Machine learning, the subset of artificial intelligence that teaches computers to perform tasks through examples and experience, is a hot area of research and development. Many of the applications we ...

Self-supervised models generate implicit labels from unstructured data rather than relying on labeled datasets for supervisory signals. Self-supervised learning (SSL), a transformative subset of ...

Unsupervised Learning is often considered more challenging than supervised learning because there is no corresponding response variable for each observation. In this sense, we’re working blind and the ...

To make movement and foraging decisions in a naturalistic environment, multiple neural populations must work synergistically to produce successful actions. These decisions span multiple scales, from ...

In the fast-evolving landscape of artificial intelligence, two concepts often spark vigorous debate among tech enthusiasts: Generative AI and Artificial General Intelligence (AGI). While both promise ...

SYDNEY — Artificial intelligence has made headlines for writing essays, generating art, and even passing medical exams. However, most AI systems today still require extensive human guidance to ...

In the vast expanse of the universe, galaxies collide, merge, and reshape themselves in a cosmic dance governed by gravity. Now, researchers have taken inspiration from this celestial phenomenon to ...