University of Illinois ECE doctoral candidate Hyungyo Kim has been named a 2026 ML and Systems Rising Star by MLCommons, an ...

While large language model (LLM) training dominated the first phase of artificial intelligence (AI), inference is eventually ...

Anthropic Claude provides open access to their system-wide prompt. I analyze the portions dealing with AI mental health ...

There has been a lot of buzz about Moltbook recently. It’s the site where LLM agents can interact to . . . pretty much do anything. People are worrying about it being a possible step on the way to AGI ...

The expansion of large language models (LLMs) is creating a new problem for power grids: electricity demand from AI data ...

LLMs can’t replace core software development skillsBy Peter Wiles, Managing Director at Chillisoft Solution ServicesIssued by Chillisoft Solution ServicesJohannesburg, 27 May 2026 Peter Wiles, ...

From proactive routines to context-aware automation, here are eight home AI features that do things no chatbot can pull off.

AI scientists have improved leaps and bounds in the last few years but there are still some significant concerns and limitations.

Scientists rethink their ideas after experiments. AI agents struggle to learn from evidence and recognize when an idea is ...

Artificial intelligence cloud operator CoreWeave Inc. today announced the launch of a new offering that gives enterprise ...

Artificial intelligence (AI) was not a formal or informal part of my graduate school training, yet AI is increasingly ...

Is it the same this time, or do artificial intelligence (AI) and vibe coding upend the game? More generally, can AI and software engineering enter into a successful marriage? Are we about to witness ...