For decades, scientists have looked to light as a way to speed up computing. Photonic neural networks—systems that use light instead of electricity to process information—promise faster speeds ...

Researchers at TUM trained artificial neural networks using biological data from the early visual system development. These networks completed tasks more quickly and accurately than those without ...

Artificial neural networks are typically trained using data that closely resembles the task they're intended to perform.

A team of astronomers led by Michael Janssen (Radboud University, The Netherlands) has trained a neural network with millions of synthetic black hole data sets. Based on the network and data from ...

We present a feedforward biological neural network with a two-input-one-output topology. The topology is controlled by confining neuronal growth within PDMS microstructures. We interact with a network ...

Gain insight into network resiliency in industrial Ethernet switching and how it helps minimize downtime, as well as key strategies like redundancy to keep critical systems running smoothly.

Researchers at Ben-Gurion University of the Negev have developed a machine-learning algorithm that could enhance our understanding of human biology and disease. The new method, Weighted Graph ...

Courtney and Patricia show us all the benefits of the best basic helmet on the market. Wear it anywhere, wear it with anything: its the basic helmet and it can be yours today! Video courtesy of ...

Biological neural networks are still far superior to artificial ones in terms of both, flexibility and energy efficiency.

The company is assembling multiple units into a biological neural network server stack, each containing 30 cell-based computing units.