Industry Briefing
A single destination for timely, editor-curated robotics news from around the world.
Google Introduces 'Preferred Sources' Button to Help Publishers Combat AI Traffic Declines
Google has launched a new 'Preferred Sources' button for publishers, allowing readers to mark their favorite sources for more visibility in Google Search, Discover, and Google News. This initiative aims to counteract the traffic losses that publishers have experienced due to AI-driven changes in search algorithms. The introduction of this feature follows Google's earlier rollout of Preferred Sources in May, which has already seen over 345,000 unique sources selected by users. By enabling readers to easily identify trusted publishers, Google hopes to drive more traffic back to these websites, as studies indicate users are twice as likely to click on preferred sources. In addition to the 'Preferred Sources' button, Google plans to enhance user experience by allowing readers to customize their Discover feed and audio briefings in the Google News app. No further timeline was disclosed at the time of publication.
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Casefinite Launches Accessories for Google Pixel 11 Series Including Slim Cases and Glass Films
On August 13, Casefinite announced the launch of accessories compatible with the Google Pixel 11 series, including the Pixel 11, 11 Pro, 11 Pro XL, and 11 Pro Fold. The accessories feature unique technologies such as a matte coating for the Frost Air Ultra case and an anti-yellowing technology for the Invisible Air case. These products are significant as they enhance the user experience for Pixel 11 series owners, offering improved functionality like optimized fingerprint recognition through the Casefinite Glass. The pricing for these accessories ranges from 6,980 to 8,950 yen for cases and 4,299 yen for glass films, making them accessible for consumers looking to protect their devices. Looking ahead, the Pixel 11 series is set to be officially released on August 20, with the Pro models priced starting at 174,800 yen. The market will be watching how these accessories perform alongside the new smartphone features, particularly the advancements in AI processing with the Tensor G6 chip.
Google Launches Sign-Language Translation Model for Enhanced User Interaction
Google has introduced a sign-language translation model capable of converting intricate body movements into text, utilizing over 100,000 hours of data from more than 50 sign languages. This technology, known as sign-language-to-text (SL2T), is being integrated into consumer devices, starting with American Sign Language (ASL) on Pixel 11. Users can now sign to search the web, compose messages, and engage with Google’s Gemini, enhancing accessibility for the Deaf community. The significance of this development lies in its ability to address the unique complexities of sign languages, which possess their own grammar and vocabulary. Unlike traditional speech transcription, sign-language translation involves interpreting simultaneous hand movements, facial expressions, and body posture. Google’s SL2T model employs computer vision techniques to convert the signer’s movements into a structured format before translating them into text, ensuring a more accurate representation of the signed language. Looking ahead, Google aims to refine the SL2T system further by addressing practical challenges such as latency and performance for various signing styles. The involvement of Deaf users and organizations throughout the development process underscores the commitment to creating a user-friendly and effective translation tool. No further timeline was disclosed at the time of publication.
AI and Robotics
Google DeepMind Launches Gemini Robotics 2: A Comprehensive Robot with Advanced Capabilities
On August 2, Google DeepMind introduced Gemini Robotics 2, the latest version of its visual-language-action model. This new model enhances full-body control, advanced dexterity, and multi-robot collaboration, marking a significant advancement from its predecessor, which only managed upper-body tasks. Gemini Robotics 2 allows the Apptronik Apollo 2 humanoid robot to autonomously execute complex tasks, such as placing a watering can into a designated bucket, requiring coordinated decision-making and balance. While there is room for improvement in movement speed, this development represents a crucial step towards handling more intricate real-world tasks. The model also introduces multi-robot collaboration, enabling different robots to communicate and work together on complex workflows. With the ASIMOV-Agentic benchmark, Gemini Robotics 2 excels in safety compliance and human proximity detection, ensuring safe operation. The Gemini Robotics On-Device 2 is designed for applications requiring offline functionality, adapting to new robotic forms with minimal data and time.
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Google DeepMind Introduces Gemini Robotics 2 for Enhanced Humanoid Control
Google DeepMind recently launched Gemini Robotics 2, an advanced version of its vision-language-action model. This iteration features intelligent whole-body control, enabling robots to perform complex tasks such as walking, crouching, and object manipulation. The model can adapt to new robotic bodies quickly, enhancing its versatility. The significance of Gemini Robotics 2 lies in its ability to expand physical AI capabilities, allowing robots to execute intricate movements and collaborate with other robots. This development is crucial for achieving the finesse required for real-world applications, such as household chores and workplace tasks. Looking ahead, the focus will be on further improving movement speed and dexterity. Gemini Robotics 2 represents a pivotal advancement in robotics, as it can control sophisticated end effectors like the SharpaWave hand, enabling delicate actions. No further timeline was disclosed at the time of publication.
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Introducing Google DeepMind's Gemini Robotics 2: A Leap in Robot Adaptability
Google DeepMind has unveiled Gemini Robotics 2, marking a significant advancement in robotics. This new intelligence layer enables robots to achieve whole-body control, enhanced dexterity, and collaborative capabilities among multiple robots. The introduction of Gemini Robotics 2 is crucial as it represents a step towards creating truly adaptable robots that can perform complex tasks in dynamic environments. This technology could revolutionize various applications, from industrial automation to personal assistance. Looking ahead, the development of Gemini Robotics 2 will be closely monitored as it progresses. The potential for multi-robot collaboration and advanced dexterity opens up new possibilities in robotics, making it a key area of interest for future innovations.
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Google DeepMind Unveils Gemini Robotics 2 AI Model for Humanoid Robots
On July 30, 2026, Google DeepMind announced the latest AI model for humanoid robots, Gemini Robotics 2. This model advances from upper-body control to full-body control, enabling walking, bending, and advanced dexterity, as well as collaborative tasks among multiple robots. Gemini Robotics 2 translates visual and language inputs into motion control, supporting full-body and dual-arm robot operations. It features enhanced physical reasoning capabilities with Gemini Robotics ER 2, which manages human communication and multi-step task planning, and Gemini Robotics On-Device 2, which adapts quickly to new robots with minimal data. The model demonstrated its capabilities using Apptronik's humanoid robot Apollo 2, performing tasks such as walking to a table, lifting objects, and accurately storing them. With a 22-degree-of-freedom hand, it can execute delicate tasks like tying knots. The introduction of the ASIMOV-Agentic benchmark emphasizes safety, allowing the robot to detect human presence and stop safely, marking it as the safest model to date.
Google DeepMind Launches Gemini Robotics 2 for Enhanced Autonomy in Humanoid Robots
Google DeepMind has introduced Gemini Robotics 2, a suite of AI models aimed at enhancing the autonomy of humanoid and other robots through advanced whole-body control and dexterity. This system is currently showcased on Apptronik's Apollo 2 humanoid robot, which can execute full-body autonomous movements such as walking and manipulating objects while reasoning through complex tasks in real time. The significance of this development lies in its ability to enable robots to move beyond pre-programmed tasks, adapting to dynamic environments. Gemini Robotics 2 serves as an 'intelligence layer' for robots, facilitating coordination from 'feet to fingertips' and improving dexterity with tasks like tying trash bags or unscrewing light bulbs. This advancement builds on the collaboration between Google DeepMind and Apptronik, which recently launched Robot Park to gather data for training future AI models. Looking ahead, the introduction of multi-robot collaboration capabilities allows different robot types to work together on complex workflows. Gemini Robotics On-Device 2 is designed for industrial settings with limited cloud connectivity, enabling rapid adaptation to new hardware. No further timeline was disclosed at the time of publication.
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Google Reports Record Chrome Bug Fixes in June with AI Assistance
Google has announced that it patched 1,072 security flaws in its Chrome browser in June, surpassing the total of 1,036 bugs fixed in the previous two years combined. This significant achievement is attributed to the company's internal AI tools, which have enabled faster identification and resolution of vulnerabilities. The increase in bug fixes highlights the transformative impact of AI on cybersecurity, as noted by Doug Turner, Chrome’s director of engineering. He stated that AI models like Gemini have revolutionized vulnerability discovery, allowing Google to stay ahead of potential threats and enhance Chrome's security with each update. As the trend of AI-driven bug fixes continues, other tech giants like Microsoft have also reported significant increases in security patches. Microsoft fixed 570 flaws in its products recently, while Apple has not experienced the same growth, having patched 482 bugs in 2026. No further timeline was disclosed at the time of publication.
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Google DeepMind Launches Gemini AI to Enhance Robot Dexterity and Coordination
Google DeepMind has introduced a new AI model named Gemini, designed to improve the dexterity of humanoid robots. This advancement enables robots to coordinate movements throughout their bodies, enhancing their ability to perform complex tasks. The introduction of Gemini AI is significant as it represents a step forward in enabling robots to reason, plan multi-step tasks, and adapt to human environments. This capability is crucial for the integration of robots into everyday settings, where they must interact seamlessly with humans and their surroundings. Looking ahead, the focus will be on how Gemini AI can be further developed and implemented in various robotic applications. No further timeline was disclosed at the time of publication.
Google DeepMind Unveils Gemini Robotics 2 for Full-Body Control of Humanoid Robots
Google DeepMind has announced the launch of Gemini Robotics 2, an advanced AI model capable of controlling humanoid robots from 'feet to fingertips.' This new version enhances the robot's ability to perform a variety of actions, including walking, crouching, and manipulating objects, significantly expanding its functional capabilities. The importance of this development lies in its potential to enable humanoid robots to undertake more complex, real-world tasks that require whole-body coordination. With improved dexterity, Gemini Robotics 2 allows robots to perform intricate tasks such as sealing bags and unscrewing lightbulbs, marking a significant advancement in robotic manipulation. Looking ahead, Google DeepMind is also enhancing its Gemini Robotics ER model, which aids robots in analyzing their environment and executing multi-step tasks. This update aims to improve collaboration among different types of robots, enhancing safety features and operational efficiency. No further timeline was disclosed at the time of publication.
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Sensitive User Conversations Exposed in Google Search Due to Claude Chat Feature
Over the weekend, Google indexed a number of publicly shared Claude conversations, raising concerns about the handling of sensitive information. Users discovered that these conversations included medical records, internal business documents, and personal details about children, highlighting potential privacy risks associated with Claude’s chat-sharing feature. This incident underscores the importance of user awareness regarding the visibility of AI-generated content shared through public links. Anthropic, the company behind Claude, emphasized that users have control over whether their conversations are publicly accessible, yet many users seemed unaware of the implications of sharing links. As of Monday afternoon, the exposed pages were no longer searchable on Google, suggesting that they were removed from the index. However, this incident serves as a reminder that information shared publicly can reach a broader audience than intended, prompting users to be more cautious with their shared content.
AI and Robotics
Google and Tesla Experience Major Market Losses Amid Supplier Gains in AI Sector
This week, Alphabet and Tesla faced significant market losses, with Alphabet's stock dropping 8% and Tesla's falling 18%, resulting in a combined loss of approximately $580 billion in market value. Alphabet's capital spending surged to nearly $45 billion, leading to negative free cash flow for the first time since going public. Tesla's revenue growth was overshadowed by disappointing earnings and a decline in operating margin. The market's reaction highlights a growing concern over the sustainability of heavy investments in artificial intelligence by major tech firms. While Alphabet and Tesla struggled, their suppliers, including Supermicro Computer and Digital Realty, saw substantial gains, reflecting a shift in investor confidence towards companies directly benefiting from AI spending. Supermicro reported over $60 billion in new orders, while Digital Realty experienced a record leasing backlog. Looking ahead, the focus will be on how Alphabet and Tesla adjust their spending strategies in response to market pressures. No further timeline was disclosed at the time of publication, but the contrasting fortunes of these tech giants and their suppliers may influence future investment decisions in the AI landscape.
NASA Demonstrates Google’s Gemma Large Language Model in Space with NAVI-Orbital
NASA's Jet Propulsion Laboratory has successfully sent Google's Gemma 3 to space, marking the first in-orbit demonstration of a vision-language model analyzing satellite imagery. The NAVI-Orbital system utilized Gemma 3 to interpret images from Loft Orbital's YAM-9 satellite, showcasing a new method for scientists to interact with spacecraft through natural language prompts. This advancement is significant as it allows researchers to bypass traditional structured commands, enabling more intuitive communication with satellites. Juan M. Delfa from NASA highlighted that this shift could enhance how scientists engage with space missions, potentially streamlining operations and improving data analysis. Looking ahead, the implications of NAVI-Orbital extend beyond image analysis. The system could revolutionize satellite operations by enabling real-time data interpretation and reporting, which is crucial for applications like wildfire detection. No further timeline was disclosed at the time of publication.
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Google Fined $1 Billion Under EU Digital Markets Act for Preferential Treatment
The European Commission has imposed a fine of 890 million euros ($1 billion) on Google, marking the company's first penalty under the EU's Digital Markets Act (DMA). The Commission found that Google favored its own services, such as shopping and hotels, in search results, disadvantaging third-party offerings. This ruling is significant as it underscores the EU's commitment to regulating Big Tech and ensuring fair competition in the digital marketplace. The DMA aims to prevent anti-competitive practices and promote a level playing field for all service providers, which is crucial for consumer choice and innovation. Looking ahead, Google has 60 days to comply with the Commission's directives or face additional fines of up to 5% of its global revenue. The company is currently reviewing the decision and considering an appeal, while also testing changes to its search presentation to align with the DMA requirements. No further timeline was disclosed at the time of publication.
Microagi Partners with Google Cloud to Advance AI Robotics Development
Microagi, a Munich-based AI startup, has announced a collaboration with Google Cloud to enhance the development of robotics that can understand and interact with physical environments. This partnership will leverage Google Cloud's AI infrastructure alongside the NVIDIA Blackwell platform to process extensive physical datasets and train specialized 'embodied AI' models. This collaboration is significant as it aims to accelerate the capabilities of robotics in real-world applications, enabling them to better navigate and respond to their surroundings. By utilizing advanced AI technologies, Microagi seeks to push the boundaries of what embodied AI can achieve in various sectors. Looking ahead, it will be important to monitor the progress of Microagi's model training efforts and the practical applications of their robotics solutions. No further timeline was disclosed at the time of publication.
Big Tech Earnings Season Begins with Google and Tesla Reporting Soon
Big Tech earnings season is set to commence on Wednesday, with Google and Tesla scheduled to report their financial results after market close. Analysts will closely monitor Tesla's expenditures on its Robotaxi, Optimus humanoid robot, and AI initiatives, which may significantly impact its free cash flow. The significance of this earnings season lies in the performance of major players like Intel and Google, both of which have seen stock fluctuations tied to the AI boom. Intel's stock has experienced highs due to AI data center growth, but recent trading patterns suggest a shift away from the semiconductor sector. Investors are eager to learn about any new customers for Intel's foundry business. Looking ahead, AMD will host its Advancing AI event in San Francisco on Thursday, where it is anticipated to unveil updates to its product lines in the data center sector. No further timeline was disclosed at the time of publication.
Google and Tesla Lead Earnings Reports Amid Strong S&P 500 Growth Expectations
This week, major tech firms Alphabet and Tesla are set to release their quarterly earnings, drawing investor attention amid significant capital expenditure commitments for AI development. Additionally, Intel will provide insights into artificial intelligence demand, while IBM will clarify its Q2 results following a stock decline due to pre-announced earnings. The earnings season commenced last week with strong performances from banks like JPMorgan and Morgan Stanley, although Netflix's results fell short of expectations. Analysts predict a 24.7% year-over-year growth rate for S&P 500 earnings in Q2, surpassing both the five-year and ten-year averages, indicating a robust earnings season. Looking ahead, the focus will be on how these tech giants navigate their capital investments in AI and the implications for their future growth. No further timeline was disclosed at the time of publication.
Google Expands AI Mode to Integrate with Popular Apps Like Instacart and Canva
Google has announced an update to its AI Mode, allowing users to link and interact with select apps such as Instacart, Canva, and YouTube. This enhancement enables users to complete tasks directly within the conversational search experience, moving beyond simple question answering. The integration of these apps is significant as it positions Google to compete more effectively with rivals like OpenAI’s ChatGPT and Anthropic’s Claude, both of which offer app integrations. By encouraging users to utilize AI Mode for planning and shopping, Google aims to increase engagement with its platform. Looking ahead, Google plans to expand the range of supported apps, building on previous capabilities introduced at Google I/O. No further timeline was disclosed at the time of publication.
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Microsoft Edge 150 Launches with Google Account Sign-In and OpenAI Unveils GPT-5.6
On July 2, Microsoft released version 150.0.4078.48 of Microsoft Edge for desktop, introducing support for Google account sign-ins on both Windows and macOS. This update allows users to log in using either a Microsoft or Google account, enhancing accessibility for users. IT administrators can manage this feature through a new policy called 'NonMicrosoftAccountSignInEnabled'. The significance of this update lies in its potential to streamline user experience and broaden the browser's appeal. By allowing Google account integration, Microsoft Edge aims to attract users who prefer Google's ecosystem, thereby increasing its market share. Additionally, version 150 will be the last to support macOS 13 Monterey, as future updates will require macOS 12 Ventura or later. On July 9, OpenAI officially launched its new AI model series, GPT-5.6, following a limited preview. This series includes three tiers: Sol, Terra, and Luna, each optimized for different performance and cost metrics. The rollout of GPT-5.6 is expected to enhance capabilities in various applications, including coding and cybersecurity, with pricing structured to appeal to a wide range of users. No further timeline was disclosed at the time of publication.
Can Google Cloud break free from its "perennial third place" status? An analysis of the favorable winds.
Google Cloud is experiencing a positive shift in the enterprise market as major domestic system integrators (SIs) in Japan are moving towards collaboration with the company. This development comes in the wake of Google Cloud's previous struggles to compete with industry giants like AWS and Microsoft. The partnerships are being forged to leverage Google Cloud's capabilities, particularly in artificial intelligence, which is seen as a strategic advantage in enhancing service offerings. The collaboration aims to integrate AI agents into various business solutions, reflecting a growing recognition of Google Cloud's potential in the market. As these SIs align with Google Cloud, the company is poised to strengthen its position and expand its influence in the enterprise sector.
Why Inzai City, Chiba Became a "Data Center Hub": A Miscalculation That Attracted Google and Microsoft 50 Years Ago
Inzai City, located approximately 40 kilometers northeast of central Tokyo in Chiba Prefecture, has emerged as a significant hub for major global IT companies. Originally developed as "Chiba New Town," this suburban area is now regarded as a "holy land" for the tech industry, attracting attention and investment from leading firms seeking to establish a presence in Japan. The transformation of Inzai reflects broader trends in the tech sector, where proximity to urban centers and access to infrastructure are increasingly valued.
Maizuru City and Chiyoda Ward Reveal IT Revamp and AI Utilization Success Strategies
Maizuru City in Kyoto Prefecture opted for a Google environment over Microsoft, achieving an average reduction of 82 minutes in daily work time per employee. This decision highlights the municipality's strategy to enhance operational efficiency through innovative IT tools. Chiyoda Ward in Tokyo implemented Microsoft 365 Copilot across its departments, resulting in a 97% adoption rate and a reduction of 2,000 hours in work time monthly. The initial reluctance of staff towards AI was addressed through effective engagement strategies, showcasing the importance of user involvement in technology adoption. These case studies illustrate the practical applications of IT and AI in local government, providing valuable insights for other organizations. No further timeline was disclosed at the time of publication.
Hyperscalers Like Amazon and Google May Face Rising Natural Gas Prices, New Report Warns
Hyperscalers, including Amazon, Google, Meta, and Microsoft, are increasingly investing in natural gas to power their data centers, driven by their AI ambitions. However, a report from Noreva warns that natural gas prices could triple in some U.S. regions due to rising demand and declining supply growth, potentially leading to significant cost increases for these companies. The shift towards natural gas marks a departure for hyperscalers, who have traditionally focused on renewable energy sources. With Meta planning a 7.5-gigawatt gas power plant in Louisiana and Microsoft and Google also investing in gigawatt-scale facilities in Texas, these companies are venturing deeper into energy markets. Noreva's CEO, Peter Gardett, cautions that hyperscalers may not be fully prepared for the price volatility associated with natural gas. Looking ahead, while current futures contracts suggest stable natural gas prices, Gardett expresses skepticism about the long-term sustainability of this trend. As the domestic gas market connects more with global markets and AI demand increases, hyperscalers may need to reassess their energy strategies to mitigate potential cost impacts on their operations.
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NVIDIA, Google, and Microsoft Collaborate on 800 VDC Power Architecture for AI Compute
NVIDIA, Google, and Microsoft are advancing the 800 VDC power architecture to enhance AI compute performance. This initiative addresses the inefficiencies of traditional AC power delivery by simplifying the conversion process, allowing more power to reach GPUs. The NVIDIA MGX-compatible 800 VDC power rack, set to launch in the second half of 2026, will enable existing facilities to upgrade without overhauling their electrical systems. The significance of this development lies in its potential to maximize compute density while preserving existing investments in infrastructure. By transitioning to a hybrid architecture, operators can scale their AI capabilities without the need for extensive modifications to their current setups. The roadmap includes a centralized power station for dedicated AI environments, expected in 2027, and a facility-scale unit for new designs, ensuring that the power architecture keeps pace with growing compute demands. Looking ahead, the 800 VDC architecture is positioned as a critical component for the future of AI infrastructure, with over 80 companies already contributing to its development. As global investments in AI and data infrastructure are projected to reach $9 trillion by 2040, the readiness of this power architecture will be essential for facilities aiming to meet increasing compute requirements.
InAgent Achieves 90.2% Success Rate on OSWorld, Leading Computer-Use Agents
InAgent has reached a significant milestone by achieving a 90.2% task success rate on OSWorld, making it the first Computer-Use Agent to surpass the 90% threshold. Notably, InAgent recorded a perfect 100% success rate on system-level tasks, showcasing its advanced capabilities in this competitive landscape. This achievement is crucial as it highlights the evolving competition in AI, particularly in engineering and task execution. With InAgent outperforming notable players like OpenAI, Google, and Anthropic, it sets a new benchmark for what can be accomplished in the realm of computer-use agents. Looking ahead, the focus will be on how InAgent maintains its lead and whether other competitors can catch up. No further timeline was disclosed at the time of publication.
Technology
Google Unveils Gemini Robotics 2 for Advanced Humanoid Robot Control and Reasoning
Google has launched Gemini Robotics 2, a sophisticated robotics model that enables humanoid robots to perform full-body movements and complex tasks. This system allows for coordination among multiple robots and adapts to various robot designs with minimal training. The new capabilities extend beyond simple manipulation to include walking, bending, and balancing. The significance of Gemini Robotics 2 lies in its ability to facilitate multi-step reasoning and adaptability in unfamiliar environments, setting it apart from traditional robots. This model can control both humanoid robots and dual-arm systems, enhancing their functionality for household and industrial applications. Demonstrations showcased its ability to manage tasks such as picking up objects and performing intricate actions with dexterous robotic hands. Looking ahead, Google is also releasing Gemini Robotics ER 2 for high-level reasoning and Gemini Robotics On-Device 2 for local operation without cloud reliance. The introduction of multi-robot collaboration capabilities allows different robots to work together efficiently, marking a notable advancement in robotic technology. No further timeline was disclosed at the time of publication.
AI and Robotics
AgiBot WITA-Omni Achieves Top Score on DailyOmni Benchmark, Surpassing Major Competitors
AgiBot WITA-Omni has achieved a score of 85.21 on the DailyOmni benchmark, securing first place in 6 out of 8 indicators. This performance surpasses notable competitors such as Google Gemini, ByteDance Doubao, and Alibaba Qwen in the realm of embodied cross-modal understanding. The significance of this achievement lies in the innovative Thinker-Talker-Actor architecture utilized by AgiBot WITA-Omni. This architecture effectively synchronizes speech, action, and expression on a single timeline, enhancing its capabilities in cross-modal understanding and interaction. Looking ahead, the performance of AgiBot WITA-Omni on the DailyOmni leaderboard may influence future developments in embodied AI technologies. No further timeline was disclosed at the time of publication.
Technology
Amazon, Meta, and Microsoft Anticipate Investor Scrutiny Following Alphabet's Capex Increase
Shares of Amazon, Meta, and Microsoft declined after Alphabet announced an increase in its 2026 capital expenditure forecast, despite reporting strong cloud growth. This decision raised concerns among investors regarding the sustainability of high capital expenditures in the tech sector, particularly as these companies prepare to release their quarterly results this week. The significance of Alphabet's announcement lies in its potential ripple effects on Amazon and Microsoft, as analysts suggest they may also need to increase their capital expenditures. This comes amid a backdrop of growing investor skepticism towards large-scale infrastructure investments, especially in light of Alphabet's recent cash flow challenges and rising debt levels. Looking ahead, Microsoft and Meta will report their earnings on Wednesday, followed by Amazon on Thursday. Investors will be closely monitoring these results to gauge the companies' capital expenditure strategies and their impact on stock performance, particularly in a climate of increasing scrutiny over AI-related investments and overall market conditions.
Amateur Astronomer Discovers Possible Meteorite Impact Crater in Canada
Amateur astronomer Joël Lapointe discovered a potential meteorite impact crater in Quebec's Côte-Nord region while planning a camping trip. The crater, named Uhackatik, was confirmed by Western planetary geologist Gordon Osinski during a visit in 2025 and is estimated to be 390 million years old and approximately 15 miles (25 kilometers) wide. This discovery is significant as it may be one of the largest craters identified in recent years, with Osinski noting that the last comparable find was the Hiawatha structure in Greenland. The crater's geological features, including shock metamorphic effects and preserved impact melt rocks, provide valuable insights into meteorite impacts, which can enhance our understanding of similar events on the Moon and Mars. The research on Uhackatik will be presented at the 88th Annual Meeting of the Meteoritical Society in Frankfurt, Germany, in August. Osinski and his team are currently analyzing samples to confirm the crater's extraterrestrial origin, while he continues his work with NASA for upcoming lunar missions, including Artemis 4 and 5, expected to launch as soon as 2028.
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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.
Actuate 26 Robotics Developer Conference Reveals Speaker Lineup with Industry Leaders
Foxglove has announced the speaker lineup for Actuate 26, its annual robotics developer conference, featuring leaders from Wayve, Aurora, Physical Intelligence, and more. The event will take place on August 18-19, 2026, at Fort Mason in San Francisco, showcasing technical talks, keynotes, and hands-on programming. This conference is significant as it aims to gather over 1,000 attendees from various sectors deploying robots, including autonomous vehicles, drones, and industrial automation. The participation of industry leaders highlights the growing interest and advancements in robotics and AI technologies. As the event approaches, attendees should look forward to insights from top experts in the field and opportunities for networking and collaboration. No further timeline was disclosed at the time of publication.
SpaceX's Starmind Targets AI Labs with $6.3 Billion Compute Contracts
SpaceX's Starmind is designed to provide wholesale AI compute services to businesses, particularly AI labs and cloud customers, rather than individual consumers. The service operates similarly to AWS, where users benefit from applications running on Starmind without direct subscriptions. The compute capacity of a single AI1 satellite is comparable to one NVIDIA GB300 rack, emphasizing its enterprise-grade capabilities. The significance of Starmind lies in its positioning as a potential fourth hyperscaler, joining the ranks of AWS, Microsoft Azure, and Google Cloud. The Reflection AI contract, valued at $150 million per month, exemplifies the enterprise-focused model, with total payments potentially reaching $6.3 billion through 2029. This contract highlights the growing demand for AI compute resources, particularly from AI-native startups and labs. Looking ahead, the focus will remain on securing additional enterprise contracts as Starmind expands its offerings. No consumer-facing products or subscriptions have been announced, and the current strategy is to cater to businesses with substantial AI workloads. No further timeline was disclosed at the time of publication.
SpaceX's Starmind Project: Supplier Strategy and Chip Manufacturing Plans for 2026
SpaceX's Starmind project, aimed at deploying up to 1 million AI satellites, was filed with the FCC on January 30, 2026. The initiative is designed to minimize reliance on external suppliers, with CEO Elon Musk stating that current chip production capabilities only meet 2% of the projected needs. The first satellite, AI1, is set for prototype launches in early 2027, featuring a 70-meter wingspan and a modular payload system that allows for interchangeable chips from various suppliers. The significance of Starmind lies in its ambitious supply chain strategy, which seeks to transition from external hardware suppliers to a fully integrated Musk-owned facility by 2028. The Gigasat manufacturing site in Bastrop, Texas, is expected to be operational by the end of 2027, with plans for high-volume production of the D3 chip, specifically designed for space applications. This approach aims to consolidate chip manufacturing processes under the Terafab joint venture, which has an estimated initial investment of $55 billion. Looking ahead, the next milestone for Starmind is the launch of AI1 prototypes in early 2027, while the full-scale chip production at Terafab is projected to ramp up significantly thereafter. However, analysts express skepticism regarding the feasibility of achieving Musk's ambitious compute goals, which may require substantial investment and time to establish the necessary manufacturing capabilities.
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.
Apptronik launches Robot Park to train Apollo humanoid robots with Google DeepMind
AI-powered robotics company Apptronik has announced the opening of the newly expanded Robot Park, its flagship data collection and training facility for humanoid robots in Austin, Texas. The facility in Austin anchors a growing global network of Robot Parks at customer and partner sites around the world, and the company plans to open new Robot […]
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Microsoft warns of malicious Chrome extension impersonating "Perplexity."
Microsoft has identified and reported a malicious browser extension that masqueraded as an AI service, leading to its subsequent removal by Google. The company has urged users to verify the source and permissions of any extensions they install to protect themselves from potential threats. This incident highlights the ongoing challenges of cybersecurity in the digital landscape, emphasizing the need for vigilance among users regarding the software they choose to use.
Google's Apptronik opens a 90,000 square foot "robot park": training humanoid robots with a data factory to walk towards...
Apptronik, a robotics company backed by Google, has inaugurated a 90,000 square foot facility known as a "robot park" dedicated to the training of humanoid robots. This state-of-the-art center, located in Austin, Texas, aims to enhance the capabilities of robots by utilizing a sophisticated data factory that allows them to learn and refine their walking abilities. The opening of the robot park comes as part of Apptronik's broader mission to advance humanoid robotics technology, driven by the increasing demand for automation and intelligent machines in various industries. By leveraging extensive data and innovative training methods, the facility is expected to significantly accelerate the development of robots that can perform complex tasks in real-world environments.
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Genesis AI Launches Unique Non-Human Robot Eno Backed by Former Google CEO
Genesis AI, a French startup backed by former Google CEO Eric Schmidt, has introduced Eno, a non-humanoid robot engineered for practical use in various industries. Unveiled recently, Eno distinguishes itself from traditional humanoid robots with its wheeled base and foldable panels, emphasizing mobility and adaptability for tasks in manufacturing and logistics. The startup's mission is to transform robotic design by prioritizing functionality over human-like features, aiming to enhance efficiency in real-world applications.
Robotics AI Industrial Automation Non-Humanoid Robots
Google Sues AI-Powered Cybercrime Network Outsider Enterprise Over Mass Phishing Operation
Google has initiated legal action against Outsider Enterprise, a suspected Chinese cybercrime organization, for allegedly running a sophisticated phishing operation that has reportedly defrauded victims of approximately $1.9 billion across 95 countries since July 2023. The lawsuit highlights the network's use of artificial intelligence to create and manage over one million fraudulent websites, alongside the distribution of 2.5 million scam text messages. This significant legal move underscores the growing concerns over cybercrime and the challenges posed by advanced technology in facilitating such illicit activities.
AI AI Funding & Investment AI Policy & Regulation AI-driven platform capital markets funding
Google’s DiffusionGemma delivers 4x faster text generation using parallel decoding
Google has introduced DiffusionGemma, an innovative experimental AI model designed to generate text through a diffusion-based approach. This announcement was made recently as part of the company's ongoing efforts to advance artificial intelligence technologies. The model aims to enhance the capabilities of AI in natural language processing by leveraging diffusion techniques, which have shown promise in generating high-quality text outputs. Google’s initiative reflects its commitment to pushing the boundaries of AI research and development, seeking to improve user interactions with technology. The unveiling of DiffusionGemma marks a significant step in the evolution of AI, showcasing how advanced methodologies can be applied to create more sophisticated and contextually aware text generation systems.
AI and Robotics
NVIDIA Accelerates Google DeepMind’s DiffusionGemma for Local AI
Google DeepMind has unveiled DiffusionGemma, an experimental open model designed for rapid text generation. This innovative model is optimized by NVIDIA to achieve enhanced performance on NVIDIA GeForce RTX GPUs and the NVIDIA RTX PRO platform. The release, which took place today, aims to push the boundaries of text generation technology, providing users with a tool that can produce content at unprecedented speeds. By leveraging advanced GPU capabilities, DiffusionGemma seeks to meet the growing demand for efficient and high-quality text generation solutions in various applications.
Microsoft and Google are late to AI coding, but 'absolutely critical' they compete for growth
Google and Microsoft are intensifying their focus on coding tools as they seek to compete with leading AI companies Anthropic and OpenAI. This strategic shift comes in response to the growing demand for advanced programming assistance and the rapid advancements made by their rivals in the artificial intelligence sector. As of October 2023, both tech giants are investing heavily in developing and enhancing their coding capabilities to attract developers and businesses looking for innovative solutions. By leveraging their extensive resources and expertise, Google and Microsoft aim to establish a stronger foothold in the AI-driven coding landscape, ultimately striving to offer more efficient and effective tools that can streamline the software development process.
Fanuc, Google advance industrial robotics as part of recent AI deals
Kawasaki has launched a new center in Silicon Valley aimed at enhancing collaboration in physical artificial intelligence between the United States and Japan. This initiative reflects the company's commitment to fostering innovation and technological partnerships across borders. Meanwhile, Stellantis is set to collaborate with Accenture and Nvidia to develop digital twin technology, which will enable the creation of virtual replicas of physical assets for improved operational efficiency and decision-making. Both developments highlight the growing emphasis on advanced technology and international cooperation in the automotive and AI sectors.
Google joins Japanese robotics giant to power next-gen autonomous factory robots
Google has partnered with FANUC America Corporation, a leading Japanese robotics company, to enhance the development of Physical AI technology. This collaboration aims to integrate advanced artificial intelligence into robotics, enabling machines to better understand and interact with the physical world. The announcement was made recently, signaling a significant step forward in the field of robotics and AI. By combining Google’s expertise in AI and machine learning with FANUC's extensive experience in automation and robotics, the two companies seek to create more intelligent and adaptable robotic systems. This initiative is driven by the growing demand for automation in various industries, as businesses look to improve efficiency and productivity through innovative technologies. The partnership is expected to leverage cutting-edge research and development, paving the way for breakthroughs in how robots operate and collaborate with humans in diverse environments.
Google rolls out Gemini Omni Flash for autonomous video creation across apps
Google has initiated the rollout of its latest multimodal AI model, Gemini Omni Flash, which is designed to enhance user interactions across various platforms. This launch began in October 2023 and aims to integrate advanced AI capabilities into Google's suite of services. The motivation behind this development is to provide users with a more seamless and efficient experience by allowing the model to process and respond to inputs in multiple formats, including text, images, and voice. By leveraging cutting-edge technology, Gemini Omni Flash is expected to significantly improve the way users engage with Google's applications, making interactions more intuitive and responsive. The rollout is part of Google's ongoing commitment to innovation in artificial intelligence, positioning the company at the forefront of the AI landscape.
FANUC partners with Google to advance physical AI in its robots
FANUC has experienced a surge in customer interest following the launch of its physical AI system at the IREX exhibition in Tokyo. This heightened demand has prompted the company to collaborate with tech giants Google and NVIDIA to enhance the capabilities of its robotic systems. The partnership aims to leverage advanced AI technologies to improve the functionality and efficiency of FANUC's robots, positioning the company at the forefront of innovation in the robotics industry.
Artificial Intelligence Artificial Intelligence / Cognition Collaborative Robots Controllers Design / Development Industrial Robots
I'm Buying Reddit Despite The Google Headwind. Here's Why
Amrita Roy, an investment analyst, has reaffirmed her "buy" rating for Reddit (NYSE: RDDT) despite concerns surrounding a recent overhaul of Google Search. Following Google's announcement at its I/O 2026 developer conference, Reddit's stock experienced a 5.5% decline. However, Roy highlights that Reddit's AI-powered search capabilities and strong advertising revenue growth, with Q1 FY26 revenue increasing by 69% year-over-year, position the company favorably. Although Google Search accounts for 40-50% of Reddit's traffic, most of these users are logged out, which limits potential monetization risks from any declines due to the search updates. Analysts project a 46.5% revenue growth and an 89% increase in earnings per share for FY26, with a forward price-to-earnings ratio of 20.9 and a potential upside of 53% to the average price target. Roy, who leads a family office fund in Vancouver, emphasizes the importance of investing in sustainable, growth-oriented companies and aims to provide accessible financial insights through her award-winning newsletter, The Pragmatic Optimist.
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Google’s Genie world model can now simulate real streets with Street View
Google DeepMind is set to enhance its Project Genie by integrating it with Street View, aiming to develop immersive and interactive world simulations. This innovative initiative will enable users to explore diverse environments, experience dynamic weather changes, and encounter rare scenarios. The integration is part of DeepMind's broader effort to advance applications in robotics, gaming, and travel, providing a more engaging and realistic experience for users. The project is expected to leverage the extensive data from Street View to create detailed and responsive virtual landscapes, making it easier for developers and users alike to engage with these simulations in meaningful ways.
AI Robotics genie 3 Google Google I/O google io 2026
Google Search as you know it is over
Google is set to revolutionize its Search functionality by integrating artificial intelligence, moving away from traditional link-based results to a more interactive and conversational experience. This transformation, which is expected to roll out in the coming months, aims to provide users with direct answers and engage them through autonomous agents and dynamic interfaces. The shift is driven by the company's goal to enhance user engagement and streamline information retrieval. However, this innovation raises concerns among publishers, as it could lead to a significant decrease in web traffic directed to their sites, potentially impacting their revenue streams. As Google continues to refine its AI capabilities, the implications for content creators and the broader digital landscape remain to be seen.
AI Apps Google Google Search AI search google io 2026Robotics needs a service framework.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
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