Tech Xplore on MSN
Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...
4don MSN
Science Is Drowning in AI Slop
Peer review has met its match.
The National Institutes of Health failed to protect brain scans that an international group of fringe researchers used to ...
Artificial intelligence is increasingly used as a tool in many health care settings, from writing physicians' notes to making ...
An analysis of over 41 million research papers from the past 40 years has revealed that researchers who use artificial ...
Researchers have conducted the comprehensive review of recent advances in multimodal natural interaction techniques for ...
Tech Xplore on MSN
MorphoChrome pairs software with handheld device to make everyday objects iridescent
Gemstones like precious opal are beautiful to look at and deceivingly complex. As you look at such gems from different angles ...
DeepMind COO Lila Ibrahim discusses building powerful AI with care, ethics and a long-term focus on human impact.
As well as playing against themselves and fellow AI agents, the LLMs played against 2,000 experienced human players. They were evaluated based on how well they kept track of what was going on. For ...
Live Science on MSN
AI can develop 'personality' spontaneously with minimal prompting, research shows. What does that mean for how we use it?
When large language models (LLMs) are allowed to interact without any preset goals, scientists found distinct personalities emerged by themselves.
University-based science parks could become highly attractive sites for deeper engagement with industry, venture capitalists, ...
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