Deep neural networks are at the heart of artificial intelligence, ranging from pattern recognition to large language and ...

For decades, scientists have looked to light as a way to speed up computing. Photonic neural networks—systems that use light ...

Researchers from the University of Tokyo in collaboration with Aisin Corporation have demonstrated that universal scaling ...

Decision-making often involves trial and error, but conventional models assume we always act optimally based on past ...

MediaTek Research, the advanced research division of the MediaTek Group, has released MR Breeze ASR 25, an open-source automatic speech recognition (ASR) model optimized for Taiwanese Mandarin and ...

Researchers at University of Southern California and University of Pennsylvania recently introduced a new nonlinear dynamical modeling framework based on recurrent neural networks (RNNs) that ...

Neuroscientists want to understand how individual neurons encode information that allows us to distinguish objects, like telling a leaf apart from a rock. But they have struggled to build ...

GREmLN leverages a graph-based architecture to represent gene-gene interactions to predict cell behavior for therapeutic applications.

A biphasic structural plasticity rule interacts with homeostatic synaptic scaling to maintain firing rate homeostasis in neural networks.

neural network: A computational model that resembles the human brain's structure and is meant to recognize patterns in data.

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