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20 published articles
Artificial intelligence is the field of creating computer systems that perform tasks associated with human learning, reasoning, perception and language. It includes machine learning, generative models, robotics, computer vision and decision systems. AI is used across science, industry and public services, raising questions about reliability, safety, privacy, fairness and accountability.
SK hynix chief executive Kwak Noh-jung has forecast that the AI-driven memory supply crunch could persist through the end of 2030, underscoring how advanced packaging capacity has become as important as chip fabrication.
Okta’s latest results have put AI-agent identity security in the spotlight, but the opportunity also exposes how poorly prepared many enterprises are to control autonomous software with access to critical systems.
A federal court has voided the Pentagon’s supply-chain-risk designation against Anthropic, finding that the government’s broad restrictions unlawfully retaliated against the AI developer over its proposed limits on military use.
Rising evidence that AI agents can automate parts of cyber operations makes limited US-China cooperation more necessary, but rivalry and distrust still constrain what is politically realistic.
Bank of America’s renewed bullish call on Nvidia rests on exceptional earnings and an argument that investors are discounting the company’s expanding role in financing AI infrastructure too heavily.
OpenAI’s latest account of the July 2026 Hugging Face intrusion clarifies the attack sequence, but important questions about oversight, impact and future safeguards remain unresolved.
Recent incidents involving autonomous AI agents show that cybersecurity must now account for systems that can discover, chain and act on attack paths at machine speed.
Symbolic weddings with AI companions are becoming more visible, while US lawmakers are using the issue to test a broader boundary between human relationships, legal status and machine responsibility.
NVIDIA has confirmed partnerships with six major financial firms aimed at mobilising more than $500 billion of third-party capital for AI infrastructure, although the arrangements remain subject to final agreements.
AMD’s planned acquisition of Taalas is a bet that highly specialised, model-specific chips can make selected AI inference workloads faster, cheaper and less power-intensive than general-purpose accelerators.
The rapid expansion of data centers has turned artificial intelligence from an abstract technology debate into a practical political conflict over electricity, water, land and public accountability.
The White House has completed a voluntary framework for pre-release access to certain advanced AI models, but has not published its rules, leaving its practical scope and safeguards unclear.
