This FAQ explores the fundamental architecture of neural networks, the two-phase learning process that optimizes millions of parameters, and specialized architectures like convolutional neural ...

Recently, the iGaN Laboratory led by Professor Haiding Sun at the School of Microelectronics, University of Science and Technology of China (USTC), together with the team of academician Sheng Liu from ...

Nagaland University's Dr. Biplab Pal achieved a global quantum research breakthrough, recreating fractals in the quantum world. His study, featured on ...

The mini-brains are not conscious; they are simplified sandboxes of the human mind, far smaller than the brain’s 86 billion neurons.

A new technology to more accurately trace neuron shapes from microscopy images is outlined in research released by E11 Bio, a nonprofit Focused Research Organization based in Alameda, Calif. The aim ...

With increase in the applications of autonomous systems, in both civilian and military domains, it has become increasingly important to provide formal ...

Release 19 is exploring embedding AI in the PHY layer, giving the telco ecosystem new tools for efficiency, spectrum use, and performance.

Convolutional neural networks, or CNNs, are the workhorses behind many of AI's greatest hits, like spotting faces in photos, reading handwriting, or translating languages. They're masters at pattern ...

A study by Dorothy P. Schafer, Ph.D., and Travis E. Faust, Ph.D., at UMass Chan Medical School, explains how two different cell types in the brain—astrocytes and microglia—communicate in response to ...

Companies are becoming autonomous machines, and this 'outside-in' orientation has profound implications for how they think about customers, markets, and value creation.