NVIDIA

France to Launch Self-Driving Bus Service in Châteauroux by September 2026 The first regular service of self-driving buses in France is scheduled to launch in September 2026 in the city of Châteauroux. These autonomous vehicles will operate on a 2.5km route in the city center with a capacity for eight passengers. The project is a collaboration with transport operator Kéolis, featuring buses manufactured by Renault and WeRide, with each vehicle costing between €250,000 and €300,000. This initiative aims to address the shortage of bus drivers, offer more flexible service in less populated areas, and improve economies of scale. ...

This week in technology, major partnerships are reshaping autonomous transport, NVIDIA is pushing the boundaries of physical AI, and new platforms are emerging for custom enterprise AI. We also cover key developments in Kubernetes optimization, quantum computing milestones, and a significant acquisition in the open-source community. Here’s what you need to know. Uber and Rivian Partner for 50,000-Vehicle Autonomous Robotaxi Fleet In a landmark partnership set to reshape urban mobility, Uber and Rivian have announced a collaboration to launch a massive fleet of up to 50,000 fully autonomous R2 robotaxis. This initiative aims to accelerate the autonomous vehicle roadmaps for both companies, starting with an initial deployment of 10,000 vehicles. The first robotaxis are scheduled to launch in San Francisco and Miami in 2028, with an ambitious expansion plan targeting 25 cities by 2031. To support this, Uber will invest up to $1.25 billion in Rivian through 2031, contingent on achieving specific performance milestones. The Rivian R2 robotaxis will be available exclusively on the Uber platform. ...

Nissan, Uber, and Wayve to Launch AI-Powered Robotaxi Service in Tokyo Nissan Motor Co., Uber Technologies Inc., and Wayve Technologies Ltd. have entered into a partnership to develop and launch a robotaxi service in Tokyo. The collaboration will utilize Nissan’s LEAF electric vehicles equipped with Wayve’s AI-powered autonomous driving system, which will be accessible to passengers through the Uber ride-hailing app. A pilot program is scheduled to begin in Tokyo by late 2026, initially with human safety operators present in the vehicles. This initiative marks Uber’s first venture into autonomous vehicle services in Japan and is part of a broader plan to introduce robotaxis in over ten major cities globally, including London. The partnership aims to address challenges such as driver shortages and improve the efficiency of urban transportation. ...

NVIDIA & Eli Lilly Launch $1B AI Drug Discovery Venture to Revolutionize Medicine In a landmark move for the biopharmaceutical industry, NVIDIA and Eli Lilly have announced a joint AI drug discovery lab, backed by a planned investment of up to $1 billion over five years. This collaboration aims to transform key aspects of drug development into a precise engineering discipline. By leveraging high-performance computing and specialized AI agents, the partnership will accelerate research and development. The initiative will operate on a ‘scientist in the loop’ model, where advanced AI supports and enhances the work of human researchers, marking a significant milestone for AI’s role in medicine. ...

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 Breakthrough: New Molecule Boosts Pancreatic Cancer Chemotherapy In a significant advancement for AI in healthcare, researchers have developed a molecule using artificial intelligence that dramatically improves chemotherapy effectiveness for pancreatic cancer. The AI-generated aptamer, named Apt1, works by disrupting DNA repair mechanisms within cancer cells. This targeted action makes tumors more susceptible to chemotherapy drugs like olaparib, even at lower dosages. This breakthrough highlights the immense potential of AI in drug discovery and creating novel treatments for aggressive cancers by precisely targeting cellular processes. ...

New AI System Enhances At-Home Balance Training for Physical Therapy Researchers at the University of Michigan have developed a new machine learning model to support home-based balance training for physical therapy patients. The system utilizes data from four wearable sensors to predict how a physical therapist would assess a patient’s performance on balance exercises. This AI-driven feedback can help patients make faster progress and maintain their abilities after their formal therapy sessions have concluded. The model was developed by training convolutional neural networks with sensor data and evaluations from physical therapists, achieving nearly 90% accuracy in predicting patient balance ratings. The technology aims to make balance training more accessible, particularly for those in rural areas, and to assist physical therapists in making healthcare decisions. ...

Galbot Unveils DexNDM & NavFoM: Major Breakthroughs in Embodied AI for Robotics Robotics firm Galbot has announced two significant technological advancements in embodied intelligence: DexNDM and NavFoM. DexNDM is a neural dynamics model designed to enhance robotic dexterous manipulation, enabling robots to perform high-precision, in-hand rotations of various objects. NavFoM is presented as the world’s first cross-embodiment, cross-task navigation foundation model, allowing robots to autonomously perform complex tasks in diverse environments. These innovations, developed with Tsinghua and Peking University, integrate DexNDM into a teleoperation system for intricate tasks like tightening screws with high-level human commands. These advancements are poised to revolutionize industries like manufacturing, logistics, and healthcare by improving the adaptability and efficiency of robots in real-world settings. ...

China’s DePTH-GPT: A New AI Model to Revolutionize Deep-Sea Research A team of Chinese scientists has launched a new artificial intelligence model named DePTH-GPT to advance deep-sea exploration. The model utilizes a combination of AI technologies, including deep learning, large language models, and computer vision, to analyze a wide range of data from the deep ocean such as video, topography, and bioacoustics. This new tool is expected to shift deep-sea research from traditional qualitative analysis to a more intelligent and predictive approach. DePTH-GPT has already been used to create an intelligent cognitive system for a seamount and a hydrothermal vent field. Developed as part of the UN Decade of Ocean Science for Sustainable Development, the model will be made available to global research institutions to create cognitive systems for various deep-sea habitats. ...