Nvidia’s latest pitch for the future of graphics is not about more polygons or higher memory bandwidth, it is about teaching ...

Neural networks have emerged as a transformative tool in wireless communications, offering innovative approaches for signal processing, channel estimation and transceiver design. By leveraging ...

Calculations show that injecting randomness into a quantum neural network could help it determine properties of quantum ...

Fuzzy neural networks and systems represent a synergistic integration of fuzzy logic and artificial neural networks, aiming to encapsulate human-like reasoning within powerful learning frameworks. By ...

Researchers have employed Bayesian neural network approaches to evaluate the distributions of independent and cumulative ...

In order to uncover the relationship between structure and function, researchers used microfluidic devices to study neuronal networks. Uncovering the relationship between structure (connectivity) and ...

A team of researchers at Penn State have devised a new, streamlined approach to designing metasurfaces, a class of engineered ...

A Performant Side-channel-Resistant RISC-V Core Securing Edge AI Inference” was published by researchers at Northeastern ...

Uncovering the relationship between structure (connectivity) and function (neuronal activity) is a fundamental question across many areas of biology. However, investigating this directly in animal ...