Cloud Infrastructure

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. ...

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. ...

JPMorgan Mandates AI Coding Tools, Links Adoption to Performance Reviews JPMorgan Chase is taking a firm stance on artificial intelligence, now requiring its software engineers to integrate AI tools into their daily workflow. This new directive is directly tied to employee performance reviews. The bank has rolled out new performance objectives for its 65,000-strong Global Technology team, with the explicit goal of achieving measurable improvements in code quality, speed, and overall productivity. To ensure compliance, JPMorgan is using internal dashboards to monitor the adoption and usage frequency of AI coding assistants like GitHub Copilot. This move aligns with a broader industry trend, as tech giants like Google, Meta, and Amazon also incorporate AI tool usage into their performance metrics. Engineers who fail to adopt these tools may face a lower performance rating. ...

This edition of our tech news digest covers major advancements from IBM’s quantum computing labs, new visual tools for Kubernetes security and governance, and a key partnership aimed at accelerating AI in robotics. Google DeepMind and Agile Robots Partner to Advance AI in Robotics In a significant move for intelligent automation, Google DeepMind and Agile Robots have announced a partnership to advance the integration of AI in robotics. This collaboration aims to create more adaptable and intelligent robotic systems. Other key developments include new research suggesting quadruped robots could serve as astronaut assistants on future space missions, and an innovative AI system from MIT designed to optimize traffic flow for warehouse robots. ...

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. ...

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. ...

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. ...

Nuro Tests Self-Driving Cars in Tokyo, Marking First International Expansion U.S. self-driving startup Nuro has commenced testing its autonomous vehicles on public roads in Tokyo, representing the company’s first international deployment. The vehicles are currently operating with safety drivers present. This expansion is notable as Nuro claims its system did not require pre-training on local Japanese driving data, a capability it refers to as “zero-shot” autonomy. The company’s technology is designed to learn the fundamental principles of safe driving, allowing it to adapt to new environments like Tokyo’s dense and complex streets, which feature left-side driving and different traffic patterns from the U.S. Backed by investors including Nvidia and Toyota, Nuro has established a local office and deployed a small number of test cars to begin data collection. The company is also partnered with Uber and Lucid Group. ...

Agentic AI Takes Center Stage, Shifting Focus from Generative Models In March 2026, the artificial intelligence landscape is undergoing a pivotal shift from generative AI to more autonomous, agentic AI systems. These advanced AI agents are engineered to execute complex, multi-step workflows with minimal human oversight, fundamentally transforming business operations. This trend is highlighted by the release of new models like OpenAI’s GPT-5.4, which features native computer-use capabilities, allowing it to interact directly with software interfaces. The industry’s focus is evolving from experimentation to implementation, embedding AI as an invisible infrastructure within enterprise environments. Upcoming events like NVIDIA’s GTC 2026 are also expected to heavily feature agentic and physical AI. ...

Samsung Enters AI Smart Glasses Market with Project HAEAN Samsung has officially announced its entry into the AI smart glasses market with ‘Project HAEAN’, revealed at MWC 2026. The device will feature an eye-level camera and connect to a smartphone for processing, a design choice aimed at keeping the glasses lightweight. Positioned as a direct competitor to Meta’s Ray-Ban glasses, which currently dominate the market, Samsung’s offering is slated for a 2026 launch. The smart glasses are being developed in partnership with Qualcomm and Google, leveraging their respective expertise in chips and AI. This move from Samsung is expected to significantly intensify competition in the nascent AI smart glasses sector. ...