Industry Briefing
A single destination for timely, editor-curated robotics news from around the world.
Milestone: Ascend 910C Completes Full-Parameter Post-Training of 1.6 Trillion Parameter Model, Domestic AI Computing Crosses Key Threshold
Shenzhen Hetao College, in partnership with Harbin Institute of Technology (Shenzhen), the Shenzhen Big Data Research Institute, and Huawei, has announced a significant advancement in domestic artificial intelligence computing. The collaborative effort culminated in the successful completion of a full-stack AI computing platform, marking a pivotal moment for the region's technological landscape. This achievement, revealed on October 15, 2023, in Shenzhen, aims to enhance the capabilities of AI applications across various industries. The initiative is driven by the growing demand for advanced computing solutions and the need to bolster China's position in the global AI arena. By integrating expertise from academia and industry, the consortium has developed a robust system designed to support complex AI tasks, thereby fostering innovation and economic growth in the region.
AI
CES 2026: limited-edition gaming tablet blends AI computing with Kojima Productions design
At CES 2026, Asus' gaming brand Republic of Gamers (ROG) announced a collaboration with Japanese game studio Kojima Productions to introduce a limited-edition version of its Flow Z13 2-in-1 gaming tablet. This partnership represents a unique intersection of gaming hardware and innovative game design, as the ROG Flow Z13-KJP is inspired by Kojima Productions’ Ludens concept. The collaboration aims to enhance the gaming experience by merging cutting-edge technology with the creative vision of one of the industry's most renowned developers.
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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.
SpaceX Launches Starmind Project for 1 Million AI Satellites by 2028
SpaceX has officially named its orbital AI infrastructure project 'Starmind,' which aims to deploy a constellation of up to 1 million satellites. This initiative, confirmed by Elon Musk on June 22, 2026, will enable AI inference directly in space, utilizing solar energy rather than terrestrial power sources. The first satellite, designated AI1, was unveiled on June 8, 2026, and is designed to operate in sun-synchronous orbits. The significance of Starmind lies in its potential to overcome the limitations faced by ground-based data centers, such as land, power, and water constraints. By running AI computations in orbit, Starmind can provide a more efficient solution to the growing demand for AI computing power. The project leverages the existing Starlink infrastructure for data transmission, distinguishing its function from Starlink's internet relay capabilities. Looking ahead, SpaceX plans to begin hardware deployment with the AI1 satellite, while full-scale production and deployment of the satellite constellation are targeted for 2028. As of now, no Starmind satellites have been launched, and further engineering challenges remain to be addressed, particularly regarding the scalability of the satellite design.
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.
Microsoft announces "Surface Laptop Ultra" featuring NVIDIA's new RTX Spark chip for local execution of large AI models.
Microsoft has unveiled its latest high-performance laptop, the Surface Laptop Ultra, which features NVIDIA's new Arm processor, the RTX Spark. This innovative device is designed to deliver powerful AI computing capabilities, enabling users to run large AI models in local environments. The announcement highlights Microsoft's commitment to advancing technology that enhances productivity and performance for users seeking cutting-edge solutions.
Microsoft announces "Surface Laptop Ultra," designed with NVIDIA, enabling local execution of AI models.
Microsoft has unveiled its latest notebook, the Surface Laptop Ultra, marking a significant advancement in its product line. This new device is the first Surface model to feature the RTX Spark system-on-chip (SoC), which was co-designed with NVIDIA. The Surface Laptop Ultra boasts an impressive AI computing performance of 1 petaflop, allowing it to handle complex tasks efficiently. It is equipped with up to 128GB of unified memory, enabling the execution of models with 120 billion parameters locally. The highly anticipated laptop is set to be released in the fall of 2026, reflecting Microsoft's commitment to integrating cutting-edge technology into its devices to meet the growing demands of AI applications.
NVIDIA Launches Space Computing, Rocketing AI Into Orbit
NVIDIA has unveiled its latest accelerated computing platforms, marking a significant advancement in space innovation. This announcement, made today, highlights the integration of AI computing capabilities into orbital data centers (ODCs), enhancing geospatial intelligence and facilitating autonomous operations in space. The company's efforts aim to revolutionize how data is processed and utilized in the space sector, leveraging advanced technology to improve efficiency and effectiveness in various space-related applications. By harnessing the power of AI, NVIDIA is poised to transform the landscape of space exploration and operations, paving the way for new possibilities in the industry.
Starmind's Orbital Compute vs. Terrestrial Data Centers: Analyzing Resource Advantages
Starmind's orbital compute technology presents a significant advantage over traditional ground-based data centers by eliminating constraints related to land, water, and grid permitting. While terrestrial data centers are currently cheaper and faster to construct, with U.S. data center spending reaching $85.3 billion in 2026, Starmind's approach focuses on addressing the growing resource limitations faced by hyperscale facilities. The significance of Starmind's technology lies in its ability to sidestep the increasing challenges of land and water usage. For instance, a 100 MW data center can consume approximately 530,000 gallons of water daily for cooling, while Starmind's AI1 utilizes deployable liquid radiators that require no water. This structural advantage could resonate with investors as the demand for AI computing continues to escalate, potentially leading to annual water withdrawals of up to 1.7 trillion gallons by 2027. Looking ahead, Starmind's next milestones include the launch of AI1 prototypes scheduled for early 2027. However, the technology's claims regarding cooling efficiency and operational reliability remain unverified until real flight data is available. As the industry evolves, the competition between orbital and terrestrial solutions will become increasingly relevant, particularly in the context of resource management and sustainability.
The Price of a Kilowatt-Hour Is Quietly Deciding Where AI Data Centers Are Built
Zhejiang Province has introduced a new time-of-use electricity pricing policy that is significantly influencing the strategic decisions regarding the placement of AI computing centers and energy storage investments throughout China. This initiative aims to optimize energy consumption by encouraging usage during off-peak hours, thereby reducing costs for both consumers and businesses. As a result, companies are reevaluating their operational locations to take advantage of lower electricity rates, which could lead to a shift in the development of technology infrastructure within the region. The policy reflects a broader trend in the energy sector, where cost differentials are becoming a critical factor in investment decisions, particularly in the rapidly growing fields of artificial intelligence and energy storage. By incentivizing off-peak energy use, Zhejiang is positioning itself as a competitive hub for technology and innovation, potentially reshaping the landscape of energy consumption and technological development across the country.
Industry Energy
AI’s endless chip appetite
In a recent discussion on the evolving landscape of artificial intelligence, industry leaders highlighted the intense competition for AI computing resources and the challenges that come with it. Mark Zuckerberg, co-founder of Meta, has returned to coding, signaling a renewed focus on technological innovation within his company. Meanwhile, Yat Siu, CEO of Animoca, offered insights into the future of blockchain technology and its potential to revolutionize digital agents. This exchange of ideas took place during a tech conference held in San Francisco in October 2023, where experts gathered to explore the intersection of AI and blockchain. The motivation behind these discussions stems from the growing demand for advanced computing capabilities to support AI development and the need for innovative solutions in the rapidly changing tech environment. The event featured a series of panels and workshops, allowing participants to share their perspectives and strategies for navigating the complexities of AI and blockchain integration.
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Booster Robotics Launches Booster T2 Humanoid Robot with NVIDIA Thor Computing Power
Booster Robotics has introduced the Booster T2, a humanoid robot platform aimed at real-world applications and embodied AI research. The T2 Pro version utilizes NVIDIA’s Thor chip, delivering up to 2,070 TFLOPS for real-time perception and control. The robot is designed for tasks requiring mobility and manipulation, showcasing advanced capabilities such as walking, dynamic balance, and athletic movements. The significance of the Booster T2 lies in its integration of cutting-edge technology and open development. With features like whole-body coordination and onboard AI computing, it supports a wide range of applications in robotics. The introduction of Booster Studio, an open software platform, further enhances its utility by allowing developers to simulate and deploy AI models effectively. Looking ahead, the Booster T2 is positioned to advance research in embodied AI and robotics. Its robust design, including 31 degrees of freedom and multiple hardware configurations, makes it suitable for various manipulation tasks. No further timeline was disclosed at the time of publication.
AI and Robotics
NVIDIA Announces Halos for Robotics, the Industry’s First Full-Stack Safety System for Physical AI
NVIDIA has unveiled NVIDIA Halos for Robotics, marking a significant advancement as the first comprehensive safety system designed specifically for robotics and physical AI. This innovative system integrates AI computing capabilities with safety measures, aiming to enhance the operational reliability of robotic systems. The announcement was made today, reflecting NVIDIA's commitment to advancing technology in the robotics sector. By providing a unified solution, NVIDIA Halos seeks to address the growing need for safe and efficient robotic applications across various industries. This development is expected to facilitate the deployment of robotics in environments that require stringent safety protocols, thereby expanding the potential for AI-driven automation.
Haier's Thunderobot Launches 10 AI Workstations Powered by AMD Across Tower, Mini, and Mobile Lines
Haier's Thunderobot has introduced a new line of 10 AMD-powered AI workstations, which include tower, mini PC, and mobile configurations. This launch is strategically timed to meet the growing demand for local AI computing solutions in the current agent-era. By leveraging advanced AMD technology, Thunderobot aims to enhance productivity and efficiency for users who require robust AI capabilities in various settings. The workstations are designed to cater to a diverse range of applications, ensuring that both businesses and individual users can benefit from improved performance and versatility in their computing tasks.
Newsflash
Neutralizing the Gigascale Problem: How to Solve the Physical Power Paradox of Extreme AI Training Loads
As the demand for AI workloads escalates, the data center industry is confronting significant challenges related to power stability. At Data Center World 2026 in Washington, D.C., Ampace and Eaton highlighted these issues during their session titled "Powering Giga-scale AI." They discussed how modern AI computing clusters, which rely on extensive GPU setups, create abrupt and high-frequency power fluctuations that can destabilize local grids. Traditional backup systems, such as diesel generators, struggle to respond to these rapid changes, leading to costly infrastructure oversizing. To address this "power paradox," Ampace is introducing its semi-solid-state battery technology, which acts as a high-speed stabilizer for power spikes, thereby enhancing the reliability of AI infrastructure. This innovation is designed to work in tandem with Eaton's advanced UPS systems, which prioritize rapid load responsiveness. By transforming energy storage from a passive backup into an active component, the collaboration aims to ensure continuous AI operations while minimizing the risk of grid stress. Ampace's approach not only enhances safety by reducing the risk of thermal runaway but also optimizes the total cost of ownership for AI data centers by allowing operators to right-size their infrastructure. As AI technology continues to evolve, Ampace is committed to developing solutions that align with future grid requirements and ensure the resilience of AI systems.
Batteries Power-electronics Data-centers Energy-storage Ai-infrastructure
NVIDIA and CoreWeave Strengthen Collaboration to Accelerate Buildout of AI Factories
NVIDIA and CoreWeave, Inc. have announced an expansion of their partnership aimed at accelerating the development of over 5 gigawatts of AI factories by 2030. This collaboration, which builds on their existing relationship, is designed to enhance the capabilities and infrastructure necessary for advancing artificial intelligence technologies. The announcement was made today, highlighting both companies' commitment to driving innovation in the AI sector. The strategic move is expected to significantly contribute to the growing demand for AI computing power, positioning CoreWeave as a key player in the industry.
Meta Cloud Business; NASA Lunar Lander Contracts | Stock Movers
Shares of several space companies, including FireFly Aerospace, Intuitive Machines, and Voyager Technologies, experienced significant movement following NASA's announcement that it has selected these firms to send robotic landers to the moon. This initiative is part of NASA's broader goal to establish a lunar base by the end of the decade. The agency awarded contracts to Astrobotic Technology Inc., Firefly Aerospace Inc., and Intuitive Machines Inc. for this lunar mission. In the consumer goods sector, General Mills saw its stock rise after reporting fourth-quarter profits that surpassed Wall Street expectations, driven by increased pricing strategies. Meanwhile, Meta Platforms Inc. gained traction on the stock market amid reports that the company is planning to launch a cloud infrastructure business aimed at providing access to AI computing power and models. Additionally, Meta is exploring the possibility of offering access to its "raw" computing capacity, as indicated by sources familiar with the company's plans.
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The Orbital Data Center Hype Machine Is Already in Orbit
At the World Economic Forum in Davos this January, SpaceX founder Elon Musk announced plans to establish orbital data centers in space, predicting that they will become the most cost-effective solution for artificial intelligence (AI) within two to three years. Following this declaration, SpaceX submitted an application to the Federal Communications Commission for a constellation of up to 1 million satellites in low Earth orbit, aimed at supporting this ambitious project. However, experts caution that the logistics of deploying such a vast number of satellites are daunting. Currently, there are approximately 14,500 active satellites in orbit, with SpaceX's Starlink making up two-thirds of that total. To launch 1 million satellites, SpaceX would need to conduct over 16,000 dedicated launches, a feat that could take decades given current launch capacities. Challenges also extend to the technical feasibility of cooling advanced computing hardware in space, as highlighted by the difficulties faced by startups like Starcloud, which has struggled to operate even a single GPU in orbit. Concerns have been raised about the potential for increased space debris and the impact on astronomical observations. Despite these hurdles, analysts suggest that the push for orbital data centers is driven by the growing demand for AI computing power and the need for energy-efficient solutions. While Musk's timelines may be optimistic, industry experts believe that the concept is gaining traction, with major players beginning to invest in the necessary infrastructure to explore the viability of space-based data centers.
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SpaceX's valuation exceeds $2.1 trillion; Musk's wealth is seven times Buffett's; FIFA labubu sales surge 30 times.
On June 12, 2026, SpaceX made headlines by completing its initial public offering (IPO) on the Nasdaq, marking the largest IPO in history with a valuation of $1.77 trillion. The stock opened at $150 and surged by over 30% during trading, closing at $160.99, which pushed the company's market capitalization to $2.1 trillion. This surge significantly increased CEO Elon Musk's net worth to approximately $1.05 trillion, making him the world's first billionaire with a net worth exceeding $1 trillion. The IPO's success reflects investor confidence in SpaceX's growth potential, particularly in light of its ambitious Terafab project. In a separate development, Kimi announced the launch of the world's first AI-native credit card, which allows users to convert their spending into AI computing power. This initiative, revealed on the same day, is a collaboration with a major state-owned bank and aims to innovate the financial landscape by integrating AI services into credit card benefits. Additionally, SK Hynix reported a fire incident at its facility in Cheongju, South Korea, which was the second fire this month. Fortunately, there were no injuries or gas leaks, and the situation was quickly controlled. These events highlight significant advancements in technology and finance while also addressing operational challenges faced by major companies.
Comprehensive Performance Upgrade: AGIBOT G2 will Fully Integrate NVIDIA Jetson Thor
AGIBOT has unveiled its next-generation robot, the AGIBOT G2, which will feature NVIDIA's Jetson Thor as its core domain controller. This integration represents a significant leap in robotic performance, boasting a 7.5 times increase in AI computing power along with improved real-time processing and task generalization capabilities. The upgrade is designed to position the AGIBOT G2 as a standard in embodied intelligence, responding to the rising demand for intelligent robots across various sectors, including industrial automation and smart logistics.
Robotics Artificial Intelligence Technology Automation Embedded Systems
New Quantum Hermite Transform Algorithm Enhances AI and Scientific Computing Potential
Researchers from the U.S. Department of Energy’s Brookhaven National Laboratory, Northeastern University, Google Quantum AI, and the University of Texas at Austin have introduced a new quantum computing algorithm called the quantum Hermite transform (QHT). This algorithm aims to broaden the scope of problems that future quantum computers can address, particularly in artificial intelligence and scientific simulations. The significance of the quantum Hermite transform lies in its potential to improve data processing and simulation capabilities of quantum computers. By introducing a new computational building block, the QHT could lead to more efficient quantum algorithms in various fields, including materials science and energy research. The findings were presented at the 58th Annual ACM Symposium on Theory of Computing in Salt Lake City. Looking ahead, the researchers emphasize that expanding the library of reusable quantum primitives like the QHT will facilitate the development of innovative quantum algorithms. This advancement could provide exponential speed advantages over classical methods, marking a pivotal step in the evolution of quantum computing applications. No further timeline was disclosed at the time of publication.
AI and Robotics
Bentley prices drop to 270,000; second-hand luxury fuel car prices plummet; Cambrian loses 70 billion in market value in a
OpenAI has reportedly achieved a significant technological breakthrough, successfully reducing the operational costs of its AI model inference by over 50% through a series of system optimizations. This development was disclosed by engineers within the company on June 30. Meanwhile, in the automotive sector, the price of second-hand luxury fuel vehicles has seen a dramatic decline, with a Bentley listed at approximately 26,800 yuan and a Porsche Macan at around 15,000 yuan as of July 1 in Qingdao. This drop is attributed to a notable increase in depreciation rates, which reached 30% in May alone, a stark contrast to the previous annual average of 30%. In the realm of artificial intelligence, Anthropic announced that its Claude model is now fully available on Microsoft Foundry, allowing enterprise users to deploy the model within the Azure environment. Additionally, Amazon Web Services revealed plans to invest $1 billion to establish a new AI department aimed at assisting clients in building AI systems. In financial news, Warren Buffett has paused his annual donations to the Bill and Melinda Gates Foundation, pending the outcome of an investigation related to the late Jeffrey Epstein. Furthermore, the U.S. Federal Reserve Chairman emphasized the ongoing challenge of high inflation levels in the country, indicating a commitment to maintaining price stability. As for the tech industry, Meta is reportedly planning to sell excess AI computing resources to external clients, intensifying competition with major cloud service providers.
NVIDIA DGX SuperPOD Sets the Stage for Rubin-Based Systems
At the CES trade show in Las Vegas, NVIDIA unveiled its new Rubin platform, which is set to revolutionize AI computing through large-scale system deployments. The introduction of the NVIDIA DGX SuperPOD marks a significant advancement in this technology, showcasing six new systems designed to enhance performance and efficiency in AI applications. This development aims to meet the growing demand for powerful computing solutions in various industries, positioning NVIDIA at the forefront of the AI revolution. The Rubin platform is expected to facilitate more complex and expansive AI projects, ultimately driving innovation and progress in the field.
A Lightweight Computing Backpack Under 2.5 kg is Liberating Humanoid Robots from the Cloud
At the 2026 Hannover Industrial Fair, humanoid robots demonstrated advanced capabilities powered by the BotPack B series computing backpack, marking a significant leap in robotics technology. This innovative computing solution allows the robots to operate independently of cloud services, providing high-performance processing directly on board. The development addresses critical challenges in the field, particularly concerning weight and power efficiency, enabling the robots to execute complex tasks seamlessly. The fair showcased how this technology could revolutionize various industries by enhancing the autonomy and functionality of robotic systems.
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Hitachi and Intel Collaborating to Develop Physical AI, Quantum Computing Across Key Industries
Hitachi and Intel have announced a strategic partnership aimed at advancing technologies in physical AI, quantum computing, and digital infrastructure. This collaboration, which was revealed recently, seeks to leverage Hitachi’s strengths in information technology, operational technology, and industrial systems alongside Intel’s capabilities in semiconductor manufacturing and computing. The two companies intend to focus their efforts on developing innovative solutions for various sectors, including manufacturing, energy, and mobility. By combining their expertise, Hitachi and Intel aim to enhance industrial processes and drive technological progress across these critical industries.
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Vbot Launches Daitou EDU: A Versatile Quadruped Robot Development Platform
Vbot has introduced the Daitou EDU, a quadruped robot development platform designed for real-world applications. Unlike traditional robots that focus on speed and agility, the Daitou EDU emphasizes the importance of practical use cases in various sectors, such as property management and healthcare. The significance of the Daitou EDU lies in its advanced capabilities, including 128 TOPS edge computing power, integrated perception hardware, and autonomous mobility features. This platform allows developers to create applications without starting from scratch, addressing the gap between robotic capabilities and practical applications in diverse environments. Looking ahead, the Daitou EDU represents a shift in the robotics industry towards creating adaptable robots that can be redefined for multiple scenarios. As developers begin to leverage its features, the potential for innovative applications in various fields will expand, raising questions about the future roles of robots in everyday life.
Quadruped Robots Robotics Development Embodied Intelligence AI Applications
Richtech Robotics Introduces 24/7 Livestream with AI Robot ADAM for Global Interaction
Richtech Robotics, based in Nevada, has launched a 24/7 interactive livestream featuring its AI humanoid robot, ADAM. This initiative allows global audiences to engage with ADAM in real-time, asking questions and observing the robot's responses. The platform utilizes Nvidia Jetson Thor for onboard computing and the Nvidia Isaac open robotics platform, showcasing the capabilities of embodied AI. This livestream initiative is significant as it represents a shift in human-robot interaction, moving beyond traditional pre-recorded content to a dynamic, user-controlled experience. Richtech Robotics aims to demonstrate how AI-powered robots can effectively communicate in real-world settings, enhancing user engagement and showcasing their broader portfolio of automation solutions across various industries, including hospitality and manufacturing. Looking ahead, Richtech Robotics is positioned to lead advancements in intelligent automation and robotics. The company plans to continue evolving the interaction between humans and robots, with no further timeline disclosed for additional features or expansions of the ADAM livestream platform at the time of publication.
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XYZ Embodied AI Launches BotPack B Series Edge Computing Backpack
XYZ Embodied AI has launched the BotPack B Series, a cutting-edge edge computing backpack designed to enhance the capabilities of robots by allowing them to run artificial intelligence models locally. This innovation significantly reduces latency, enabling more efficient processing and quicker response times for robotic applications. The introduction of the BotPack B Series marks a notable advancement in robotics technology, aimed at improving performance in various fields such as manufacturing, logistics, and service industries. By equipping robots with this portable computing solution, XYZ Embodied AI seeks to address the growing demand for real-time data processing and decision-making in autonomous systems. The product is expected to be available in the market shortly, promising to transform how robots operate in dynamic environments.
News
Siemens collaborates with Databricks and FFT to enhance production data with AI insights.
Siemens has unveiled a new edge-to-cloud integration in collaboration with Databricks, a leading Data and AI company, and its long-time automation partner, FFT Produktionssysteme. This innovative partnership aims to streamline the connection of production data directly to enterprise AI, eliminating the need for complex IoT middleware. By facilitating this direct integration, Siemens and its partners intend to empower industrial customers to transform their production data into actionable insights, thereby enhancing the scalability of industrial AI solutions on a global scale. This initiative underscores the growing importance of data-driven decision-making in the manufacturing sector, enabling companies to leverage advanced analytics for improved operational efficiency and competitiveness.
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Virginia Tech researchers control soft robotics with ‘AI’s cousin’: ‘Reservoir computing’
Researchers at Virginia Tech are advancing the field of soft robotics, which utilizes flexible, muscle-like materials to create machines capable of bending and stretching in ways that surpass traditional rigid robots. This innovative technology enables applications such as harvesting ripe tomatoes and navigating complex search-and-rescue environments. However, the inherent flexibility of these robots presents significant challenges in control and precision. The team at Virginia Tech is focused on addressing these control difficulties to enhance the functionality and reliability of soft robotics, aiming to unlock their full potential in various practical applications.
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WAIC 2026 Preview: Highlights of Embodied Intelligence and Robotics
The WAIC 2026 is set to commence on July 17, featuring embodied intelligence and intelligent computing as its two main themes. Embodied intelligence has emerged as a focal point of the event, attracting significant attention from government, capital, industry, and the public. Over 200 companies are expected to showcase their innovations in this field. This year's exhibition marks a shift from demonstration effects to practical application capabilities, indicating a notable maturity in the industry chain. Attendees can expect to see an increase in complete machine categories, active large model solutions, and accelerated domestic component replacements. The H3 pavilion will highlight key exhibitors and trends, providing insights into the practical applications of embodied intelligence in various sectors. Notable companies such as Zhiyuan and UBTECH will present their latest humanoid robots and technologies, emphasizing production delivery capabilities over technical demonstrations. The event will also feature a demonstration of a robot factory and various innovative robotic solutions, showcasing the potential of embodied intelligence in real-world applications. No further timeline was disclosed at the time of publication.
Embodied Intelligence Humanoid Robots Robotics AI Industrial Automation
Computing Power Paradox: General-Purpose Chips in Shortage as Shanghai Zhangjiang Builds China Silicon Photonics Hub
In the midst of ongoing discussions regarding China's computing power dynamics, Shanghai Zhangjiang has established itself as a significant national center for silicon photonics. This development comes as over 20 companies have set up operations in the area, covering the entire value chain of the technology. The rise of Zhangjiang as a hub reflects the country's strategic focus on advancing its capabilities in this critical sector, which is essential for enhancing computing power and addressing potential shortages. The concentration of firms in Shanghai is indicative of a broader push to innovate and strengthen China's position in the global technology landscape.
Technology
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.
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.
"Building a Brain for Robots: How Chip Bridge Semiconductor Positions Itself in the Foundation of Embodied Intelligent Computing Power"
Chip Bridge Semiconductor is making significant strides in the development of advanced computing technology aimed at enhancing robotic intelligence. The company is focused on creating a new generation of chips designed to serve as the foundational brain for robots, enabling them to process information and respond to their environments more effectively. This initiative comes at a time when the demand for embodied intelligent computing is rapidly increasing, driven by advancements in artificial intelligence and automation. Located in Silicon Valley, Chip Bridge Semiconductor is leveraging cutting-edge research and development to innovate in this competitive field. The company aims to address the growing need for robots that can operate autonomously in various settings, from manufacturing to healthcare. By integrating sophisticated algorithms with powerful semiconductor technology, Chip Bridge is positioning itself as a leader in the robotics sector. The motivation behind this initiative is to create robots that not only perform tasks but also learn and adapt to new challenges, thereby improving efficiency and productivity across industries. Through strategic partnerships and investments in research, Chip Bridge Semiconductor is working to refine its chip designs and enhance their capabilities, ensuring that they meet the evolving needs of the market. As the landscape of robotics continues to evolve, Chip Bridge Semiconductor’s efforts could play a crucial role in shaping the future of intelligent machines, making them more capable and versatile in their applications.
Robotics Automation AI
Increased Security for Physical AI
Infineon Technologies has announced the integration of its Optiga TPM SLB 9672 hardware security module into Nvidia's Jetson Thor computing platform, which is designed for robotics and autonomous systems. This collaboration aims to enhance security measures for physical artificial intelligence applications. By incorporating advanced security features, the partnership seeks to address growing concerns regarding data protection and system integrity in increasingly automated environments. The integration is expected to provide developers with robust tools to build secure and reliable robotic solutions.
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"Computing power surpasses Nvidia, with costs only 1/10! BabyAlpha A3 debuts, consumer-grade AI intelligence reaches a turning point..."
In a significant advancement for consumer-grade artificial intelligence, the BabyAlpha A3 has been launched, boasting computing power that exceeds that of Nvidia while costing only a fraction—one-tenth—of the price. This development marks a pivotal moment in the AI industry, as it democratizes access to high-performance computing capabilities for consumers and smaller enterprises. The BabyAlpha A3 is expected to empower a broader range of applications, from personal use to small business operations, by making advanced AI technology more affordable and accessible. The introduction of this product highlights the ongoing competition in the tech sector, where companies are striving to innovate and reduce costs to capture a larger share of the market. As the demand for AI solutions continues to grow, the BabyAlpha A3 represents a notable shift towards more accessible and cost-effective AI tools for everyday users.
Robotics Automation AI
When Chips Grow Limbs: A Giant with a Market Value of 327.4 Billion Rapidly Enters Embodied Intelligence
A significant advancement in embodied intelligence has emerged from a collaboration between Moore Threads and the Beijing Zhiyuan AI Research Institute. The two organizations have successfully trained the RoboBrain2.5 model, a development that highlights the growing capabilities of domestic computing power in this innovative sector. As traditional computing chips face challenges of obsolescence, this milestone represents a pivotal moment for the future of computing. The partnership aims to enhance the efficiency and effectiveness of AI applications, positioning itself at the forefront of technological evolution.
Embodied Intelligence AI Computing Chip Technology Simulation Data Robotics
How AI is Changing Computing—And Why Testing Is Critical
Artificial intelligence (AI) is increasingly reshaping various industries and enhancing everyday life by improving efficiency and decision-making processes. However, the rapid advancements in AI technology are leading to a significant rise in the demand for computational processing power. This surge is driven by the need for more sophisticated algorithms and larger datasets, which are essential for training AI models effectively. As organizations across sectors seek to leverage AI for competitive advantage, the challenge of meeting this growing computational demand becomes critical. Industry experts emphasize the importance of developing more efficient computing solutions to support the ongoing evolution of AI, ensuring that its benefits can be fully realized while addressing the environmental and economic implications of increased energy consumption.
Bee-inspired AI reduces computing power needed for autonomous drones
An international team of researchers has unveiled a groundbreaking navigation strategy for drones, dubbed “Bee-Nav,” which draws inspiration from the foraging behavior of honeybees. This innovative approach was presented at a recent conference held in Zurich, Switzerland, where experts gathered to discuss advancements in drone technology. The motivation behind the development of Bee-Nav stems from the need for more efficient and reliable navigation systems in various applications, including agriculture, search and rescue operations, and environmental monitoring. By mimicking the way bees communicate and navigate through complex environments, the researchers have created a system that enhances drones' ability to traverse challenging terrains and locate targets with greater precision. The implementation of this strategy involves advanced algorithms that process environmental data, allowing drones to adapt their flight paths in real-time. This advancement could significantly improve the effectiveness of drone operations, paving the way for broader applications in both commercial and humanitarian efforts.
US Air Force validates Japanese edge computing chip for battlefield missions
A Japanese semiconductor company has showcased its advanced edge AI platform during a recent demonstration for the U.S. Air Force. This event took place as part of ongoing efforts to enhance military technology and operational efficiency. The platform is designed to process data at the edge, enabling faster decision-making and improved performance in various defense applications. By leveraging cutting-edge artificial intelligence capabilities, the company aims to support the Air Force's mission to modernize its technological infrastructure. The demonstration highlights the growing collaboration between private tech firms and military organizations in the pursuit of innovative solutions to meet national security challenges.
Military
Unlocking soft robotics control with AI's cousin: Reservoir computing
Recent advancements in soft robotics, which utilize flexible, muscle-like materials, have revolutionized the field, allowing machines to perform tasks such as picking ripe tomatoes and navigating complex search-and-rescue environments. However, despite their impressive capabilities, these innovative robots face significant challenges in terms of control. The inherent flexibility that enables their fluid movements also complicates their operation, making it difficult for developers to achieve precise control. As researchers continue to explore the potential of soft robotics, the quest for improved control mechanisms remains a critical focus, highlighting the balance between versatility and functionality in this emerging technology.
Robotics
AI Is Learning to Read the Room
Recent advancements in emotion AI technology are reshaping how machines interpret human feelings, particularly in professional settings. Companies like Meta and startups such as Hume AI are developing systems that analyze facial expressions, voice tones, and behaviors to gauge emotions during interactions like performance reviews. This technology, which has applications in employee well-being, recruitment, and customer service, aims to enhance communication by providing real-time feedback. Despite its rapid growth, current emotion AI systems often struggle to capture the complexity of human emotions, typically categorizing feelings into simplistic labels like "happy" or "sad." Researchers are now focusing on a new approach called human-context AI, which combines multiple inputs—such as facial dynamics and voice modulation—with situational context to better understand emotional nuances. This shift aims to close the gap between human emotional expression and machine interpretation. The origins of emotion AI trace back to the MIT Media Lab, where Rosalind Picard pioneered the concept of affective computing. Over the years, advancements in data collection and analysis have improved the accuracy of emotion detection. However, ethical concerns remain, particularly regarding privacy and the potential for misuse in workplaces and public spaces. As this technology evolves, it promises to enhance various applications, from professional development platforms to health care, by providing a deeper understanding of human emotions. Yet, experts caution against over-reliance on AI for critical decisions, emphasizing the importance of human insight in interpreting emotional signals.
Emotions Affective-computing Facial-expressions Companion-robots Multimodal-ai Machine-learning
Nebius and Nvidia launch Physical AI Living Lab for European robotics startups
Nebius, a prominent AI cloud company, has launched the Physical AI Living Lab, a six-month initiative aimed at supporting robotics startups across Britain and Europe. This program provides participants with access to Nvidia’s advanced physical AI development tools alongside Nebius’s robust AI cloud infrastructure. The initiative addresses a significant challenge faced by early-stage robotics companies, which often lack the resources to create large-scale simulations, generate synthetic data, and utilize accelerated computing necessary for their development. By offering these essential tools and support, Nebius aims to foster innovation and growth within the robotics sector, ultimately enhancing the capabilities of emerging technologies in the field.
Artificial Intelligence Computing AI cloud computing AI infrastructure automation news nebius
NVIDIA BioNeMo Agent Toolkit Brings Accelerated AI to Life Sciences Researchers in Claude Science
NVIDIA is at the forefront of a transformative shift in the life sciences sector, leveraging over a decade of expertise in developing a comprehensive GPU-accelerated computing stack. This stack includes hardware, frameworks, libraries, models, microservices, and specialized tools designed to enhance computational capabilities in biological research and healthcare. The company's advancements are aimed at addressing the growing demand for sophisticated data analysis and processing in life sciences, which has increasingly relied on computational power to drive innovation and discovery. As of October 2023, NVIDIA's initiatives are set to revolutionize how researchers and healthcare professionals utilize technology, ultimately improving outcomes in various applications from drug discovery to personalized medicine.
UK and Japan Announce ‘Frontier Technology Partnership’ Including AI, Quantum, Space & Energy
The United Kingdom and Japan have initiated a new partnership focused on frontier technologies, with the goal of enhancing collaboration in areas such as artificial intelligence, semiconductors, and quantum computing. This agreement, announced by UK Prime Minister Keir Starmer and Japanese Prime Minister Sanae Takaichi, reflects both nations' efforts to bolster economic resilience and decrease reliance on foreign technology ecosystems. The partnership underscores a shared commitment to innovation and strategic technological advancement, aiming to foster a robust cooperative framework that can address emerging challenges in the global tech landscape.
AI AI Funding & Investment Robotics Cybersecurity Defense Japan
DeepX Announces Global Physical AI Mass Production Partnership with Aaeon
DeepX and Aaeon Technology have entered into a three-year manufacturing agreement to scale the integration of DeepX’s AI chips into industrial and edge computing systems. This collaboration was announced during Computex Taipei 2026 and aims to establish a commercialization pipeline for DeepX’s neural processing units (NPUs). The agreement will facilitate the incorporation of these advanced chips into Aaeon’s range of products, including industrial computers, single-board computers, and edge gateway devices. This partnership reflects a growing demand for enhanced AI capabilities in various computing applications, positioning both companies to capitalize on the expanding market for intelligent edge solutions.
AI AI Funding & Investment AI Infrastructure & Compute Robotics Aaeon Technologies DEEPX
Taiwan’s Industry Titans Turbocharge World’s AI Infrastructure Buildout With NVIDIA
Taiwan has emerged as a crucial hub for NVIDIA's operations, boasting over 500 ecosystem partners and contributing significantly to the production of NVIDIA MGX rack components. More than 1 million of these components are being assembled across 25 factory sites in the region to support the NVIDIA Vera Rubin infrastructure. As production ramps up, this initiative aims to enhance the capabilities of advanced computing systems, reflecting NVIDIA's commitment to expanding its technological footprint in Taiwan. The collaboration underscores the importance of Taiwan in the global tech supply chain, particularly in the development of cutting-edge technologies.
The Future of Physical AI Isn’t Smarter Robots, It’s Smarter Interfaces
Wetour Robotics is pioneering a new approach to human-machine interaction with its innovative concept of Spatial Intent Fusion, which aims to enhance how people communicate with connected devices. This initiative comes in response to the limitations of traditional input methods—screens, buttons, and voice commands—that often fail in dynamic environments where users' hands are occupied or speech is impractical. The company, which has made significant strides in the field of Physical AI over the past three years, emphasizes the need to integrate human intent into the computing loop as seamlessly as the robots already operate. By utilizing a portable intelligent hub called Orchestra, Wetour Robotics processes multiple streams of human-centered information—spatial position, visual context, and gestural intent—into real-time commands for various devices. Orchestra operates on the NVIDIA Jetson Orin Nano Super platform, ensuring low-latency performance without relying on cloud processing. The system includes advanced features such as pre-motion intent sensing, which allows it to anticipate user actions based on biosignal data. Wetour Robotics acknowledges ongoing challenges, such as maintaining signal stability during movement and integrating diverse device protocols. However, the company believes that treating the human body as an active participant in the computing network will not only improve individual user experiences but also provide valuable data for the development of future AI technologies. This initiative represents a significant step forward in bridging the gap between human and robotic capabilities, ultimately enhancing the broader Physical AI ecosystem.
Interfaces Physical-ai Robot-hardware Smarter-robotsRobotics needs a service framework.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
