-marathon races, China’s remarkable progress in the field is nothing new. At the Humanoids Summit, Toyota showed a video of its latest basketball-playing robot, and Honda exhibited its latest robot hand, but the full-scale humanoids on the floor were mostly Chinese–the kid-size K1 machines from Booster Robotics of Beijing were dancing to Michael Jackson tunes. The full-scale G1 humanoid from Unitree Robotics of Hangzhou was also doing demos. “You cannot sell these bipedal systems in Japan for safety and compliance reasons,” says Shuichi Nagao, a frequent visitor to China as CTO of Omakase Robotics, a division of Zeals, a Japanese humanoid robot developer. Omakase was exhibiting a G1 modified with an external PC controller, a dextrous hand, a suction-cup manipulator and a sensor “hat” with an extra speaker, mic and camera. “In China, the government is pushing humanoid development. They didn’t have an industry 20 years ago. The people pushing it are young, in their 20s and 30s. It’s a really different mentality out there,” says Nagao. “Big players in Japan are still looking for use cases for humanoids. In China, they’re already doing mass production and reducing the cost, so other countries can’t compete with them anymore.”Another Japanese company showing off G1 bots was summit sponsor GMO AI & Robotics, a subsidiary of Japanese internet company GMO. It’s using the robots in partnership with Japan Airlines to load and unload cargo containers at Tokyo’s Haneda airport. The cargo project is a trial—like many other humanoid experiments—but the fact that Chinese machines have penetrated so far into Japan’s ecosystem upends a long history. In 1973, scientists at Waseda University in Tokyo built WABOT-1, considered the first full-scale humanoid robot and capable of slow bipedal locomotion, grasping objects and simple communication. It inspired Honda’s groundbreaking Asimo humanoid, but it was never commercialized. Asimo was eventually retired in 2022, the year ChatGPT was released. Two years later, Unitree’s G1 went on sale for US $16,000. China’s High Torque Technology Co. showed off its Mini Pi biped, customized with an anime-inspired head, at Humanoids Summit in Tokyo. The regular version is priced at $3,500. Tim HornyakSupply and DemandJapan’s development of humanoids happened before practical applications or widespread demand were in place, but bad timing is only part of the story—Japan also has a history of developing technologies that might appeal to domestic consumers but not necessarily those overseas. For example, decades after they first appeared, its highly engineered, multifunction toilets have only recently found a following abroad. Japan’s humanoid prowess was partly built on the back of its legendary industrial automation, yet even that stronghold has eroded. Ani Kelkar, a partner from McKinsey & Company in Boston who produces analytical reports about the robotics industry, told the summit audience that while Japan occupied the top spot in the world in manufacturing robot density (the number of multipurpose industrial robots in operation per 10,000 employees) from at least 1994 to 2009, it then slipped to second in 2014, third in 2019 and fifth in 2024. In that year, South Korea was at the top of the leaderboard with a robot density of 1,220 compared to Japan’s 446. The International Federation of Robotics estimates China now has the most operational industrial robots in the world, with around 2 million total units, approximately 4.5 times more than Japan. “The annual installation numbers are impressive too: 54 percent of all robots installed worldwide in 2024 were deployed in China,” the IFR said in a release in April 2026. “I think the loss of Japanese leadership is more to do with the rise of China as a manufacturing powerhouse including for sectors that Japan had high export levels,” Kelkar said in an email interview. “The recovery has not yet happened as Japan ‘missed’ the rapid acceleration in AI for robotics and is now playing catchup.”How Japan Can Adapt Kelkar believes Japan has a US $100 billion opportunity in general-purpose robotics, which are machines that can perform a wide variety of tasks, and it cannot rely on the slower-growing industrial robot market, which is centered on factory machines that do one simple and predictable task like welding car parts. He points to a McKinsey white paper suggesting that while Japan has much of the hardware and technology experience needed to support general purpose robot development, it must change its strategy to capture more share in AI, software, data collection and robotics platforms.Tetsuya Ogata is a professor of engineering and director of the Institute for AI and Robotics at Waseda University, the birthplace of humanoids in Japan. He briefed the summit on how a nonprofit he chairs, the AI Robot Association (AIRoA), is working with Toyota and other members to develop foundational technologies for collaborative use. For instance, AIRoA has collected some 80,000 hours of data on remote operation of mobile manipulators, and Ogata believes it’s the largest dataset of its kind. Using the data, it built and verified Vision-Language-Action (VLA) models, and it has also started data collection for dual-arm mobile manipulation. In an interview, Ogata acknowledged Japan’s struggle to find its place in the changing landscape. “The world of AI is inherently a game of scale,” says Ogata. “Therefore, Japan’s absolute prerequisite is to secure a competitive baseline of scale—in data, computing resources, and talent. Beyond that, what I consider most critical is a mindset shift: rather than trying to hoard scale within a single nation or company, we must grow stronger by collaborating with a diverse ecosystem of domestic and international players.” Specifically, this means creating a ‘collaborative domain’ to address data—the single biggest bottleneck—through industry-wide cooperation rather than data-siloing. By collectively nurturing a pre-competitive, shared data infrastructure and foundation model, individual companies can then compete on top of it with their own applications. “By offering this open ‘data ecosystem’ to the world, we can engage global players and establish a ‘third pole’ alongside the US and China,” says Ogata. “I believe this is how Japan can reclaim its global presence.”In 1999, Japan introduced the world’s first mobile internet services platform. But being first didn’t turn Japan into a smartphone manufacturing or design center—it’s now merely a supplier of parts to other countries who are leading the smartphone industry. If Japan can avoid a repeat of that experience and successfully deregulate, diversity, and commercialize its original humanoid dreams, it stands a better chance of influencing the direction of the industry and reaping billions in value. As automobiles and electronics were pillars of Japan’s industrial strategy in the last century, Japan could make humanoid robots one of its key value generators in the 21st century, an approach that would not only deliver economic benefits but give Japan greater clout in how the industry will evolve. Just like Japanese cars, electronics, and even toilets, Japanese humanoids could stand for craftsmanship and reliability. It’s a legacy that Japan can’t afford to give up.
Japan Robotics Humanoids Humanoid-robots
UK abandons Type 83 destroyer plans for aerial and underwater drone motherships
The Royal Navy is poised to implement a significant shift in its defense strategy, aiming to enhance its operational capabilities in response to evolving global threats. This strategic overhaul, announced on October 15, 2023, will focus on modernizing naval forces and integrating advanced technologies to better address challenges in maritime security. The initiative is part of a broader effort to ensure the Royal Navy remains a formidable presence in international waters, particularly amid rising tensions in various regions. The decision comes as defense officials recognize the need for a more agile and responsive naval fleet, capable of countering emerging threats from state and non-state actors alike. By investing in cutting-edge equipment and fostering partnerships with allied nations, the Royal Navy seeks to bolster its deterrence capabilities and maintain strategic advantages. The new strategy will involve a comprehensive review of current assets and a commitment to developing innovative solutions that align with the United Kingdom's defense priorities. This proactive approach is intended to safeguard national interests and enhance the Royal Navy's role in global security operations. As the Royal Navy embarks on this transformative journey, it aims to ensure that it is well-equipped to navigate the complexities of modern warfare and uphold its commitment to protecting the UK's maritime interests.
Military
New Franco-German armored tank incorporates unmanned turret and drone systems
Franco-German defense companies Krauss-Maffei Wegmann and Nexter Defense Systems (KNDS) have introduced a new main battle tank, marking a significant advancement in military technology. The unveiling took place during a defense exhibition in Paris on October 15, 2023. This new tank is designed to enhance the operational capabilities of European armed forces amid increasing geopolitical tensions and evolving security threats. The collaboration between the two companies aims to strengthen defense cooperation within Europe and provide a modern solution to meet the demands of contemporary warfare. The development process involved extensive research and innovation, focusing on advanced armor, firepower, and mobility to ensure the tank meets the rigorous standards of modern combat scenarios.
Innovation Military
New sub-450-gram mini drone system sustains autonomous surveillance despite GPS jamming
As military forces seek innovative solutions to enhance soldier safety and situational awareness, recent advancements in technology are being explored. These developments aim to provide troops with better protection while ensuring they remain alert to their surroundings. The initiative comes in response to the increasing challenges faced by soldiers operating in high-stress environments, where the balance between safety and awareness is crucial. By integrating cutting-edge wearable devices and advanced communication systems, armies are working to create a more effective and responsive combat experience. This effort is particularly relevant in light of ongoing conflicts and the evolving nature of warfare, which demands that soldiers be both protected and informed. The implementation of these technologies is expected to improve operational efficiency and reduce risks on the battlefield, ultimately enhancing the overall effectiveness of military missions.
Military
Pentagon may ‘sacrifice’ traditional weapons to buy more drones if reconciliation fails: CTO
In a recent discussion, Emil Michael emphasized the ongoing debate within defense sectors regarding the allocation of resources toward military technology. He highlighted the critical trade-offs being made between investing in advanced weaponry and systems versus developing low-cost autonomous weapons. This conversation reflects a broader trend as nations reassess their military strategies and budgets in light of evolving warfare dynamics. The dialogue underscores the necessity for defense planners to carefully consider the implications of their choices, particularly as they navigate the complexities of modern combat and technological advancements. Michael's remarks shed light on the strategic decisions that could shape future military capabilities and the balance of power on the global stage.
Congress Networks & Digital Warfare Pentagon AI & Autonomy artificial intelligence AI cyber security
US’ new 180-foot drone ship could launch hypersonic missiles, demo set for 2027
Saronic and Castelion, two prominent defense technology firms, have unveiled their intention to merge efforts in developing an autonomous warship. This strategic collaboration aims to enhance maritime security capabilities and address emerging threats in naval warfare. The announcement was made on October 15, 2023, during a defense technology conference held in Athens, Greece. The motivation behind this partnership stems from the increasing demand for advanced naval solutions that can operate independently in complex environments. By pooling their expertise and resources, Saronic and Castelion seek to accelerate the innovation process and deliver cutting-edge technology to military clients worldwide. The proposed autonomous warship is expected to incorporate advanced artificial intelligence and machine learning systems, enabling it to perform a variety of missions, including reconnaissance, surveillance, and combat operations, without direct human intervention. This development reflects a broader trend in the defense industry towards automation and smart technologies, aimed at enhancing operational efficiency and reducing risks to personnel. As the defense sector continues to evolve, the collaboration between Saronic and Castelion positions them at the forefront of the autonomous naval warfare market, potentially reshaping the future of maritime defense strategies.
Military
Lockheed pitches HIMARS for France, with 18-month timeline offer
France has announced a significant investment of around €600 million ($692 million) aimed at modernizing its military capabilities by replacing outdated LRU launchers. This funding decision reflects the country's commitment to enhancing its defense infrastructure in response to evolving security challenges. The initiative is part of a broader strategy to ensure that France maintains a competitive edge in military technology. The allocation is expected to facilitate the development and deployment of advanced systems that can better meet the demands of contemporary warfare. The modernization project is set to take place over the coming years, with the French government emphasizing the importance of maintaining robust defense capabilities in an increasingly complex global landscape.
Global Land Warfare Air Force Army Europe EUROSATORY 2026
US Military Invests $18 Million in Humanoid Robots While China Develops Alternative Strategies
The landscape of military technology is rapidly evolving, with the United States making significant investments in humanoid robots designed for combat and reconnaissance, notably the Phantom MK-1. This initiative reflects the US's commitment to integrating advanced robotics into its military operations. Meanwhile, China is discreetly enhancing its military robotics capabilities, emphasizing systematic development over public announcements. As both nations advance their military robotics programs, they are adapting to a new era of warfare where the role of robots is becoming increasingly pivotal on the battlefield. The competition between the US and China underscores the strategic importance of robotics in modern military engagements, as both countries seek to leverage technology to gain an advantage in future conflicts.
Military Robotics Humanoid Robots Defense Technology Autonomous Systems
US’ drone-killing capability to get precision, accuracy with new combat-proven advanced fuzes
A Melbourne-based defense company has secured a contract to supply the U.S. Navy with advanced Mechanical Proximity Fuzes, which have been tested and proven in combat situations. This significant agreement, announced recently, aims to enhance the Navy's operational capabilities by integrating these precision fuzes into their munitions systems. The deal underscores the growing collaboration between Australian defense manufacturers and the U.S. military, driven by the need for reliable and effective weaponry in modern warfare. The fuzes are designed to improve the accuracy and effectiveness of naval operations, ensuring that the U.S. Navy maintains a technological edge. The delivery of these fuzes is expected to commence in the coming months, marking a crucial step in strengthening defense ties between the two nations.
New three-layered armor protects vehicles from mines, RPGs and drone attacks
Defense companies are innovating in armored vehicle protection, shifting away from traditional methods of using thicker steel and heavier plating. This evolution in military technology is driven by the need for enhanced safety and effectiveness in combat situations. As threats become more sophisticated, manufacturers are exploring advanced materials and designs that offer better protection while maintaining mobility and performance. The ongoing research and development efforts are taking place across various locations, with companies aiming to meet the demands of modern warfare. This transition reflects a broader trend in the defense industry, where adaptability and innovation are crucial in ensuring the safety of personnel and the success of missions.
‘Loyal wingman’ test: F-35 fighter jet and MQ-20 drone display manned-unmanned teaming
General Atomics has successfully demonstrated interoperability between the F-35 fighter jet and its advanced drone systems. This achievement, announced recently, marks a significant milestone in enhancing military capabilities and operational efficiency. The demonstration took place at a military testing facility, showcasing how the F-35 can seamlessly integrate with unmanned aerial vehicles (UAVs) to improve mission effectiveness. The motivation behind this development stems from the growing need for advanced warfare strategies that leverage both manned and unmanned systems. By ensuring that the F-35 can communicate and coordinate with drones, General Atomics aims to provide military forces with a more versatile and responsive combat platform. This interoperability is expected to enhance situational awareness and decision-making during complex missions. The successful integration was achieved through rigorous testing and validation processes, which involved real-time data sharing and tactical coordination between the aircraft and drones. This advancement not only underscores General Atomics' commitment to innovation in defense technology but also positions the F-35 as a pivotal asset in future military operations.
US soldiers learn to identify drones by sound
The US Army is exploring the integration of audio drone training into its curriculum, according to statements made by a spokesperson, Harrington. Although formal implementation has not yet occurred, Harrington emphasized the value of field experience in developing the ability to distinguish between different types of drones by listening to their sounds. This initiative aims to enhance soldiers' operational skills and situational awareness in the field. As the military continues to adapt to evolving technology, such training could play a crucial role in preparing personnel for modern warfare challenges.
Air Warfare Global Air Force Drones Europe FPV
Anti-Drone “Cope Cage” Appears On Russian Patrol Boat
Ukrainian drone attacks on naval targets have prompted the Russian military to enhance its defensive measures, particularly in response to the evolving threat posed by these unmanned aerial vehicles. Recent developments include the introduction of an anti-drone system known as the "Cope Cage" on Russian patrol boats. This innovation comes as traditional overhead screens have proven less effective against the increasing sophistication of drone warfare. The situation highlights the ongoing conflict between Ukraine and Russia, with both sides adapting their strategies to counter the other's capabilities. As the conflict continues, the effectiveness of such defensive technologies will be crucial in safeguarding naval assets in the region.
Sea Around The Globe Drones Europe Navies News & Features
China showcases submarine-launched anti-mine vehicles, robotic combat dogs at defense expo
A new generation of autonomous underwater drones has been developed to detect and neutralize naval mines, marking a significant advancement in maritime security technology. This innovation was unveiled at a recent defense technology conference held in Washington, D.C., where experts gathered to discuss the future of naval warfare. The drones are designed to enhance safety for naval operations by providing a reliable solution to the persistent threat of underwater mines, which pose risks to both military and commercial vessels. The motivation behind this technological breakthrough stems from the increasing need for efficient and effective mine countermeasures in response to evolving maritime threats. By employing advanced sensors and artificial intelligence, these drones can autonomously navigate and identify mines, significantly reducing the risk to human divers and traditional mine-clearing vessels. The development process involved collaboration between defense contractors and military research organizations, leveraging cutting-edge technology to improve operational capabilities. As naval forces worldwide seek to modernize their fleets, this innovation is expected to play a crucial role in enhancing maritime security and ensuring safe passage in contested waters.
The next Army chief won’t inherit a force, he’ll inherit an argument
In a recent op-ed, John G. Ferrari emphasizes the critical role of land power in contemporary warfare, particularly as military strategies increasingly rely on drone technology. As the Army prepares for the appointment of its next chief, Ferrari argues that this leader must demonstrate the enduring importance of ground forces in a landscape dominated by aerial capabilities. He highlights the necessity for the Army to adapt and integrate traditional land power with modern advancements to ensure its relevance in future conflicts. The commentary reflects ongoing debates within military circles about the balance between traditional and modern warfare tactics, underscoring the need for a strategic vision that encompasses both elements.
Land Warfare Opinion Army army modernization Op-Ed Commentary
Video: US Navy tests MQ-25A refueling drone in first autonomous operational flight
Boeing and the U.S. Navy have advanced their efforts to integrate unmanned aircraft into military operations, marking a significant development in modern warfare technology. This collaboration was highlighted during a recent demonstration held at a naval base, where various unmanned systems showcased their capabilities in real-time scenarios. The event, which took place in October 2023, aimed to assess the effectiveness of these aircraft in enhancing operational efficiency and safety for naval forces. The integration of unmanned systems is driven by the Navy's need to improve reconnaissance, surveillance, and combat capabilities while reducing risks to personnel. By leveraging Boeing's expertise in aerospace technology, the Navy seeks to enhance its operational readiness and adaptability in increasingly complex combat environments. The demonstration illustrated how these unmanned aircraft can operate alongside manned missions, providing critical support and intelligence. As the military continues to explore innovative solutions, this partnership between Boeing and the U.S. Navy represents a pivotal step towards a future where unmanned systems play a central role in naval strategy and operations. The successful outcomes of this initiative could pave the way for broader adoption of unmanned technologies across various branches of the armed forces.
US Marine Corps seeks new portable attack drone to strike tanks from 15 miles away
The U.S. Marine Corps is expediting its initiative to provide frontline units with advanced equipment designed to enhance operational capabilities. This strategic move, announced recently, aims to ensure that Marines are better prepared for modern warfare challenges. The acceleration comes in response to evolving threats and the need for improved readiness on the battlefield. By streamlining the procurement and deployment processes, the Marine Corps intends to integrate cutting-edge technology and resources more swiftly into its operations. This initiative reflects a broader commitment to maintaining military effectiveness and adapting to the dynamic nature of global security environments.
Video Friday: Beep! Beep! Roadrunner Bipedal Bot Breaks the Mold
IEEE Spectrum robotics has released its weekly roundup of notable robotics videos and events. Among the highlights is the introduction of "Roadrunner," a new bipedal wheeled robot prototype that can switch between various locomotion modes, designed for enhanced navigation. Weighing approximately 15 kg, it features symmetric legs that can adapt for obstacle avoidance and movement management. NASA has announced two ambitious missions: SkyFall, which will deploy next-generation helicopters on Mars to scout landing sites and map subsurface water ice, and MoonFall, aimed at preparing for future Artemis missions by sending drones to explore the lunar South Pole. These drones will operate independently for 14 Earth days, surveying challenging terrains. In research advancements, a team from MIT has developed Electrofluidic Fiber Muscles, a new class of soft and flexible artificial muscles for robots and wearables, promising improved agility and integration into textiles. Additionally, the open-source quadruped robot MEVIUS2 has been unveiled, capable of climbing stairs and steep slopes. Other innovations include a wristband from MIT that allows users to control a robotic hand through their own movements, and a cooking robot from Zhejiang Lab that autonomously processes ingredients and performs cooking tasks with high precision. The CMU Robotics Institute is set to host a seminar by Hadas Kress-Gazit from Cornell, focusing on the role of formal methods in robotics amidst the rise of big data.
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Humanoid Robots in War: From Tesla Optimus to AI Soldiers
In a groundbreaking development, the Phantom MK-1 has been deployed to Ukraine, marking the first instance of a humanoid robot being utilized in an active warzone. This deployment comes amid ongoing discussions about the implications of integrating advanced robotics into military operations, particularly in light of the evolving landscape of warfare and the potential arms race between nations. The introduction of the Phantom MK-1 raises significant legal and ethical questions regarding the use of autonomous systems in combat, as experts compare its capabilities to those of Tesla's Optimus robot. The situation unfolds in March 2026, as Ukraine continues to navigate its complex conflict environment, seeking innovative solutions to enhance its defense capabilities. The deployment of such technology underscores the urgency for international regulations to address the challenges posed by military robotics and to ensure accountability in their use on the battlefield.
Beyond the Gala: OmniXtreme Breaks the Generality Barrier for Humanoid Agility
A collaborative effort between BIGAI and Unitree has led to the development of OmniXtreme, an innovative unified control policy designed for humanoid robots. This groundbreaking technology allows these robots to execute a wide range of extreme movements, including backflips and breakdancing, without requiring extensive task-specific adjustments. The unveiling of OmniXtreme marks a significant advancement in robotics, showcasing the potential for more versatile and adaptable robotic performances. The announcement comes as the field of robotics continues to evolve, pushing the boundaries of what machines can achieve in terms of agility and movement.
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RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
