Industry Briefing
A single destination for timely, editor-curated robotics news from around the world.
Our sun is destined to 'kick and spit' its way across the solar system when it dies
Recent research has revealed that dying stars, specifically red giants, exhibit dramatic behavior as they approach the end of their life cycle. These stars eject blobs of plasma into space, a phenomenon that is accompanied by a notable reaction known as a "kick." This discovery sheds light on the complex processes that occur during stellar death, highlighting the dynamic interactions between a star's outer layers and its core. The findings contribute to a deeper understanding of stellar evolution and the life cycles of celestial bodies. The study was conducted by a team of scientists and was published in a leading astronomical journal, emphasizing the significance of these observations in the field of astrophysics.
Stars Astronomy
Moon’s largest impact basin may hide mantle material near Artemis landing zone
A significant impact event occurred on the moon over four billion years ago, resulting from a colossal object colliding with its surface. This cataclysmic event is believed to have played a crucial role in shaping the moon's geological history and surface features. Scientists have been studying the implications of this impact to better understand the moon's evolution and its relationship with Earth. The findings contribute to ongoing research in planetary science, shedding light on the early solar system's dynamics and the processes that led to the formation of celestial bodies. The research highlights the importance of impact events in the development of planetary surfaces and offers insights into the conditions that prevailed during the moon's formative years.
Federal Funding for Autonomous Underwater Robotics Project to Inspect Floating Offshore Energy Platforms
The FORE-PAIR consortium has officially launched a project aimed at developing autonomous robotic technologies for the inspection, maintenance, and cleaning of floating offshore energy platforms, including floating wind and solar systems. This initiative is backed by approximately 10 million euros in federal funding. The project is set to enhance the efficiency and sustainability of offshore energy production, addressing the growing demand for renewable energy sources. By leveraging advanced robotics, the consortium aims to streamline operations and reduce the environmental impact associated with traditional maintenance methods. The project is expected to contribute significantly to the future of offshore energy infrastructure, promoting innovation in the sector.
funding autonomous underwater robotics
Xpanner Launches X1 Panel Lift to Automate Solar Panel Installation Processes
Xpanner Global has introduced the X1 Panel Lift system, aimed at alleviating the skilled labor shortage in the solar industry. This innovative platform, previously used for solar pile-driving, now facilitates automated lifting and replacement of solar panels using excavators. By automating repetitive material handling tasks, the X1 Panel Lift allows installation crews to focus on more critical activities such as aligning and fastening panels. The significance of the X1 Panel Lift lies in its potential to transform solar installation workflows, which have traditionally relied on large teams and complex setups. Henri Lee, co-founder and CEO of Xpanner, emphasized that this solution simplifies operations, enabling any operator to manage the system from day one. The introduction of this technology could lead to increased efficiency and reduced labor costs in utility-scale solar projects. Looking ahead, Xpanner plans to enhance the X1 Panel Lift's capabilities through software updates, allowing for the automation of additional workflows without necessitating new equipment purchases. No further timeline was disclosed at the time of publication.
Arms / Manipulators Artificial Intelligence Construction Energy / Solar / Renewables News Safety & Security
SpaceX Proposes 1 Million AI Satellites to Address Ground Data Center Constraints
On January 30, 2026, SpaceX filed with the FCC to launch up to 1 million AI compute satellites, positioning orbital data centers as a solution to the increasing demand for AI computing power. Ground data centers are facing significant challenges, with energy consumption projected to reach approximately 1,050 TWh in 2026, making them the fifth-largest electricity consumer globally. The demand for new data center capacity is outpacing the growth of power generation infrastructure, leading to a critical bottleneck in the grid system. The significance of this initiative lies in the structural constraints faced by ground data centers, including power delivery limitations, high water consumption, and local opposition to new projects. The Uptime Institute's 2026 outlook identifies power as the primary constraint on data center growth, with capacity clearing prices in the PJM grid skyrocketing to $329.17/MW, driven by data center expansion. Additionally, cooling requirements are becoming increasingly unsustainable, with facilities consuming vast amounts of water, further complicating their operational viability. Looking ahead, SpaceX's orbital AI compute initiative aims to circumvent these challenges by leveraging the advantages of space, such as continuous solar power and minimal local opposition. The first AI prototypes are expected to launch in early 2027, with operational deployments planned for 2028. No further timeline was disclosed at the time of publication.
Microsoft unveils next-generation platform "Project Solara," transitioning from GUI to AI agents.
At the Microsoft Build 2026 conference held in June, the tech giant unveiled "Project Solara," a groundbreaking platform designed to prioritize AI agents over traditional graphical user interfaces and mobile applications. This innovative system facilitates collaboration between cloud-based AI agents and edge devices, enabling a seamless user interface that transcends hardware limitations. The announcement included an overview of two conceptual models, illustrating a new vision for computing in the age of artificial intelligence. As Microsoft explores this "AI agent-first" approach, it raises questions about the future of user interaction and the potential transformations in technology.
Microsoft announces Android-based AI agent platform "Solara" and showcases Snapdragon-powered badge device.
At the recent Build 2026 conference, Microsoft unveiled a new platform called Project Solara, designed specifically for executing AI agents. Unlike traditional operating systems, this platform is based on AOSP (Android Open Source Project). In collaboration with Qualcomm, Microsoft introduced a device resembling an employee badge, as well as a stationary device developed in partnership with MediaTek. The company has initiated pilot programs with major enterprises to test these innovations.
GameChange Solar Partners with Raptor Maps to Deliver First Integrated Solar Tracker Monitoring + Robotic Inspection System
GeniusVision and Raptor Maps have announced a strategic integration aimed at enhancing the efficiency of solar asset management. This collaboration, revealed in October 2023, seeks to significantly reduce operational costs while simultaneously improving the long-term performance of solar energy systems. By combining their advanced technologies, the two companies aim to provide solar operators with more comprehensive data analytics and insights, enabling better decision-making and optimized asset performance. The integration is expected to streamline operations, making it easier for solar energy providers to monitor and manage their assets effectively. This initiative reflects a growing trend in the renewable energy sector, where innovative partnerships are increasingly seen as essential for driving down costs and maximizing the potential of solar energy.
NASA Astronaut Captures Stunning Glacial Flow in the Himalayas from Space
NASA astronaut Jessica Meir captured a remarkable image of glaciers flowing down the northern slopes of the Himalayas from the International Space Station. This breathtaking view highlights the vastness of the mountain range, which separates Nepal from China's Tibetan Plateau and features over 110 peaks exceeding 24,000 feet in elevation. The Himalayas, spanning five countries and approximately 1,500 miles wide, provide a unique perspective on glacial movement that is not visible from the ground. This imagery underscores the significance of space in enhancing our understanding of climate change, particularly as rising temperatures impact glacial dynamics and sea levels. Researchers can utilize this data to better comprehend how glaciers melt and move, which is crucial for preparing to protect our planet and its ecosystems. No further timeline was disclosed at the time of publication.
Earth Astronomy Solar System
Waymo to turn retired robotaxi batteries into solar power storage systems
Waymo is repurposing the batteries from its autonomous vehicles to support energy storage solutions. This innovative approach, announced recently, aims to enhance sustainability by utilizing the batteries for grid storage, thereby contributing to renewable energy efforts. The initiative comes as part of Waymo's broader commitment to environmental responsibility and efficient resource management. By integrating these batteries into energy systems, the company hopes to extend their lifecycle and reduce waste, aligning with growing demands for sustainable practices in the tech industry. This development not only underscores Waymo's leadership in autonomous technology but also highlights its proactive stance in addressing climate change challenges.
A rainbow patchwork quilt shows agriculture from space | Space photo of the day for June 4, 2026
A vibrant patchwork of colors now blankets South Africa, as revealed in a new composite image produced from data collected by NASA's latest Earth-observing mission. This innovative imagery showcases the diverse landscapes and ecosystems of the region, highlighting the advancements in satellite technology and Earth observation capabilities. The image serves not only as a stunning visual representation but also underscores the importance of monitoring environmental changes and natural resources. By utilizing cutting-edge technology, NASA aims to enhance our understanding of the Earth's systems and promote informed decision-making regarding environmental conservation and management.
Earth Astronomy Solar System
Microsoft reboots computing with Solara OS built for agent-first device ecosystem
Microsoft is positioning itself for a transformative shift in technology, focusing on the development of advanced artificial intelligence systems. The tech giant announced its strategic initiatives during a recent event held in Redmond, Washington, where executives outlined plans to integrate AI capabilities across its product offerings. This move is driven by the increasing demand for smarter, more efficient tools that can enhance productivity and streamline workflows for businesses and consumers alike. By leveraging its existing cloud infrastructure and AI research, Microsoft aims to create innovative solutions that address evolving market needs. The company is investing heavily in research and development, collaborating with industry leaders and academic institutions to push the boundaries of what AI can achieve. As Microsoft embarks on this ambitious journey, it seeks to redefine user experiences and establish itself as a leader in the next generation of technology.
Scientists want to send a roly-poly robot filled with 'dandelion drones' to investigate hidden tunnels on Mars
Engineers are exploring the innovative approach of biomimicry to design the next generation of robots intended for Mars exploration. This trend, gaining momentum in recent months, aims to enhance the efficiency and adaptability of robotic systems in the challenging Martian environment. By studying and emulating the survival strategies of various organisms on Earth, researchers believe they can develop robots that are better equipped to navigate the planet's rugged terrain and extreme conditions. The initiative reflects a growing recognition of nature's solutions as a source of inspiration for engineering challenges in space exploration. As the timeline for future Mars missions approaches, the integration of biomimetic principles could play a crucial role in advancing robotic technology, ultimately aiding in the quest for knowledge about the red planet.
Mars Astronomy Solar System
NASA's Curiosity Rover Reveals Evidence of Ancient Sandstorms on Mars
NASA's Curiosity rover has discovered signs of ancient sandstorms on Mars, indicating that the planet's environment was vastly different billions of years ago. Researchers believe that ancient Mars had a thicker atmosphere, flowing rivers, and large lakes, contrasting sharply with its current barren landscape. The rover's observations, particularly in a region called 'Jawbone Canyon,' show the aftermath of a significant sandstorm that created rippled rock formations from intense winds. This discovery is crucial as it enhances our understanding of Mars' geological history and the planet's potential to have supported life. The findings were detailed in a study published in the journal Geology, highlighting the importance of the Curiosity rover's ongoing mission. The image captured in 2024 serves as a reminder of the long history of Mars exploration, which began with NASA's Viking 1 lander 50 years ago, marking a significant milestone in planetary science. Looking ahead, researchers will continue to analyze data from Curiosity and other rovers like Perseverance to further explore Mars' ancient climate and geological processes. No further timeline was disclosed at the time of publication.
Mars Astronomy Solar System
A SpaceX rocket will slam into the moon this August. Will we be able to see it?
A spent upper stage of a SpaceX Falcon 9 rocket is expected to collide with the moon in August, raising questions among experts about the visibility of the event from Earth. The impact, resulting from the upper stage's trajectory, highlights the growing concern over space debris and its potential effects on celestial bodies. While the exact timing of the crash is anticipated for later this summer, scientists are still assessing whether observers on Earth will be able to witness the event. The situation underscores the increasing frequency of space missions and the need for monitoring the remnants of these launches as they travel through space.
The moon Astronomy Solar System
How Japanese scientists sent a real-life Transformer to the moon
In 2024, a groundbreaking autonomous rolling rover demonstrated its innovative design by transforming from a sphere into a robot during a successful exploration of the moon's surface. This mission marks a significant advancement in lunar exploration technology, showcasing the rover's ability to navigate diverse terrains effectively. The development of such versatile rovers aims to enhance our understanding of the moon's environment and potentially pave the way for future manned missions. The exploration was conducted as part of ongoing efforts to gather data that could inform scientific research and exploration strategies.
The moon Astronomy Solar System
Artemis moon base will cover 'hundreds of square miles' with hopping drones and new lunar rovers, NASA says
NASA has announced ambitious plans for a moon base that will span hundreds of square miles, with the potential use of scout drones to monitor its perimeter. To kickstart this initiative, the agency has awarded contracts totaling $1 billion. This funding aims to facilitate the development and construction of the lunar facility, which is part of NASA's broader strategy to establish a sustainable human presence on the Moon. The contracts were awarded recently, marking a significant step forward in lunar exploration efforts. The project is expected to enhance scientific research and pave the way for future missions to Mars and beyond.
The moon Astronomy Solar System
LG Energy to Supply Batteries for Google's Largest Solar and Storage Project
LG Energy has been confirmed to supply batteries for Google's largest solar and energy storage project, marking a significant expansion in energy infrastructure related to the rising power demands of AI data centers. This project, known as the Steel River Energy Center, is a collaboration between Google and Cypress Creek Energy in Arkansas. The initial phase of the project will feature 1.6 gigawatts (GW) of solar power generation capacity and approximately 2 gigawatt-hours (GWh) of battery storage, with plans to expand to 2.5 GW of solar and 2.9 GWh of storage by 2029. LG Energy is expected to provide its JF2 DC Link system, utilizing lithium iron phosphate battery technology, with the order valued at several hundred billion Korean won. As the demand for renewable energy solutions grows, this partnership highlights the increasing importance of energy storage systems in supporting sustainable infrastructure. No further timeline was disclosed at the time of publication.
Sun erupts with 3 colossal solar flares in less than 24 hours, boosting chances for northern lights
A series of significant solar flares has caused widespread radio blackouts across Earth and could lead to spectacular displays of northern lights as solar storms approach. The flares, which occurred recently, have raised concerns among scientists and meteorologists about their potential impact on communication systems and satellite operations. Experts suggest that the resulting geomagnetic activity may enhance auroras, particularly in regions closer to the poles. As these solar storms travel towards Earth, observers are encouraged to look out for the vibrant light displays in the night sky, especially in areas where such phenomena are typically visible. The events highlight the ongoing influence of solar activity on our planet's atmosphere and technology.
Auroras Stargazing
SpaceX Unveils AI1 Satellite Specs for Starmind Constellation with Key Thermal Challenges
SpaceX has introduced the AI1 satellite, the inaugural component of its Starmind constellation, which stands 20 meters tall and has a wingspan of 70 meters. This orbital compute node is designed to deliver computing power equivalent to one NVIDIA GB300 server rack, utilizing a unique cooling system with deployable liquid radiators. The satellite's specifications were revealed during a presentation on June 8, 2026, ahead of SpaceX's IPO. The significance of the AI1 satellite lies in its role as a compute platform rather than a traditional satellite, focusing on running AI inference workloads. The satellite's cooling system, which is critical for its operation in the vacuum of space, is designed to reject heat through infrared radiation. However, independent engineers have raised concerns about the feasibility of the thermal and mass claims made by SpaceX, suggesting that the cooling requirements may exceed practical limits. Looking ahead, SpaceX plans to launch two AI1 prototypes in early 2027, with full-scale production expected to commence later that year at its Gigasat facility in Bastrop, Texas. The ongoing debate regarding the satellite's thermal management capabilities will be crucial to monitor as the project progresses, with no further timeline disclosed at the time of publication.
Starmind's Satellite Technology Achieves 880 Billion Liters in Annual Water Savings
Starmind has announced that its satellite technology can save approximately 880 billion liters of cooling water annually at full scale. This figure is equivalent to the annual household water use of around 6.5 million Americans. The technology operates by utilizing a closed-loop liquid cooling system that eliminates the need for water during its operational life, contrasting sharply with traditional ground data centers that consume vast amounts of water for cooling. The significance of this achievement lies in the growing water consumption crisis faced by data centers, particularly as AI expansion drives demand. In 2025, U.S. data centers consumed nearly one trillion liters of water, highlighting the urgent need for sustainable solutions. Starmind's approach not only addresses direct water usage but also avoids indirect water consumption associated with electricity generation, marking a substantial shift in how computing can be conducted in a resource-efficient manner. Looking ahead, Starmind's deployment strategy includes a projected buildout of 100 GW of orbital compute per year, which could displace an additional 735 billion liters of ground water demand annually. The first tranche of 10,000 satellites is already operational, offsetting approximately 8.8 billion liters of water per year. No further timeline was disclosed at the time of publication.
Blattner awards Built Robotics $75M contract for physical AI to help meet energy demand
Blattner has announced an expansion of its partnership with Built Robotics, awarding the company a substantial $75 million contract aimed at enhancing autonomous systems for solar construction projects. This collaboration is part of Blattner's strategy to address the growing energy demand by integrating advanced physical AI technologies into their operations. The partnership underscores the increasing reliance on automation in the renewable energy sector, particularly in solar energy development. By leveraging Built Robotics' expertise, Blattner aims to improve efficiency and scalability in its construction processes, ultimately contributing to a more sustainable energy future.
Artificial Intelligence Construction Energy / Solar / Renewables Mobility / Navigation News Self-Driving Vehicles
SpaceX's Starmind Plans 1 Million AI Satellites Amid Collision Risks
SpaceX has announced its ambitious Starmind project, which aims to deploy 1 million AI satellites in orbits between 500 and 2,000 km. This initiative, confirmed by Elon Musk on June 23, 2026, follows a merger with xAI, valuing the combined entity at $1.25 trillion. The satellites will function as orbital data centers, processing AI workloads powered by solar arrays and linked by optical lasers. The significance of Starmind lies in its potential to add 100 gigawatts of AI compute capacity annually, contingent on the successful operation of the Starship launch system. However, the project raises concerns regarding space debris, as the current orbital environment is already congested, with a 20% increase in collision risk reported since 2024. The European Space Agency has highlighted that the density of debris in low Earth orbit is now comparable to that of active satellites, complicating the operational landscape for new entrants like Starmind. Looking ahead, the first operational orbital AI deployments are targeted for 2028, with test launches expected in early 2027. However, the project faces scrutiny regarding its impact on space debris, as even a 1% failure rate could significantly increase the number of uncontrollable objects in orbit, exacerbating existing risks. No further timeline was disclosed at the time of publication.
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
New tech keeps power grids stable as data centers put more strain on electricity
Researchers at Sandia National Laboratories have unveiled a groundbreaking software platform designed to enhance the management of distributed energy resources. This innovative tool aims to optimize the integration of renewable energy sources into existing power grids, addressing the growing demand for sustainable energy solutions. The announcement was made on October 10, 2023, during a technology showcase at the laboratory's facilities in Albuquerque, New Mexico. The motivation behind this development stems from the increasing need for efficient energy management systems that can accommodate the variable nature of renewable energy sources, such as solar and wind. By utilizing advanced algorithms and real-time data analytics, the platform enables utilities and energy providers to better predict energy supply and demand, ultimately leading to a more reliable and resilient power infrastructure. The software operates by aggregating data from various energy sources and employing machine learning techniques to enhance decision-making processes. This allows for improved coordination among energy producers, consumers, and grid operators, facilitating a smoother transition to a more sustainable energy landscape. As the world moves towards cleaner energy solutions, this platform represents a significant step forward in harnessing the potential of distributed energy resources.
AI and Robotics
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
Is Tesla, Inc. (TSLA) among the Top 10 Stocks That Members of Congress Own?
Tesla, Inc. has emerged as one of the top 10 stocks owned by members of Congress, with 123 hedge fund holders reported as of the first quarter of 2026. On June 5, analysts from Erste Group upgraded Tesla’s stock rating from Sell to Hold, citing expectations for increased sales and profits this year driven by new product launches and improved operational performance. Despite concerns over its elevated valuation, the firm noted strengthening sales trends and improved operating margins, indicating favorable business fundamentals. On the same day, JPMorgan also upgraded Tesla's rating from Underweight to Neutral, significantly raising its price target from $145 to $475. The investment bank emphasized Tesla's leadership in physical artificial intelligence and its competitive advantages, including large-scale manufacturing, vertical integration, and rapid technological advancements. JPMorgan anticipates a substantial earnings growth beginning in 2028, with annual growth potentially exceeding 50% through 2030 as new business segments develop. Founded in 2003 and headquartered in Austin, Texas, Tesla is a prominent player in the automotive and clean energy sectors, specializing in electric vehicles, battery storage systems, and solar energy products. While acknowledging Tesla's investment potential, some analysts suggest that other AI stocks may offer greater upside with lower risk.
Why a merger with SpaceX could be bad for Tesla shareholders
Elon Musk is reportedly considering a merger between Tesla and SpaceX as the latter prepares to go public, raising concerns among Tesla shareholders. Internal discussions suggest that a merger could eventually occur, driven by the potential for synergies between the two companies, which have collaborated on projects like the Terafab chip plant and orbital data centers. Analysts, including Wedbush's Dan Ives, speculate that Musk aims to integrate technologies from both firms within a growing AI ecosystem. However, the merger's implications for Tesla shareholders are complex. Musk holds significant control over SpaceX through special voting shares, which could allow him to negotiate terms favoring his interests. While Tesla shareholders would retain voting rights on any merger, their ability to influence the outcome may depend on their desire for a stake in SpaceX. Experts warn that any merger would likely be structured as a stock deal, which could complicate matters given Musk's history of self-dealing in previous mergers, such as the controversial acquisition of SolarCity and the recent buyout of Twitter by his AI firm, xAI. Despite these concerns, some investors believe a merger could streamline Musk's focus and resources, potentially benefiting Tesla in the long run.
Startup Wants to Run AI Inference From Space
The rapid growth of large language models is driving a global surge in energy demand for data centers, prompting operators to seek alternative power sources. Among them is Orbital Inc., a Los Angeles-based startup that recently emerged from stealth mode to announce plans for space-based data centers. Backed by venture capital firm Andreessen Horowitz, Orbital aims to utilize solar energy from a constellation of small satellites in low Earth orbit to power AI inference workloads, such as chatbots. Orbital's founder and CEO, Euwyn Poon, emphasizes the limitations of terrestrial energy sources, stating, “There simply isn’t enough capacity here [on Earth], and the only way is up.” The company envisions a network of up to 10,000 satellites, each equipped with GPU server racks powered by solar panels. The first test of this concept is scheduled for 2027, with a prototype satellite launch aboard a SpaceX Falcon 9 rocket. While Orbital's approach aims to reduce launch costs and improve efficiency, it faces significant engineering challenges, including radiation effects on GPUs, thermal management in space, and maintenance difficulties. Experts like Dr. Amit Verma from Texas A&M University caution that the operational feasibility of such systems will depend on the specific applications they support. Despite these hurdles, Orbital plans to finalize its satellite designs by 2026 and establish a manufacturing facility by 2028, with the goal of tapping into major AI firms as customers. Poon remains optimistic about overcoming technical challenges, asserting that their engineering efforts will pave the way for the future of space-based data processing.
Data-center Space Ai InferencingRobotics needs a service framework.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
