Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.

In a short talk at Caltech, physicist Richard Feynman laid out a vision of manipulating and controlling atoms at the tiniest ...

Black holes — remnants of collapsed stars — have immense mass that curves spacetime so all paths lead inward. They also capture the popular imagination as sci-fi plot devices and metaphors for the ...

Applicants for fall 2026 admission to the master’s and PhD programs in computer science must complete the following steps no later than 10 p.m. MST on Dec. 15, 2025. All documents, including Letters ...

We are currently witnessing a mobilization of technical ambition reminiscent of the Manhattan Project, a realization that data and compute are the new defining elements of national power. I am deeply ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

A breakthrough study from Keck Medicine of USC may have found a powerful new triple therapy for glioblastoma, one of the deadliest brain cancers. By combining Tumor Treating Fields (TTFields), which ...

A field that features all green is a battle ground during the fall. The real grass turf field at Michigan State is one of a few natural grass fields left in college football. And this year, the team ...

Explore how backward induction helps solve game theory problems by working from the end backward to determine optimal actions. Learn with practical examples.