BIOENGINEER

Neural Network Predictive Control Cuts Building Energy Use While Boosting Comfort

A neural network predictive control framework that jointly optimizes thermal comfort, daylighting, energy use, and life-cycle ...
Nature

Neural Network Approaches to Optimization Problems

Neural networks have become a versatile toolkit for tackling optimisation tasks that range from classical linear and quadratic programmes to complex nonconvex and sparse recovery problems. By casting ...
BIOENGINEER

Evolutionary AI Discovers Leaner Neural Networks by Treating Every Class as Its Own Goal

Researchers have reformulated multi-class classification as a many-objective problem in which each class is a separate goal, ...
Greenbot

Neural Networks and Deep Learning Explained

Stephane is a tech enthusiast and AI advocate with a deep-seated passion for leveraging technology to solve real-world problems. With a background in Chemistry and hands-on experience in AI,... We ...
HPCwire

PNNL: Improving the Prediction Ability of Spiking Neural Networks

Aug. 21, 2026 — Inspired by the human brain, researchers use neural networks as models core to machine learning (ML). There are two primary types of neural networks: artificial and spiking. While they ...