Neural Networks

Deep learning is part of a broader family of machine learning methods, which is based on artificial neural networks with representation learning.

Signal recovery teaches neural networks to estimate unobservable parameters without their labels

AI as an order detector: New study uses neural networks to revisit the Lindemann criterion

Brain-inspired computing: Using noise to regulate information flow in neural networks

New Study Uses Neural Networks to Reveal How Experience Shapes Learning

New study uses neural networks to reveal how experience shapes learning

Scientists build living ‘neurobots’ that grow their own neural networks

AdapGNN: A new framework enhances explainability of graph neural networks for molecular property prediction - EurekAlert!

Putting neural networks to work in nonlinear optics - EurekAlert!

Teaching neural networks where errors matter - EurekAlert!

New technique improves accuracy of graph neural networks - EurekAlert!

New blood- and microbiome-based neural networks forecast human biological age - EurekAlert!

A survey of geometric graph neural networks: data structures, models and applications - EurekAlert!

Scientists unravel neural networks that guide guilt and shame-driven behaviors - e3.eurekalert.org

A step toward practical photonic quantum neural networks - EurekAlert!

How do neural networks solve the dilemma in agricultural product drying? - EurekAlert!

High-accuracy tumor detection with label-free microscopy and neural networks - EurekAlert!

Common feature between forest fires and neural networks reveals the universal framework underneath - EurekAlert!

Soft-GNN: towards robust graph neural networks via self-adaptive data utilization - EurekAlert!

AI-powered thermal management: Transforming EV battery design with neural networks and FEA - EurekAlert!