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 ...

A new computational model of the brain based closely on its biology and physiology not only learned a simple visual category ...

Researchers at TU Wien are developing a model that interprets opinions not as diametrically opposed poles, but as overlapping ...

The University of Cincinnati (UC) has launched its own artificial intelligence (AI) platform. Known as BearcatGPT, the ...

There have been some pretty public failures in the wearable AI arena, but Apple's pin might change all of that. Here's what ...

Google expanded "Personal Intelligence" this week to support and interact with agentic systems. The technology analyzes ...

Introduction: In the global manufacturing competition, custom parts sourcing in India faces a number of challenges in terms ...

Tharimmune (THAR) builds a Canton Coin digital asset treasury with $545 million raised. Read here for a detailed investment ...

Google launched "Personal Intelligence" this week to support and interact with agentic systems. The technology analyzes ...

The Infocomm Media Development Authority has released a guide to help enterprises deploy AI agents safely and address specific risks such as unauthorised actions and automation bias ...

“One of the basic axioms of the rational theory of decision under uncertainty is Savage’s (1954) sure-thing principle (STP).

Training artificial intelligence models is costly. Researchers estimate that training costs for the largest frontier models ...