Researchers at University of Southern California and University of Pennsylvania recently introduced a new nonlinear dynamical modeling framework based on recurrent neural ... with a multisection ...

Digging through IMS 2025’s technical sessions unearthed some insights into the microwave industry’s research inclinations, which in turn provide a look into the future.

By learning the relevant features of clinical images along with the relationships between them, the neural network can outperform more traditional methods.

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 and ...

Learn how to build your own GPT-style AI model with this step-by-step guide. Demystify large language models and unlock their ...

The architecture proposed by St. Petersburg State University physicists belongs to the class of Binary Neural Networks (BNN) working with binary input and output signals of neurons.

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

This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...

In a comprehensive Genomic Press Interview published in Brain Medicine, Dr. Michael C. Oldham shares his unconventional journey from advertising executive to computational neuroscientist and his ...

The article considers the possibilities of artificial intelligence (AI) application in digital production management. The authors note that the use of AI technologies opens up many opportunities for ...

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