Despite the hype around AI-assisted coding, research shows LLMs only choose secure code 55% of the time, proving there are fundamental limitations to their use.

Medical artificial intelligence is a hugely appealing concept. In theory, models can analyze vast amounts of information, recognize subtle patterns in data, and are never too tired or busy to provide ...

They distract, a new report says, from the energy-gobbling chatbots and video generation that make up the core business.

As AI tools evolve at a rapid pace, smaller, more flexible learning environments are well-positioned to test new approaches, develop expectations, and adjust as needed.

As artificial intelligence applications proliferate across healthcare, the model context protocol is an emerging industry standard that defines how AI systems, large language models and agent-based ...

AI models are trained on massive amounts of data. But that training doesn’t do much good without what’s known as “reinforcement learning,” a process that involves human experts teaching models the ...

AI agents in 2026 rely on tools, memory, guardrails, and evaluation; learn to build safer and avoid common failures ...

The GRP‑Obliteration technique reveals that even mild prompts can reshape internal safety mechanisms, raising oversight concerns as enterprises increasingly fine‑tune open‑weight models with ...

An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence. Save this story Save this story Even the smartest artificial intelligence ...

Current AI models are unlikely to be able to make novel scientific breakthroughs, Thomas Wolf, co-founder of Hugging Face said. One major issue with models now is that they often agree with the person ...

Core Internet infrastructure will require greater redundancy and more sophisticated congestion management technologies to ...

Medical artificial intelligence is a hugely appealing concept. In theory, models can analyze vast amounts of information, ...