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MIT Creates New Framework to Test Ethical AI and Autonomous Systems Researchers at MIT have created a new testing framework to assess whether recommendations from autonomous systems align with human-defined ethical principles. As AI is increasingly used for decision-making in critical areas like power grid management, ensuring these systems operate with fairness and equity for all individuals and communities is paramount. The framework is designed to pinpoint specific situations where an AI decision-support system may be exhibiting unfair treatment. This development addresses the growing need for robust methods to evaluate the ethical implications and ensure the responsible deployment of autonomous systems in high-stakes environments. ...

WeRide & Grab Launch Singapore’s First Public Robotaxi Service WeRide and Grab have officially launched Singapore’s first public autonomous ride-hailing service, named Ai.R, in the Punggol district as of April 1, 2026. This launch follows a successful trial period that began in January 2026, during which the service catered to over 1,000 early riders and the fleet accumulated 30,000 kilometers of autonomous mileage. The service utilizes WeRide’s GXR and Robobus vehicle models. For the initial public phase, rides will be offered free of charge until mid-2026. The service operates on weekdays from 9:30 AM to 5:30 PM, with routes designed to connect residential areas with key local amenities. Each vehicle will have a certified safety operator on board, with remote operator training also in progress. ...

Artificial Intelligence & Machine Learning California’s New AI Regulations, Chipmaker Funding, and Scientific Breakthroughs The Artificial Intelligence and Machine Learning landscape has seen significant developments in the last 24 hours. Key updates include new AI regulatory measures in California, a major funding round for a South Korean chipmaker, new research on public perception of AI, and breakthroughs in high-temperature computing and quantum energy prediction. These advancements highlight the rapid evolution of AI technology and its growing impact on society and industry. ...

US Regulators Highlight AI’s Growing Role in Banking for Fraud Detection and Underwriting A U.S. House Financial Services subcommittee convened on March 26, 2026, to examine the integration of artificial intelligence within the financial sector. Testimonies from federal regulators, including the Federal Reserve and FDIC, revealed that banks are increasingly utilizing AI and machine learning for a variety of functions. These applications range from improving operational efficiency to enhancing fraud detection and anti-money laundering processes. Notably, AI is being used with cash flow data to assist in credit underwriting for individuals who might not have access to credit through traditional methods. The National Credit Union Administration has also launched an AI Resources page on its website to support credit unions in adopting these new technologies. ...

Zoox Robotaxi Service Expands to Austin, Miami & More San Francisco Neighborhoods Amazon’s autonomous vehicle company, Zoox, is significantly expanding its robotaxi service in the United States. The company is quadrupling its service area in San Francisco to include key neighborhoods like Chinatown, Marina, and Pacific Heights. In a major move, Zoox is also launching its autonomous driving technology in Austin, Texas, and Miami. This expansion is backed by impressive milestones, with Zoox having driven nearly 2 million autonomous miles and transported over 350,000 riders. In Las Vegas, the service will soon be available to popular destinations such as the Sphere and the Las Vegas Convention Center. Furthermore, Zoox has partnered with Uber to integrate its vehicles into the Uber app in Los Angeles by mid-2027, broadening its reach in the competitive ride-hailing market. ...

Pentagon Greenlights AI Model Training on Classified Data The Pentagon is moving forward with a plan to allow technology companies to train their artificial intelligence models on classified data. This initiative represents a significant step in advancing the U.S.’s defense technology capabilities. The strategy aims to accelerate AI development for national security purposes while navigating the complex challenges of juggling innovation with the protection of sensitive information. This move highlights the increasing integration of AI into critical defense infrastructure and the need for robust, adaptive cybersecurity measures to safeguard against potential risks. ...

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. ...

NVIDIA Advances Physical AI with Project GR00T for Humanoid Robots NVIDIA is accelerating the development of physical AI with the announcement of Project GR00T and the Cosmos world foundation model at its GTC 2026 conference. Project GR00T (Generalist Robot 00 Technology) is a general-purpose foundation model designed to empower humanoid robots to understand natural language and learn complex skills by observing human actions. To support this initiative, NVIDIA is releasing new simulation frameworks within Isaac Sim and new AI models. The company is deepening its partnerships with leading robotics firms like ABB Robotics, FANUC, KUKA, and YASKAWA, integrating its Omniverse and Isaac simulation platforms to develop and test sophisticated robot applications via digital twins. Furthermore, NVIDIA is collaborating with companies such as Skild AI and Workr to deploy AI-driven robotics for intricate manufacturing tasks like electronics assembly. ...

Breakthrough Hydrogen-Based AI Chip Mimics Human Brain for Self-Learning A research team from the Daegu Gyeongbuk Institute of Science and Technology (DGIST) has developed the world’s first two-terminal artificial intelligence semiconductor that utilizes hydrogen ions for self-learning and memory. This innovative technology precisely controls hydrogen ion injection and discharge with electrical signals, emulating the human brain’s ability to perform computation and storage simultaneously. Unlike conventional oxide-based memory devices that suffer from stability issues due to oxygen vacancies, this hydrogen-based approach resolves speed degradation and high power consumption in modern AI data processing. The neuromorphic semiconductor operates by changing its conductivity based on electrical signals and maintaining that state, similar to an artificial synapse. This breakthrough was achieved in a two-terminal vertical structure, which is advantageous for high-density AI chips due to its potential for high integration and simple manufacturing. The device has demonstrated high reliability, successfully running for over 10,000 repetitive operations. ...