Cloud Infrastructure

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. ...

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. ...

March 2026 Tech News: AI Agents, Kubernetes 1.36, and Quantum Leaps AI Industry Shifts Focus to Autonomous Agents and Advanced Hardware The artificial intelligence sector is undergoing a significant transition, moving from generative assistance models to autonomous agentic systems capable of executing complex, multi-step workflows. This evolution towards more sophisticated ‘digital coworkers’ is exemplified by the development of models like GPT-5.4. Concurrently, the industry is preparing for a major leap in hardware with Nvidia expected to unveil its new ‘Rubin’ platform, which promises a generational advancement in computing power for AI. These developments are occurring as the financial and physical sustainability of the current AI infrastructure boom faces increased scrutiny, sparking debates on the required capital investment and growing local opposition to new data centers due to environmental concerns. ...

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. ...

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. ...

Agentic AI Integration Accelerates in Desktop and Creative Software The trend of agentic AI is accelerating as major tech companies embed these autonomous AI agents into everyday software. Anthropic has launched ‘Claude in Chrome,’ allowing the AI to connect to a user’s session to perform actions across the web. The company has also introduced Claude integrations for Excel and PowerPoint. Similarly, OpenAI has released a standalone Codex application for Mac and ‘ChatGPT for Excel,’ both powered by its latest models. These desktop-native AI tools are experiencing rapid growth, with OpenAI’s Codex reaching two million weekly active users in early March. This shift signifies a move for AI from a content generator to a powerful workflow automator capable of executing complex, multi-step tasks. ...

IIT Kharagpur Launches New School for Applied AI to Boost Industry Innovation The Indian Institute of Technology (IIT) Kharagpur has announced the launch of its new School of Digital Engineering, Applied Artificial Intelligence, and Machine Learning. This new school is designed to be a premier hub for research and innovation, with a strong focus on industry integration to promote the real-world application of AI technologies. According to the institution’s director, Suman Chakraborty, this initiative represents a significant shift in institutionalizing applied AI. The ultimate goal is to position IIT Kharagpur as a leading global center for developing responsible and sovereign AI for key sectors like healthcare and manufacturing. ...

AI News: Anthropic Alleges Data Theft & Samsung Unveils Gemini-Powered S26 The AI sector is buzzing with significant developments, led by a serious accusation from Anthropic. The company has identified and taken action against coordinated campaigns by three Chinese AI labs to improperly access and learn from its Claude AI. The labs allegedly involved are: DeepSeek Moonshot AI MiniMax These labs reportedly created over 24,000 fraudulent accounts to generate more than 16 million interactions with Claude. The efforts were aimed at ‘model distillation,’ a technique used to transfer the capabilities of a more advanced model to a new one. Anthropic noted the campaigns specifically targeted Claude’s key strengths in agentic reasoning, coding, and tool-use. ...