EurekAlert!

Transfer learning-enhanced physics-informed neural network (TLE-PINN): A breakthrough in melt pool prediction for laser melting

The TLE-PINN method integrates EPINN and deep learning models through a transfer learning framework, combining strong physical constraints and efficient computational capabilities to accurately ...
EurekAlert!

Working status prediction for a high-formwork support system using finite element model-informed deep learning and GPT-aided method

Researchers have developed an innovative approach to predict the working status of high-formwork support systems (HFSS) by combining finite element model (FEM) simulations with deep learning and large ...
MIT Technology Review

A new way to build neural networks could make AI more understandable

The simplified approach makes it easier to see how neural networks produce the outputs they do. A tweak to the way artificial neurons work in neural networks could make AIs easier to decipher.
Ars Technica

How a stubborn computer scientist accidentally launched the deep learning boom

During my first semester as a computer science graduate student at Princeton, I took COS 402: Artificial Intelligence. Toward the end of the semester, there was a lecture about neural networks. This ...
Live Science

'It will be comparable with the industrial revolution': Two legendary AI scientists win Nobel Prize in physics for work on neural networks

When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. The 2024 Nobel Prize in physics has been awarded to two scientists who laid the foundations for ...