This particular type of neural network is called a Spiking Neural Network (SNN) which uses discrete events, called “spikes”, instead of continuous real-valued activations.

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 ...

MicroCloud Hologram Inc. announces a noise-resistant Deep Quantum Neural Network architecture, advancing quantum computing and machine learning efficiency.

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 ...

Networking company Alpha Networks (Alpha) held its shareholders meeting on May 27, 2025, where it expressed optimism about the continued strengthening of shipment momentum for its core products in ...

Article citations More>> Yuan, Z. and Dong, D.M. (2022) Near-Infrared Spectroscopy Measurement of Contrastive Variational Autoencoder and Its Application in the Detection of Liquid Sample.

NASA estimates it is a year to a year and a half away from completing an updated preliminary design review of the Mars Sample Return mission.

Sun, Y., Xue, B., Zhang, M. and Yen, G.G. (2019) A Particle Swarm Optimization-Based Flexible Convolutional Autoencoder for Image Classification. IEEE Transactions on Neural Networks and Learning ...

This article presents a complete demo of neural network quantile regression using the C# language. To the best of my knowledge, there are no existing code libraries that directly implement neural ...

China says it is open to accommodating foreign participation in its Tianwen-3 Mars sample return mission. As part of the effort, international partners can propose equipment that would be ...