Open Source

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. ...

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. ...

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. ...

Apple Plans Major Siri AI Overhaul for 2026 with Advanced Conversational AI Apple is set to revolutionize its virtual assistant with a major Siri overhaul planned for spring 2026, marking a pivotal moment in its evolving AI strategy. This significant update aims to make Siri more conversational and capable of executing complex, multi-step tasks. Reports suggest Apple may partner with AI leaders, potentially integrating powerful technologies like Google’s Gemini to bolster Siri’s capabilities. This strategic move follows a period of perceived caution from Apple in the generative AI race, which has allowed the company to build substantial cash reserves for future development. The revamped Siri will be deeply integrated across Apple’s ecosystem, including the iPhone, HomePod, and Apple TV, to deliver a seamless and intelligent user experience, positioning Apple to compete more effectively in the rapidly advancing AI landscape. ...

SoftBank’s $4B DigitalBridge Acquisition to Supercharge AI Infrastructure SoftBank Group has announced a definitive agreement to acquire digital infrastructure asset manager DigitalBridge Group for approximately $4 billion. This strategic acquisition is designed to significantly strengthen SoftBank’s position in the AI sector. By gaining control over critical digital assets like data centers, cell towers, and fiber networks, SoftBank aims to build the necessary infrastructure for training and deploying advanced AI models on a global scale, advancing its goal of achieving Artificial Super Intelligence (ASI). The transaction is expected to close in the second half of 2026, with DigitalBridge continuing to operate as a separately managed platform under its current CEO, Marc Ganzi. ...

The Physical AI Revolution: Transforming Robotics and Autonomous Vehicles A new wave of Physical AI is transforming the capabilities of robots and autonomous vehicles, marking a significant shift in artificial intelligence. This evolution enables machines to interact with and navigate the real world with greater autonomy. Major tech companies are heavily investing in this area, with Nvidia’s Cosmos platform developing foundational models for robots and autonomous vehicles. Similarly, Waabi Innovation Inc.’s Waabi World is a simulated environment designed to train AI for autonomous trucks on diverse road conditions. The financial commitment to this sector is substantial, with over $6 billion invested in robotics companies in the first seven months of 2025 alone. Nvidia’s Drive Thor platform, set for production in 2025, has already been adopted by major automakers including Mercedes-Benz, Jaguar Land Rover, and Volvo. ...

Generative AI Advances with Multimodal Models and Agentic Systems The field of generative artificial intelligence, powered by large language models (LLMs), is experiencing rapid advancements in scalable and instruction-following multimodal foundation models and agentic AI applications. Progress is being driven by developments in alignment techniques, retrieval-augmented generation (RAG) architectures, and fine-grained controllability in generative tasks. Key areas of innovation include diffusion-based video generation, synthetic avatars, and goal-driven multi-agent collaboration. In response to these advancements, regulatory attention is increasing, with the EU’s AI Act, effective in 2025, mandating security-by-design for AI systems. The industry is also moving towards standardization, with OpenAI co-founding the Linux-based Agentic AI Foundation to standardize intelligent agents. Real-world applications are emerging in various fields, such as pharmaceuticals, where generative models are being used to design drug candidates and biosensors, significantly reducing design cycles. ...