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 ...

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 ...

NASA astronomers used AI to examine Hubble Legacy Archive data, identifying over 1,300 unusual galaxies and other anomalies, including gravitational lenses and mergers.

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 ...

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

Helix, the AI brain powering Figure’s humanoid robots, has been upgraded to its most ...

Temporal #4 hits stores Wednesday! Reality unravels as a second Earth appears and family secrets threaten to destroy ...

SM-GNN prunes multi-view GNNs to pure propagation, cutting training time while outperforming prior MKGC accuracies on two ...

New research from the University of St Andrews, the University of Copenhagen and Drexel University has developed AI computational models that predict the degeneration of neural networks in amyotrophic ...

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 ...