Industry Briefing
A single destination for timely, editor-curated robotics news from around the world.
HKU Professor Li Hongyang secures hundreds of millions in seed funding for his startup on embodied AI.
Archon Robotics, a Shanghai-based company specializing in whole-body humanoid models, has successfully secured hundreds of millions in seed funding from prominent investors, including ZhenFund, Gao Rong Capital, IDG Capital, and others. The financing round, which took place recently, aims to enhance the development of humanoid models, collect multimodal motion data, expand the talent team, and establish research centers and industry partnerships, with the goal of launching an open-source humanoid model by the end of this year. Founded in April 2026, Archon Robotics focuses on creating whole-body intelligence for humanoid robots, enabling them to perform complex tasks that require full-body coordination. The company's founder, Dr. Hongyang Li, is an assistant professor at the University of Hong Kong and has received accolades for his work in autonomous driving. Co-founder and CEO Dr. Tianyu Li, along with the core team, brings expertise from top institutions and has a strong background in robotics and AI. The humanoid robotics sector is at a pivotal moment, with significant investments occurring but lacking a unified technical consensus. Current limitations in training data restrict robots to simple tasks, as they often lack the necessary information for complex human-like interactions. Archon Robotics aims to address these gaps by redefining data collection methods to better capture human coordination and movement dynamics. The company plans to release its first humanoid model in late 2026, emphasizing the need for robots to operate effectively in dynamic home environments. By focusing on comprehensive data collection and understanding physical interactions, Archon Robotics seeks to advance the capabilities of humanoid robots beyond current limitations.
Is "Dehydration Cooling" the Future for Data Centers in the AI Era? Insights from Microsoft's Waterless Cooling Strategy.
Microsoft has announced new water conservation measures for its data centers in response to the growing demand for AI and cloud services. The tech giant aims to achieve water positivity by 2030, targeting a 90% improvement in water usage efficiency compared to initial levels. To support this goal, Microsoft plans to implement waterless cooling systems in its latest facilities and utilize rainwater, thereby promoting sustainable infrastructure operations.
Samsung, SK Ready Decade of Spending to Sustain Korea’s AI Lead
South Korea is preparing to announce a significant initiative to enhance its position as a leader in technology. Major companies, including Samsung Electronics Co. and SK Hynix Inc., are expected to reveal plans for substantial investments over the next ten years. These investments will focus on key sectors such as memory chips, data centers, and robotics. The unveiling of this ambitious strategy is anticipated to take place soon, reflecting the country's commitment to advancing its technological capabilities and fostering innovation in these critical industries. This move is seen as a response to the growing global competition in technology and aims to solidify South Korea's role as a central player in the tech landscape.
KSC:000660 KSC:005930
Middle East Tensions, Tesla Deliveries and Other Can't Miss Items this Week
Tensions in the Middle East escalated over the weekend as Iran launched strikes against U.S. military bases in Bahrain and Kuwait, raising concerns about the stability of the fragile U.S.-Iran peace framework established through a recent memorandum of understanding. This renewed conflict threatens access to the Strait of Hormuz, crucial for global energy supplies, just as markets were beginning to stabilize following last week’s diplomatic progress. The ongoing hostilities create uncertainty in energy markets, with potential implications for oil prices and inflation. In the financial sector, Tesla is set to announce its Q2 global delivery numbers before the market opens on Thursday, with analysts forecasting a 4% year-over-year increase to 401,000 electric vehicles. This report will be critical in assessing consumer demand for EVs amid economic uncertainties and heightened competition. The timing of Tesla's announcement coincides with the release of the June jobs report, which includes average hourly earnings and initial jobless claims, providing key economic data before the July 4th holiday. As geopolitical tensions and economic indicators converge, markets face a volatile week, with investors closely monitoring developments in Iran and Tesla's performance, both of which could significantly impact market dynamics and investor sentiment heading into the second half of 2026.
How Robotaxis Are Making Headway, Glitches and All
A new technology that has long been anticipated is finally making its debut, albeit in a limited capacity. This development comes after years of speculation and promises about its potential impact. As of October 2023, the technology has been trained on data, suggesting that it is now equipped to perform its intended functions. While the specifics of its applications remain to be fully realized, experts are cautiously optimistic about its capabilities. The gradual rollout aims to address previous concerns and expectations surrounding the technology, which has been described as a game-changer in its field. As it begins to integrate into various sectors, stakeholders are eager to see how it will evolve and what benefits it may bring.
NYS:UBER NMS:TSLA NMS:BIDU
Inside HD Hyundai Electric’s AI power push
HD Hyundai Electric unveiled its new power distribution complex in Cheongju, North Chungcheong Province, during a media tour on Thursday. The facility represents a significant shift in the electricity sector, showcasing a sophisticated network of robotic arms and autonomous carriers that streamline operations. Observers noted the advanced control room, where workers monitored real-time energy data, highlighting the plant's focus on automation and efficiency. This development reflects the company's commitment to modernizing power distribution and adapting to the evolving energy landscape.
All News
Micron (MU) Surpasses Market Valuation of Meta and Briefly Tesla, Reuters Reports
Micron Technology, Inc. has made headlines by surpassing the market valuations of both Meta Platforms and briefly Tesla for the first time, as reported by Reuters on June 25, 2026. This notable achievement came after the company’s shares surged by 18.4%, reaching a price of $1,236 and giving Micron a market capitalization of $1.398 trillion, compared to Meta's $1.392 trillion and Tesla's $1.4 trillion. The boost in Micron's stock price follows a strong fiscal Q3 earnings report that exceeded expectations, prompting DA Davidson to raise its price target for the stock from $1,500 to $2,000 while maintaining a Buy rating. Analysts highlighted that Micron has entered a phase of heightened visibility within the semiconductor industry, marking a significant shift from its historical performance. The positive outlook suggests that the memory cycle remains robust, further fueling investor confidence. Micron, which specializes in innovative memory and storage solutions, operates across several segments, including Compute and Networking, Mobile, Embedded, and Storage Business Units. While the company shows promise as an investment, some analysts caution that other AI stocks may offer greater potential with less risk.
How GE Vernova builds the massive gas turbines powering the AI data center boom
Elon Musk's xAI Colossus 1 data center is now being powered by GE Vernova turbines, marking a significant advancement in sustainable energy for tech infrastructure. In a related move, Microsoft has also acquired seven of these turbines to supply energy to its data center located in Texas. This initiative comes as both companies seek to enhance their operational efficiency and reduce their carbon footprint, aligning with broader industry trends towards renewable energy solutions. The deployment of GE Vernova's technology is expected to support the growing demand for data processing while promoting environmental sustainability.
What lessons is Ideal learning to catch up with FSD V14?
The competitive landscape of the intelligent driving industry has undergone significant changes in recent years, shifting from hardware specifications to advanced model development. Companies are increasingly recognizing that merely having larger models is insufficient for achieving generational advantages; instead, the integration of models, data, computing power, and chips into a continuous iterative loop is becoming crucial. This realization has prompted many automakers to invest in in-house research and development. Tesla has established a comprehensive ecosystem that spans data collection, training infrastructure, and self-developed chips, while Chinese companies like Li Auto, Xpeng, and NIO are also deepening their technological foundations. Li Auto has introduced its self-developed Mach M100 chip in its L8 and L9 models, which it views as a significant advancement in AI technology. In a recent discussion with Li Auto's autonomous driving and chip leaders, they emphasized that the industry should focus on the practical problems these investments aim to solve rather than merely the existence of in-house development. They outlined their strategies to achieve performance comparable to Tesla's Full Self-Driving (FSD) system, highlighting the importance of safety, efficiency, and comfort in user experience. As the industry moves towards higher levels of autonomy, the integration of vision and language models is seen as essential for developing systems that can handle complex, unforeseen scenarios. The executives noted that achieving higher levels of autonomy (L3 and L4) requires models that can reason and think like humans, underscoring the growing significance of language in AI systems. Overall, the conversation revealed the industry's focus on enhancing AI capabilities through innovative chip design and data utilization, aiming for a future where autonomous driving technology can meet the challenges of real-world driving conditions.
After Issuing Its First Stock Split in 2020, Tesla Took Just 2 Years to Issue Its Second Split. Could a Third Stock Split Come in 2026?
Tesla, the electric vehicle manufacturer, is facing speculation about a potential third stock split in 2026, following its previous splits in 2020 and 2022. The company, which last split its shares when prices were significantly higher—around $1,400 in 2020 and nearly $900 in 2022—currently sees its stock trading at approximately $375. Analysts suggest that a split is unlikely unless the stock price nearly triples, as historical trends indicate that splits typically occur when shares become too expensive for retail investors. While stock splits can enhance investor psychology by making shares appear more affordable and potentially attracting more retail investors, they do not fundamentally change a company's value. Research indicates that companies that split their stocks often experience average returns of over 25% in the year following the announcement. However, with the rise of fractional share investing, the necessity for splits may diminish, as higher stock prices can be perceived as a sign of strength and demand. As Tesla continues to focus on advancements in robotics, autonomous vehicles, and energy storage, analysts emphasize that these developments will be more critical to the company's long-term success than any stock split.
Serve Robotics (SERV) Expands AI-Powered Robot Delivery Into Laundry Services Through NoScrubs Deal
Serve Robotics Inc. has announced a significant expansion of its AI-powered robot delivery services to include laundry, following a deal with NoScrubs. This partnership, revealed on June 2, 2026, allows Serve Robotics to utilize its fleet of approximately 2,000 autonomous sidewalk robots to pick up and deliver laundry orders in addition to its existing food delivery services. NoScrubs, which operates in seven major metropolitan areas, provides a comprehensive laundry service that includes washing, drying, and folding clothes. The collaboration aims to optimize delivery operations by scheduling laundry pickups and returns during off-peak hours for food deliveries. Orders will be assigned to Serve Robotics based on their availability and storage requirements. This move marks Serve Robotics' entry into a new vertical, with plans to explore further opportunities in grocery, pharmacy, retail, and dry cleaning markets. Despite a 45% decline in its stock value this year, analysts view this as a potential buying opportunity, projecting a 190% increase over the next year. The company continues to focus on expanding its delivery capabilities while serving thousands of restaurants across major cities in the U.S.
Smart Hand valued at $1 billion after 5 months, achieves profit in first quarter; DeepSeek plans to double all departments.
On June 26, 2026, Wuliangye announced the removal of Zeng Zongqin from his position as chairman due to his inability to fulfill his duties. The decision was made during the company's annual shareholder meeting, where a proposal to appoint Deng Min as the new chairman was approved. Zeng's departure, effective immediately, will not affect the company's operations, as he held no shares and had no outstanding commitments. In Yantai, JD Pharmacy has established a new company, JD Pharmacy (Yantai) Co., Ltd., with a registered capital of 100,000 RMB. The company, fully owned by JD Pharmacy (Qingdao) Chain Co., Ltd., will engage in retailing pharmaceuticals and providing medical device services. SpaceX, led by Elon Musk, plans to launch a new Starlink mobile service in the U.S. and develop its own ground mobile network, aiming to compete with major carriers like Verizon, AT&T, and T-Mobile. He Xiaopeng announced on June 25 that XPeng Motors is set to expand globally, with the second-generation VLA model expected to enter international markets by 2027, coinciding with new EU regulations on autonomous driving. Meanwhile, Lingqiao Shou, a company spun off from Zhiyuan Robotics, has achieved a valuation of $1 billion within just five months of its establishment, following significant funding rounds. Beijing Tongrentang Medical and Health Investment Co. plans to raise up to HKD 671.6 million through an IPO in Hong Kong, with shares priced between HKD 5.48 and HKD 6.21, expected to begin trading on July 7. Lastly, DeepSeek announced plans to double its workforce across all departments, while Apple reported a surge in memory demand due to the rapid expansion of AI data centers, presenting challenges for the electronics industry.
General Intuition raises $320M to use video game data to train robots
General Intuition has secured $320 million in funding to enhance its innovative approach to artificial intelligence training for robotics. The company is leveraging video game clips that feature embedded action labels to accelerate the training process for AI systems. This funding will enable General Intuition to further develop its technology, which aims to improve the efficiency and effectiveness of robotic learning. By utilizing the rich data from video games, the company seeks to provide robots with a more nuanced understanding of actions and environments, ultimately advancing the field of robotics. The investment comes at a time when the demand for sophisticated AI solutions in various industries is on the rise, highlighting the potential impact of General Intuition's work in shaping the future of robotics.
Artificial Intelligence Artificial Intelligence / Cognition Design / Development Financial Investments News
ABB Robotics and Psyonic use human-generated data to advance robotic dexterity
ABB Robotics is partnering with California-based bionics firm Psyonic to enhance robotic gripping and dexterity, addressing a significant challenge in the industry. This collaboration aims to leverage real-world manipulation data derived from human prosthetic use, which could lead to a reduction in engineering time by as much as 30%. The initiative involves integrating the Psyonic Ability Hand with ABB's GoFa robotic arm, creating a more efficient and adaptable solution for various applications. This innovative approach seeks to improve the functionality of robotic systems, making them more effective in handling tasks that require precision and flexibility.
Components Design Engineering abb robotics ai robotics automation news
ON Semi tanks 20% following Synaptics deal as CEO defends core business
On Semiconductor has announced a significant expansion of its addressable market, projecting an increase of $30 billion through its pivot into physical artificial intelligence (AI). This strategic move aims to enhance the company's offerings and capitalize on the growing demand for AI technologies. The announcement comes as the company seeks to position itself at the forefront of innovation in the semiconductor industry. By integrating physical AI into its product lineup, On Semi is responding to evolving market needs and the increasing reliance on advanced technologies across various sectors. This expansion reflects the company's commitment to driving growth and maintaining competitiveness in a rapidly changing technological landscape.
How Cold Chain Operators Are Turning Energy Flexibility Into a Competitive Advantage
Cold storage facilities, known for their high energy consumption, face increasing challenges as the cost of electricity becomes more dependent on consumption timing rather than just the volume used. This shift in energy pricing creates a difficult situation for operators who have traditionally viewed electricity costs as fixed. As refrigeration systems must run continuously to maintain product integrity, the significant energy load required raises concerns about operational expenses and sustainability. The industry is now compelled to adapt to these changing dynamics, prompting a reevaluation of energy management strategies to mitigate costs and enhance efficiency.
Business Logistics automation news cold chain cold chain logistics cold storage
DEEPX and Sixfab Launch 'DEEPX AI HAT' to Drive Edge Physical AI on Raspberry Pi
A new partnership has emerged to enhance the Raspberry Pi ecosystem by providing high-performance, low-power AI acceleration. This initiative aims to eliminate the reliance on cloud services for real-time inference, particularly benefiting applications in robotics and smart automation. The collaboration has introduced a production-ready Starter Kit and software development kits (SDKs) designed to lower entry barriers for developers worldwide. By making these tools accessible, the partnership seeks to empower a broader range of innovators to integrate advanced AI capabilities into their projects, fostering growth and development within the global tech community.
Liquid AI's smallest model yet LFM2.5-230M beats models 4X its size at data extraction, can run 'anywhere'
Liquid AI, a company founded by former MIT computer scientists, has unveiled its latest AI language model, LFM2.5-230M, which is designed for efficient data extraction and local deployment on devices such as smartphones and laptops. Released today, this 230-million-parameter model is noted for its ability to run on various hardware platforms, outperforming larger models like Alibaba's Qwen3.5 and Google's Gemma 3 in specific benchmarks. Targeting developers and engineers, LFM2.5-230M operates under a dual-use commercial license, allowing free access for individuals and companies with annual revenues below $10 million, while larger enterprises must secure a paid agreement. The model distinguishes itself by utilizing the LFM2 architecture, enabling high inference speeds with a minimal memory footprint, making it suitable for edge computing. Liquid AI's launch reflects a broader industry shift towards architectural efficiency rather than sheer parameter counts, as major AI firms focus on models with hundreds of billions of parameters. The LFM2.5-230M is specifically tailored for lightweight data extraction tasks, allowing businesses to automate processes without relying on costly cloud services. In practical applications, the model has been successfully deployed in a humanoid robot, demonstrating its capability to process complex commands efficiently. Available immediately on platforms like Hugging Face, LFM2.5-230M aims to revolutionize how enterprises manage data extraction, moving away from traditional, rigid systems to more adaptable AI-driven solutions.
Technology
Automated Online Investing: How Technology Helps You Build Wealth Passively
Automated online investing is revolutionizing wealth-building strategies for individuals by streamlining the investment process. This innovative approach alleviates the burdens of manual tracking, trade timing, and emotional decision-making, allowing investors to depend on sophisticated systems that manage the majority of the work. As a result, more people are gaining access to investment opportunities, fostering a more inclusive financial landscape. This transformation, driven by advancements in technology and data analytics, is reshaping traditional investment practices and empowering individuals to grow their wealth with greater ease and efficiency.
Business Financials & Investments AI investing algorithmic investing artificial intelligence automated online investing
UCF-led virtual experience research accelerator achieves initial milestones for XR science
An international research consortium, spearheaded by the University of Central Florida (UCF), has unveiled two groundbreaking advancements in renewable energy technology. This announcement was made during a press conference held on October 15, 2023, at the UCF campus in Orlando. The consortium, which includes experts from various institutions across the globe, aims to address the urgent need for sustainable energy solutions in response to climate change and rising global energy demands. The first innovation involves a new type of solar panel that significantly increases energy conversion efficiency, making solar power more viable for widespread use. The second breakthrough focuses on an advanced energy storage system that allows for more efficient and reliable storage of renewable energy, addressing one of the key challenges in the transition to sustainable energy sources. These developments are expected to play a crucial role in reducing carbon emissions and promoting the use of clean energy. By leveraging cutting-edge research and collaboration among leading scientists and engineers, the consortium hopes to accelerate the adoption of renewable energy technologies worldwide. The project exemplifies a commitment to innovation and sustainability, aiming to contribute to a greener future for generations to come.
AI and Robotics
Why Does a Bank Need a Chief Scientist?
Prem Natarajan, formerly the head of Alexa AI at Amazon, has transitioned to the role of Chief Scientist at Capital One, a leading financial institution serving over 100 million customers. This move comes as the landscape of artificial intelligence (AI) research shifts from large tech companies to industry-specific applications, particularly in finance, where the challenges are more complex and require a nuanced understanding of customer needs and regulatory constraints. Capital One has long been recognized for its data-driven approach, having invested heavily in cloud technology to create a robust data ecosystem. This infrastructure supports innovative AI research aimed at solving real-world problems, such as real-time fraud detection and personalized customer interactions. Unlike many banks that view AI merely as a tool, Capital One is establishing a scientific community focused on developing impactful AI solutions. Natarajan emphasizes the importance of “destination-back thinking,” where the team envisions ideal customer experiences and works backward to identify necessary scientific advancements. This methodology, combined with a commitment to continuous learning and a unique cloud-first architecture, allows Capital One to tackle challenges that are often overlooked by traditional financial institutions. The bank's efforts have garnered recognition, with Capital One being ranked as a leader in AI talent and innovation, accounting for a significant portion of AI patents in the financial sector. Through partnerships with academic institutions and a focus on agentic AI systems, Capital One aims to enhance financial services for millions, positioning itself at the forefront of AI advancements in the industry.
Ai-research Agentic-ai Financial-services Tech-careers Type-sponsored Financial-technology
OpenAI's updated GPT-5.5 Instant is better at shopping, complex constraints, and understanding user intent — and it's already in the API
OpenAI has announced an update to its popular language model, GPT-5.5 Instant, which is now the default for free ChatGPT users. The upgrade, revealed on June 24, enhances the model's ability to understand user intent and adapt responses, particularly in complex scenarios like shopping and local recommendations. This update follows the model's initial release in early May 2026, which aimed to address factual inaccuracies and improve conversational quality. The latest version is being rolled out first to paid subscribers, with free users gaining access shortly thereafter. While OpenAI has not provided specific performance benchmarks, the company claims significant improvements in handling multi-part instructions and contextual awareness. This is expected to make ChatGPT more effective for everyday tasks, such as planning trips or comparing products. For developers, the updated model can be accessed through OpenAI's chat-latest API alias, which points to the latest Instant model. However, OpenAI continues to recommend the separate gpt-5.5 model for production use. The update reflects a shift towards more intuitive AI systems capable of better inferring user goals and maintaining context across interactions, marking a significant step forward in generative AI technology.
Technology
General Intuition’s $2.3B bet that video games can train AI agents for the real world
General Intuition has successfully secured $320 million in funding to enhance its artificial intelligence capabilities, leveraging extensive data derived from millions of hours of gameplay and betting action. This significant investment aims to advance the development of AI that mimics human intuition more closely. The funding round, which took place recently, underscores the growing interest in AI technologies that can interpret complex patterns and make decisions similar to human behavior. By utilizing this vast dataset, General Intuition seeks to refine its algorithms and improve the performance of its AI systems, positioning itself at the forefront of innovation in the gaming and betting industries.
AI Fundraising Robotics Startups AI training data general intuition
From Fortnite to robots: General Intuition raises $2.3B on bet that video games can train AI agents for the real world
General Intuition has successfully secured $320 million in funding to enhance its artificial intelligence capabilities, which are designed to mimic human intuition by leveraging extensive data from millions of hours of gameplay and betting actions. This significant investment aims to propel the development of AI systems that can better understand and predict human behavior in gaming contexts. The funding round, which reflects growing interest in AI applications within the gaming and betting industries, will enable General Intuition to expand its research and development efforts. The company plans to utilize this capital to refine its algorithms and improve the accuracy of its AI models, ultimately striving to create technology that resonates more closely with human decision-making processes.
Startups AI Robotics Fundraising Khosla Ventures AI training data
RoboScience launches Visics, a versatile embodied model for cross-ontology, cross-object, and cross-task applications.
On June 24, RoboScience, a company specializing in embodied intelligence, unveiled its self-developed Visics large model, introducing the innovative VLOA (Vision-Language-Object-Action) architecture. This announcement marks a significant advancement in the field, demonstrating the model's applications in real-world scenarios such as furniture assembly, dexterous grasping, and dynamic assembly lines. The current landscape of embodied intelligence lacks a universally accepted foundational representation unit, which hampers data collection, model learning, and the transfer of knowledge to new contexts. Traditionally, models have focused on replicating specific robotic movements tied to particular tasks, limiting their adaptability to new robots, objects, or environments. Founder and CEO Tian Ye highlighted three major challenges in robotic operations: poor generalization, difficulty in precise manipulation, and cumulative errors in long-range tasks. To address these issues, RoboScience has developed a new foundational representation unit from the ground up. The Visics model employs a dual-engine architecture, consisting of an embodied world model and a universal operation model, each operating independently. The embodied world model utilizes vast amounts of internet video data to learn the physical dynamics of objects, while the operation model translates object trajectories into actionable commands for robots. This layered design enhances the model's generalization capabilities across various robotic platforms and tasks. RoboScience's innovative approach also includes a high-precision simulation engine, RoboMirage, which, combined with automated video data annotation, significantly reduces data acquisition costs. The company aims to build a comprehensive dataset of over 1 terabyte of high-quality manipulation trajectories by 2026. Since its inception, RoboScience has garnered support from multiple investors and established research and production centers in major Chinese cities. The company plans to collaborate with various sectors, including retail and logistics, to standardize robotic products for industrial and commercial applications by the end of this year.
Beyond the Drone: Percepto’s New Platform Brings AI to Infrastructure Inspections
Percepto has unveiled its next-generation inspection software at the InnovateEnergy Week conference, which is currently taking place in The Woodlands, Texas. This new platform aims to enhance the capabilities of energy companies, particularly in the oil, gas, and electric utility sectors, by providing actionable data that is crucial for their operations. The launch reflects the industry's growing need for advanced technology to optimize infrastructure inspections and improve efficiency. By integrating artificial intelligence into their inspection processes, Percepto seeks to revolutionize how companies manage and analyze their energy resources, ultimately supporting their production goals.
Applications Drone News Drone News Feeds Drones in the News Energy infrastructure
New ceramic solid-state battery for military, aerospace tech survives 302°F heat
A research team from Tsinghua University in China has successfully developed a compact, all-ceramic solid-state lithium-ion battery. This innovative battery design aims to enhance safety and efficiency in energy storage solutions. The announcement was made recently, highlighting the potential of this technology to address common issues associated with traditional lithium-ion batteries, such as flammability and limited lifespan. By utilizing an all-ceramic structure, the researchers believe they can significantly improve the performance and stability of batteries, making them more suitable for various applications, including electric vehicles and portable electronics. The team's work represents a significant advancement in battery technology, driven by the growing demand for safer and more efficient energy storage options in an increasingly electrified world.
Energy
ByteDance's Doubao Crosses Production-Grade Threshold with 180 Trillion Daily Tokens
On June 23, ByteDance unveiled its latest flagship large language model, Doubao-Seed-2.1 Pro, which significantly enhances its capabilities by increasing daily token calls to unprecedented levels. This launch marks a strategic move by the tech giant to strengthen its position in the competitive AI landscape. The Doubao 2.1 Pro aims to provide more efficient and sophisticated language processing, catering to a growing demand for advanced AI solutions across various industries. By leveraging cutting-edge technology and extensive data training, ByteDance seeks to meet the evolving needs of users and businesses alike, further establishing its influence in the AI sector.
AI
NVIDIA's Halos for Robotics: A New Era for Industrial Robot Safety
Recent advancements in industrial robotics have marked a significant milestone in the integration of physical artificial intelligence. Over the past few years, the field has experienced unprecedented growth, with AI evolving beyond mere data analysis and text generation. Now, machines equipped with this technology can perceive their surroundings, make real-time decisions, and interact directly with their environment. This transformation is highlighted in a recent article discussing NVIDIA's Halos for Robotics, which emphasizes the new era of safety in industrial robots. The developments signal a shift in how robots operate, enhancing their capabilities and effectiveness in various industrial applications.
À la une IA Industrie Robotique automatisation industrielle. cobot industriel
The Ultimate Summer Sale Pairing: Steam Sale Meets GeForce NOW Discounts
This week, gamers can take advantage of significant savings during the Steam Summer Sale and enjoy discounts on GeForce NOW memberships, as part of the latest GFN Thursday event. The initiative aims to enhance the value of cloud gaming, providing users with more opportunities to save. Additionally, the popular title Dark Scrolls has been added to the expanding library of Devolver Digital games available on the platform. These promotions are designed to attract both new and existing users, making cloud gaming more accessible and affordable.
Qualcomm vs. Nvidia and drones vs. dogs
Qualcomm has made significant strides in the semiconductor industry, unveiling its ambitious data center chip roadmap during its annual investor day in New York on June 25, 2026. CEO Cristiano Amon highlighted the company's new AI accelerator platform and innovative chip architecture known as high-bandwidth compute (HBC), which aims to enhance AI processing by reducing data travel distances and energy consumption. This announcement comes amid a busy day for the tech sector, where Nvidia's CEO Jensen Huang reaffirmed the long-term demand for AI infrastructure, and Micron reported strong earnings, alleviating investor concerns about a potential "AI bubble." Qualcomm's focus on the China market is particularly noteworthy, as the country accounted for 46% of its revenue in 2025. Amon indicated that the company is designing chips tailored for Chinese customers while adhering to U.S. export controls. This strategic move aims to leverage Qualcomm's existing relationships with Chinese smartphone manufacturers to expand its data center business. Meanwhile, Nvidia's AI chips have seen a dramatic price increase in China's black market, driven by strong demand and U.S. export restrictions. The price of Nvidia's flagship DGX B300 server has surged to over 8 million yuan ($1.1 million), reflecting the ongoing challenges in accessing these sought-after technologies. In a separate development, Australian farmers are increasingly turning to drones and AI technologies for livestock management, potentially replacing traditional herding dogs. This shift highlights the evolving landscape of agricultural practices as new generations of farmers adopt innovative solutions to enhance efficiency in managing livestock.
Micron is tech's new margin king as memory crisis pushes company past Nvidia and Meta
Micron Technology announced a significant increase in its gross margin, which rose to 84.9% in its latest earnings report, up from 39% during the same period last year. This remarkable improvement reflects the company's strategic efforts to enhance operational efficiency and capitalize on growing demand for memory and storage solutions. The earnings report, released on [insert specific date], highlights Micron's robust performance in the semiconductor industry, particularly as it navigates a competitive market landscape. The surge in gross margin is attributed to a combination of cost management initiatives and a favorable pricing environment for its products. As Micron continues to innovate and expand its offerings, the company aims to sustain this momentum and further strengthen its position in the technology sector.
DexRobot Unveils Full Dexterous Hand Series and New DexTele Teleoperation System at Automate 2026
At this year's exhibition, a dedicated Humanoid Robot Pavilion highlights the increasing emphasis on AI-driven industrial automation. This event serves as a prime platform for DexRobot to showcase its latest advancements in robotic manipulation and high-fidelity data acquisition. The demonstration aims to illustrate how these technologies are not only becoming practical and affordable but also ready for real-world application. The focus on integrating AI into industrial processes underscores the growing trend of automation in various sectors, reflecting the industry's commitment to innovation and efficiency.
Digital self-defense: Cate Blanchett unveils ‘Human Consent Registry’ for AI controls
In a significant move to empower individuals regarding their personal data, a new initiative has been launched that seeks to provide users with direct control over their information amidst growing concerns about data privacy in an unregulated digital landscape. This initiative, introduced by a coalition of tech companies and privacy advocates, was unveiled at a conference held in San Francisco on October 15, 2023. The motivation behind this initiative stems from increasing public demand for transparency and security in data handling, as recent surveys indicate that consumers are increasingly wary of how their information is collected and used by corporations. By implementing a user-friendly platform, the initiative aims to allow individuals to easily manage their data preferences and consent, thereby fostering a culture of accountability among businesses. The process involves the development of a centralized digital tool that will enable users to access, modify, and delete their personal data across various online services. This tool is designed to integrate seamlessly with existing platforms, ensuring that users can maintain control without facing technical barriers. As this initiative gains momentum, it is expected to set a precedent for future data privacy regulations and encourage other organizations to adopt similar practices, ultimately leading to a more secure and user-centric digital environment.
AI and Robotics
Jalapeño, OpenAI’s first custom chip, targets gigawatt-scale data center deployment
OpenAI has introduced its inaugural custom AI accelerator, named Jalapeño, signaling a significant advancement in the company's technological capabilities. This announcement was made recently as OpenAI aims to enhance its AI models' performance and efficiency. The development of Jalapeño is part of OpenAI's broader strategy to optimize its infrastructure and support the growing demand for more powerful artificial intelligence solutions. By designing a specialized accelerator, OpenAI seeks to improve processing speeds and reduce energy consumption, ultimately allowing for more complex computations and faster training times for AI models. This initiative underscores OpenAI's commitment to innovation and its efforts to maintain a competitive edge in the rapidly evolving field of artificial intelligence.
AI and Robotics
BRINC Partnership Gives Public Safety Agencies an “Immediate Upgrade” in Incident Intelligence
BRINC, a manufacturer of drones for public safety, has formed a partnership with Nova Software Company to enhance aerial mapping and data analysis for first responders. This collaboration aims to provide public safety agencies with advanced capabilities, enabling them to utilize BRINC drones for improved incident intelligence. The integration of Nova's software will allow these agencies to transform aerial data into actionable insights, significantly upgrading their operational efficiency. This initiative underscores the growing importance of technology in emergency response, as agencies seek innovative solutions to enhance their effectiveness in critical situations. The partnership represents a strategic move to equip first responders with the tools necessary for better decision-making and situational awareness in the field.
Applications Drone News Drone News Feeds emergency response Featured – Safety and Security Fire and Police
Sunrun Surges 26% on 16-Gigawatt Virtual Power Plant Deal With Tesla and Renew Home
Sunrun's stock surged by 26% to $16.17 on June 24, 2026, following the announcement of a significant partnership with Tesla and Renew Home to create a 16-gigawatt virtual power plant. This collaboration aims to address the increasing electricity demand from data centers and artificial intelligence workloads, which Goldman Sachs projects will reach 66 gigawatts by 2027. The partnership will leverage dispatchable capacity from home battery systems and smart devices, positioning Sunrun as a key player in the energy market without the need for new infrastructure. The initiative is particularly relevant in Virginia, where the partners already have over 300 megawatts ready for deployment, expected to grow to at least 500 megawatts by 2030. Sunrun CEO Mary Powell emphasized the urgency of modernizing the grid to meet contemporary energy needs, while Tesla's Colby Hastings highlighted the existing resources in American homes as part of the solution. Despite the positive market reaction, Sunrun's stock remains down 11% year-to-date, raising questions about the sustainability of this rally. Investors are advised to monitor the company's ability to secure firm contracts with hyperscalers and the execution of their capacity plans in the coming months, as these factors will be crucial for the company's future performance.
Rough demos unlock precise robot actions, with up to fourfold real-world gains
Advancements in robotics are leading to the development of highly dexterous robots that are becoming integral to both daily life and industrial applications. These robots are capable of performing intricate tasks, such as assembling small components for smartphones and aiding surgeons during operations. However, the traditional method of training these robots to replicate delicate human movements has been labor-intensive and costly, requiring extensive data collection at precise time intervals. This challenge has prompted researchers to seek more efficient training methods to enhance the capabilities of robotic systems, ultimately aiming to reduce the time and financial burden associated with their development. As the demand for precision in various sectors grows, the evolution of robotic dexterity is expected to play a crucial role in improving efficiency and effectiveness across multiple fields.
Robotics
Air Force could spend $1.5B, get ‘Doomsday Plane’ data in T-7 engine ‘horse trade’
A source has expressed skepticism regarding a potential deal involving the Air Force, suggesting that while there may be positive aspects, taxpayers might not benefit significantly. The source emphasized the importance of the Air Force accurately defining its requirements to ensure the deal's success. This commentary comes amid ongoing discussions about military procurement strategies, highlighting the need for careful consideration of taxpayer interests in defense spending. The outcome of this deal remains contingent on the Air Force's ability to align its needs with the expectations of stakeholders.
Air Warfare AETC Air Force Boeing Business & Industry Hidden Challenges of the T-7
HelloFresh Expand Temperature-Controlled SKU Capacity
Locus Robotics has unveiled a cold-storage hardware modification that significantly enhances HelloFresh's chilled fulfillment capabilities. This upgrade allows the leading meal kit company to increase its temperature-controlled stock-keeping units (SKUs) from 100 to 500, marking a fivefold expansion. The enhancement is expected to provide greater meal variety and open new revenue streams across HelloFresh's diverse brand portfolio, including its Factor brand. The deployment of 13 Locus robots was integral to this expansion, showcasing the innovative collaboration between the two companies.
AMR and AGV Automation Systems and Shuttles Cold Chain Logistics eFulfilment Materials Handling Robotic Picking
Utilities Prepare for BVLOS While Navigating the Post-DJI Transition
Electric utility companies, early adopters of drone technology, are currently navigating a complex landscape as they prepare for the anticipated implementation of new beyond visual line of sight (BVLOS) regulations. This transition comes amid evolving government pressures and the need to adapt to a post-DJI market environment. As these utilities seek to enhance their operational efficiency and safety through drone programs, they face both challenges and opportunities in integrating advanced aerial solutions into their infrastructure management strategies. The ongoing developments highlight the critical role of drones in modern utility operations and the necessity for companies to adapt to regulatory changes and technological advancements.
Applications BVLOS DJI Drone News Drone News Feeds Energy
AI Is Designing Radio Chips That Humans Couldn’t Even Imagine
Researchers at Princeton University have made significant strides in the design of radio-frequency integrated circuits (RFICs), a critical component for advancing wireless technologies such as 5G, autonomous vehicles, and satellite communications. Utilizing reinforcement learning and inverse design techniques, the team has developed a method to create RFICs from scratch, drastically reducing design time and achieving record performance levels. This innovative approach leverages AI to navigate the complex design space of RFICs, traditionally seen as an art requiring years of expertise. By employing machine learning algorithms, the researchers can generate novel circuit layouts that outperform existing designs while minimizing the time taken for development. The project, which began after the success of AI in games like Go, aims to overcome the limitations of conventional RFIC design, which has remained largely artisanal. The researchers emphasize the need for large, shared datasets and open ecosystems to further enhance AI's capabilities in understanding electromagnetic and circuit behaviors. As the demand for advanced RFICs grows, the potential for AI-driven design to revolutionize the field is becoming increasingly apparent. The findings have attracted attention within the RF community, sparking discussions about the future of AI in circuit design and the importance of collaboration between AI researchers and chip designers to unlock new possibilities in technology.
Machine-learning Ic-design Chip-design Rf Rfic
Automation Strategy Advances with SCE
Infios, a leader in Intelligent Supply Chain Execution, is collaborating with Kellner & Kunz AG, a specialist in tools and C-parts, to enhance its automation strategy by integrating advanced robotics into its inbound logistics operations. This initiative is a continuation of their partnership, which began in 2019 when Infios implemented its Warehouse Management (WM) and Warehouse Control System (WCS) at Kellner & Kunz AG. The integration aims to streamline logistics processes and improve efficiency in supply chain management.
Automation Systems and Shuttles IT in Logistics Materials Handling Robotic Picking Storage & Racking WMS & SCM Software
Adata microSD Premier Extreme 256GB on sale for 8,289 yen, ideal for Switch 2 and smartphone storage expansion.
Amazon.co.jp is currently offering a time-limited sale on a new ultra-fast microSD card that supports the latest memory card standards. The 256GB model boasts impressive read speeds of up to 800MB per second and is available at a discounted price of 8,289 yen, reflecting a 23% reduction from its reference price. This promotion provides an opportunity for consumers to upgrade their storage solutions at a competitive price.
Chasing rumors: Car CEO's departure untrue; WeChat tests native AI assistant; Apple, Tesla supplier data leaked.
On June 23, the ChiNext Index experienced its largest decline of the year, falling over 4% during trading and closing down 3.84%, dipping below the critical 4200-point mark. This downturn followed a record high set just a day prior. The trading volume for the day reached approximately 901.65 billion yuan, a decrease of 118.9 billion yuan from the previous day. All ten of the index's top-weighted stocks saw declines, particularly those in the AI computing sector. In a separate development, Tata Electronics confirmed a significant data breach, with over 630GB of sensitive information leaked, including design and specification documents for key clients like Apple and Tesla. The company stated that it had initiated a response plan and that operations remained unaffected. Apple is reportedly conducting a thorough investigation into the incident. Meanwhile, SpaceX has entered a multi-billion dollar agreement with AI startup Reflection AI to provide computing resources, with payments set to begin in July and continue through 2029. In the robotics sector, Nvidia unveiled its "Halos for Robotics" safety system aimed at enhancing the security of physical AI applications, while Faraday Future introduced its industrial-grade robotic arm series at a robotics expo in Chicago. Additionally, Meta has paused an internal AI training program that tracked employee mouse movements due to data security concerns, and Oracle announced a workforce reduction of approximately 21,000 employees, marking a 13% decrease in its total workforce as part of a business restructuring.
Embodied AI Chip Market Heats Up as Multiple Players Race for Dominance
The embodied AI chip market is experiencing rapid growth as various companies compete for leadership in this emerging sector. As of October 2023, advancements in artificial intelligence and robotics have fueled the demand for specialized chips that enhance machine learning capabilities and improve efficiency in automated systems. Major tech firms and startups alike are investing heavily in research and development to create innovative solutions that cater to diverse applications, from autonomous vehicles to smart home devices. This surge in competition is driven by the increasing need for more sophisticated AI technologies that can process data in real-time and adapt to changing environments. As players in the market strive to differentiate their products, collaborations and partnerships are becoming common strategies to accelerate development and gain a competitive edge. The race for dominance in the embodied AI chip market is expected to intensify, with significant implications for the future of technology and automation.
AI
NatPower and Tesla Strike 25 GWh European Battery Storage Deal
NatPower has entered into a multi-year agreement with Tesla to supply and deploy over 25 gigawatt-hours of battery energy storage systems in European markets, with initial projects set for Italy and the United Kingdom. Announced on June 23, 2026, the partnership will see Tesla provide its Megapack technology, along with engineering, procurement, construction services, and energy trading optimization via its Autobidder platform. The projects, which will be owned and operated by NatPower, aim to streamline project development, financing, construction, and energy trading, facilitating large-scale battery deployment. The first phase includes five projects and is part of a larger initiative targeting over 100 GWh of storage capacity. NatPower anticipates that the full program could yield between $4 billion and $5 billion in construction value and generate over $15 billion in revenue over two decades. This agreement underscores the increasing significance of large-scale energy storage in Europe, driven by rising electricity demand, renewable energy integration, and the growth of data centers. As Europe seeks to enhance grid reliability and meet decarbonization goals, substantial storage additions will be necessary in the coming years. Tesla has established itself as a leading supplier of utility-scale battery systems, while NatPower continues to expand its role in energy infrastructure development. The storage assets from this agreement will provide essential grid balancing services and support electricity-intensive customers, including industrial facilities and data centers. NatPower CEO Fabrizio Zago emphasized the shift towards large-scale execution, while Tesla Energy Vice President Mike Snyder highlighted the integration of Tesla's capabilities to expedite battery deployments across Europe.
Chevron Inks Deal to Power Microsoft Data Center in Texas
Chevron has announced the launch of "Project Kilby," an initiative aimed at addressing the increasing energy demands associated with artificial intelligence technologies. This project comes in response to the rapid growth in energy consumption driven by AI advancements, highlighting the company's commitment to supporting the evolving energy landscape. The initiative is part of Chevron's broader strategy to innovate and adapt to the changing needs of the market, ensuring a sustainable energy supply for future technological developments. The announcement underscores the importance of balancing energy production with the rising requirements of modern technology, particularly in sectors heavily reliant on AI.
Euro credit default swap costs rise amid renewed concerns over AI.
Concerns over the valuation of AI companies have led to a deterioration in market sentiment, resulting in increased costs for credit default protection on euro-denominated bonds. A report from Deutsche Bank strategists highlights that worries about the technology sector have overshadowed investor optimism regarding progress in U.S.-Iran negotiations. According to data from S&P Global Market Intelligence, the iTraxx Europe Crossover index, which tracks euro high-yield credit default swaps, rose by 3 basis points to 250 basis points. Meanwhile, the iTraxx Europe Main index, which monitors euro investment-grade credit default swaps, increased by 1 basis point to 52 basis points.
Roundtable Forum: The Real Landscape of AI Venture Capital Beyond Consensus
In a recent roundtable discussion on the evolving landscape of artificial intelligence (AI) investment, industry leaders emphasized the importance of acting ahead of consensus to seize opportunities. The forum featured prominent figures such as Zhu Tianyu, managing partner at BlueRun Ventures, and Qin Shentao, founder and CEO of OriginFlow, who shared insights on their early investment strategies. Zhu, who joined BlueRun in 2009, highlighted his early investments in successful companies like Li Auto and Genspark, noting that he made quick decisions based on a structured understanding of global challenges rather than just project details. He expressed confidence in OriginFlow’s potential, which focuses on non-invasive neural interfaces for embodied intelligent robots, aligning with key trends in artificial general intelligence (AGI), robotics, and 3D interaction. Qin, a Tsinghua University PhD, explained that OriginFlow aims to revolutionize how intelligent systems interact with the physical world, addressing a significant gap in data collection and processing. Within just five months of operation, the company secured over 500 million RMB in funding, demonstrating strong market interest. Both leaders acknowledged the challenges of navigating the current AI investment climate, characterized by rapid funding influxes and potential market bubbles. They stressed the need for investors to discern genuine innovation from fleeting trends, emphasizing that true value lies in solving fundamental problems rather than chasing hype. As the discussion concluded, they reiterated their commitment to fostering groundbreaking advancements in AI and embodied intelligence.
Robotics needs a service framework.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
