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 ...

Understanding how a tumor evolves against the attack of the immune system is one of the greatest challenges in modern ...

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

WiMi Studies Quantum Hybrid Neural Network Model to Empower Intelligent Image Classification BEIJING, Jan. 15, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global ...

Vention says that more than 25,000 of its robots are deployed in over 4,000 facilities worldwide. According to BetaKit, the ...

Deep neural networks (DNNs) have become a cornerstone of modern AI technology, driving a thriving field of research in ...

Bridget McCormack is used to correcting judges’ work. As the former chief justice on the Michigan Supreme Court, it was her ...

According to the Allen Institute for AI, coding agents suffer from a fundamental problem: Most are closed, expensive to train ...

When materials become just one atom thick, melting no longer follows the familiar rules. Instead of jumping straight from solid to liquid, an unusual in-between state emerges, where atomic positions ...

Nvidia’s latest pitch for the future of graphics is not about more polygons or higher memory bandwidth, it is about teaching GPUs to imagine. At CES 2026, Nvidia CEO Jensen Huang argued that neural ...