Going beyond simple models of neural networks: Extended mean-field theory offers a better approach

Physics is most readily applied to relatively simple systems: a pendulum, two electrons colliding or the structure of the ...

Neural networks reveal how experience shapes learning in both brains and machines

A new study has used a type of machine learning called a neural network to reveal how different kinds of training can change ...
techtarget

Explore the foundations of artificial neural network modeling

Deep learning neural networks are usually rife with challenges. For all their layered capabilities, the algorithms themselves are hard to create and even harder to manage. From the demand for millions ...
News-Medical.Net

Neural networks reveal how training shapes learning in living brains

A new study has used a type of machine learning called a neural network to reveal how different kinds of training can change ...
quantamagazine.org

Novel Architecture Makes Neural Networks More Understandable

“Neural networks are currently the most powerful tools in artificial intelligence,” said Sebastian Wetzel, a researcher at the Perimeter Institute for Theoretical Physics. “When we scale them up to ...
Semiconductor Engineering

Building Fixed HW Implementations of Neural Networks (Yale, Cornell et al.)

“Foundation models are deep neural networks (such as GPT-5, Gemini~3, and Opus~4) trained on large datasets that can perform diverse downstream tasks — text and code generation, question answering, ...
ascopubs.org

Spatial pathology–driven graph neural network modeling for predicting response to neoadjuvant immunotherapy in non–small cell lung cancer.

Pretreatment CT-based radiomics and machine learning models for predicting treatment response in lung cancer: A diagnostic test accuracy meta-analysis. This is an ASCO Meeting Abstract from the 2026 ...