For example, a Convolutional Neural Network (CNN) trained on thousands of radar echoes can recognize the unique spatial signature of a small metallic fragment, even when its signal is partially masked ...

Across the physical world, many intricate structures form via symmetry breaking. When a system with inherent symmetry ...

Here's a use of AI that appears to do more good than harm. A pair of astronomers at the European Space Agency (ESA) developed ...

The AI model rapidly maps boundary conditions to molecular alignment and defect locations, replacing hours of simulation and ...

Kimi has a standard mode and a Thinking mode that offers higher output quality. Additionally, a capability called K2.5 Agent ...

Dinosaur footprints are not perfect snapshots of the feet that made them. AI techniques from photon science can help identify ...

One of the most striking outcomes of the surface-minimization framework is its ability to explain structural features that ...

A new report out today from PitchBook Data Inc. offers a cautiously optimistic outlook for U.S. venture capital-backed ...

Using a brand new data analysis tool, astronomers identified more than 800 strange and previously undocumented space objects.

Researchers at Chungnam National University have developed a deep learning method that predicts stable defect configurations in nematic liquid crystals in milliseconds rather than hours. This rapid ...

Mark and Stacey need an engineer for their magic starship, and Bobby just got kicked out of the military. Perfect timing!

How do electrical signals become "about" something? Through purely physical processes, neural networks transform activity ...