Instead of creating a false binary between thoughts and emotions, we need a practical framework for understanding how they ...

The quantum-AI convergence represents the next fundamental shift in how we process information, solve problems and create ...

In this architecture, the training process adopts a joint optimization mechanism based on classical cross-entropy loss. WiMi treats the measurement probability distribution output by the quantum ...

TrueNorth just raised $3M to build the specialized intelligence that closes it. The pre-seed round, led by CyberFund with participation from Delphi Labs, SNZ, GSR, and Ocular, funds what the team ...

NEW YORK, Dec. 03, 2025 (GLOBE NEWSWIRE) -- Artificial Intelligence (AI) is reportedly transforming drones and unmanned aerial vehicles from remote-controlled devices into autonomous, intelligent ...

The resolution has little chance of advancing in the Republican-controlled Senate, given growing G.O.P. opposition to a two-state solution in the Israel-Palestinian conflict. By Robert Jimison ...

In the field of affective computing (Muhl C. and G., 2014), automatic emotion recognition (AER) (Stern, 2002) has gained significant attention (Kim et al., 2013 ...

Bees’ remarkable visual learning abilities make them ideal for studying active information acquisition and representation. Here, we develop a biologically inspired model to examine how flight ...

School of Materials and Chemistry, University of Shanghai for Science and Technology, Shanghai 200093, P. R. China ...

This leading textbook provides a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as ...