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Why Automotive Executives Are Pivoting to Humanoid Robotics A significant trend is emerging as top executives from the automotive industry transition into the field of embodied intelligence and humanoid robotics. This migration of talent brings invaluable experience in mass production, system integration, and resource mobilization to the burgeoning robotics sector. Startups led by former auto executives are attracting major investment. For instance, AI² Robotics, founded by a former XPENG chief scientist, has achieved unicorn status with a valuation exceeding $1 billion. Similarly, Zhijian Power, founded by former Li Auto executives, secured $50 million in an angel funding round. This convergence is fueled by the technological overlap between smart cars—often called “wheeled robots”—and humanoid robots. Major automakers are also investing heavily, with Tesla targeting mass production of its Optimus robot by late 2026 and XPENG planning to volume-produce its IRON robot in the same year. ...

Apple Partners with Google to Power Siri with Gemini AI In a landmark deal, Apple has announced a multi-year collaboration with Google to integrate the powerful Gemini AI models into its Siri voice assistant. This partnership is set to bring a new wave of services and more personalized experiences to Apple’s devices. The core AI foundation will be hosted on Google’s infrastructure, while Apple maintains strict control over user devices and privacy. This strategic move allows Apple to rapidly scale its AI capabilities. The deal provides Google’s Gemini access to Apple’s extensive ecosystem of over 2 billion devices, positioning it as the primary intelligence layer for Siri’s enhanced functionalities. This collaboration relegates OpenAI’s ChatGPT to a more secondary role, handling specific, complex queries on an opt-in basis. ...

Global AI Spending to Reach $2.5 Trillion in 2026, Gartner Predicts According to a new forecast from Gartner, Inc., worldwide spending on artificial intelligence is projected to hit $2.52 trillion in 2026, a significant 44% increase from the previous year. The report identifies the build-out of AI foundations as a primary driver for this growth, with AI-optimized servers accounting for 17% of the total and AI infrastructure expected to contribute an additional $401 billion. ...

Google’s Gemini Outpaces ChatGPT in Desktop User Growth Venture capital firm Andreessen Horowitz partners predict a highly competitive AI landscape for 2026, noting that Google’s Gemini is experiencing faster growth in desktop users compared to OpenAI’s ChatGPT. While ChatGPT still maintains a dominant position with a larger user base, Gemini has reportedly reached 35% of ChatGPT’s web scale and 40% on mobile devices. The deep integration with Google’s extensive ecosystem and its advanced video and image capabilities are considered key potential advantages for Gemini in the coming year. ...

Roborock Unveils Saros Rover, a Stair-Climbing Robotic Vacuum at CES 2026 Roborock, a global leader in home robotics, has introduced its latest product line at CES 2026, where it was recognized as the most awarded Robotic Vacuum Brand. The highlight of the announcement was the Saros Rover, presented as the world’s first robotic vacuum featuring an AI-powered wheel-leg architecture. This innovative design allows the vacuum to navigate stairs and slopes with human-like agility while simultaneously cleaning them. The keynote, led by Roborock’s President, Quan Gang, also unveiled other new products including the Roborock Saros 20, Roborock Saros 20 Sonic, Roborock F25 ACE Pro, and Roborock Qrevo Curv 2 Flow. These launches were made in partnership with the Real Madrid Football Club for the Vacuum Cleaner category. Additionally, Roborock announced its entry into the US market for lawnmower products with the new RockMow X1 LiDAR. Headquartered in Beijing, Roborock currently serves over 22 million households worldwide. ...

UAlbany and IBM Launch $20M Center for AI Systems Research The University at Albany and IBM have established a $20 million research partnership, the Center for Emerging Artificial Intelligence Systems, to accelerate scientific research across various academic disciplines. This collaboration provides university researchers with access to IBM’s cutting-edge AI hardware, including a cluster of IBM Spyre Accelerator chips. The center has already funded seven new research projects that leverage this technology to integrate AI into their respective fields. The partnership is uniquely positioned, with the university located near IBM’s Research AI Hardware Center where next-generation AI chips are developed. ...

AI & Machine Learning News This week’s digest covers major advancements in AI, from NOAA’s new AI-driven weather models to NVIDIA’s open-source tools for autonomous vehicles and Mobileye’s strategic move into humanoid robotics. Sources: NOAA Deploys New Generation of AI-Driven Global Weather Models NVIDIA’s Alpamayo: Open-Source AI for Autonomous Vehicle Reasoning NVIDIA has announced its Alpamayo family of open-source AI models and tools aimed at accelerating the development of safe and reasoning-based autonomous vehicles. The initial release, Alpamayo 1, is a vision-language-action (VLA) model with 10 billion parameters designed to help AVs understand and reason through complex and unpredictable driving scenarios. This “chain-of-thought” reasoning allows the vehicle to explain its driving decisions, a key factor for safety and scalability. Rather than running directly in the vehicle, Alpamayo models will serve as large-scale ’teacher’ models for developers to fine-tune their own AV stacks. The open-source nature of these tools, announced at CES 2026, is intended to foster innovation across the autonomous driving ecosystem. ...

Artificial Intelligence & Machine Learning NVIDIA Boosts Robotics and Autonomous Driving with New Open-Source AI Models NVIDIA has released a powerful suite of open-source artificial intelligence models, datasets, and development tools designed to accelerate advancements in robotics and autonomous driving. This release features the Nemotron model family for agentic AI, now with enhanced components for speech recognition and safety, alongside the Cosmos world foundation models for physical AI. These models improve perception and synthetic data generation. A standout component is the Alpamayo family, a vision-language-action model for reasoning-based autonomous driving, enabling vehicles to process and explain complex driving scenarios. Furthermore, NVIDIA introduced Isaac GR00T N1.6, an open vision-language-action model for humanoid robots that seamlessly integrates visual perception with action planning. To bolster development, the company also launched AlpaSim, an open-source simulation framework for rigorously evaluating autonomous vehicle models. ...

Artificial Intelligence & Machine Learning AgileRL Secures $7.5M for Reinforcement Learning & AMD Launches Ryzen AI This week in artificial intelligence, AgileRL secured $7.5 million in seed funding to accelerate reinforcement learning, with a goal of reducing training times by up to tenfold through advanced algorithmic optimizations. In AI hardware news, AMD has launched its Ryzen AI Embedded processor lineup, which integrates Neural Processing Units (NPUs) for efficient on-device AI inference in systems like industrial PCs and robotics. These processors are engineered for high performance-per-watt and offer long-term support for original equipment manufacturers (OEMs). ...

AI Model ‘SleepFM’ Predicts Future Disease Risk from a Single Night’s Sleep Researchers have developed a groundbreaking artificial intelligence foundation model, named SleepFM, that can predict the future risk of various diseases by analyzing data from a single night’s sleep. A study published in Nature Medicine details how the model was trained on over 585,000 hours of polysomnography (PSG) data from approximately 65,000 individuals. SleepFM has demonstrated a remarkable ability to predict the risk of numerous conditions—including dementia, heart failure, chronic kidney disease, and mortality—years before a clinical diagnosis might occur. The model analyzes complex physiological signals captured during sleep to identify patterns indicative of a predisposition to future health issues. This innovative approach could serve as a powerful early warning system, enabling proactive healthcare and early disease detection. ...