Google's updated machine learning crash courses include new modules on LLMs and AI, aiding understanding of how search ...

Multi-agent AI is rapidly emerging. A dominant approach entails having one AI agent as the orchestrating leader. This is ...

Parallels between our brains and vector databases go deeper than retrieval. Both excel at compression, organizing and identifying patterns.

Cutting back on animal protein in our diets can save on resources and greenhouse gas emissions. But convincing meat-loving ...

A multi-institutional trio of roboticists has designed and built a robot that mimics the abilities of the dung beetle. In ...

The daisy world model describes a hypothetical planet that self-regulates, maintaining a delicate balance involving its ...

A novel machine learning model called Temporal Autoencoders for Causal Inference (TACI) accurately detects changing cause-and ...

Stanford engineers are testing foods using an approach that combines a three-dimensional mechanical technique and AI to mimic ...

It takes years of intense study and a steady hand for humans to perform surgery, but robots might have an easier time picking ...

Hinton moved to the University of Toronto in 1987 and began attracting young researchers who wanted to study neural networks.

Affective computing, which aims to understand and replicate human emotions, has made notable progress with the help of deep ...

A big segment of Uganda’s population that one could describe as middle class today grew up in average-income families and in ...