US researchers solve partial differential equations with neuromorphic hardware, taking us closer to world's first ...

Nanoscale device employs magnetic tunnel junctions to convert thermal noise into binary signals for random number generation.

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Neuromorphic computers, inspired by the architecture of the human brain, are proving surprisingly adept at solving complex ...

Abstract: The use of deep learning-based target detection algorithms in visual perception technology for driverless cars can address the current issue of inaccurate localization of vision systems in ...

Scientists are trying to tame the chaos of modern artificial intelligence by doing something very old fashioned: drawing a ...

New Analysis Platform Explores Why Household Tasks and Physical Automation Require Embodied Intelligence Beyond Traditional Computer Approaches The next wave of AI is physical AI. AI that understands ...

Quantum chaos used to be the kind of phrase that made experimental physicists wince, a shorthand for fragile devices going ...

Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...

Abstract: The application of multi-robot cooperative scheduling algorithm in intelligent warehouse solves the problems of path conflict between robots, uneven task allocation, poor scalability of the ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...