New software toolbox enables brain-like models to learn directly from data

Researchers have developed a powerful new software toolbox that allows realistic brain models to be trained directly on data.
NatureOpinion

‘It keeps me awake at night’: machine-learning pioneer on AI’s threat to humanity

Yoshua Bengio talks about his efforts to identify — and address — the risks posed by AI.
Tech Xplore

Machine learning used to calibrate emissions control systems faster, more efficiently

Southwest Research Institute (SwRI) has developed a method to automate the calibration of heavy-duty diesel truck emissions ...
IEEE

Spatiotemporal Attention-Augmented Vehicle Interaction Modeling for HEV Energy Management with Maximum Entropy Reinforcement Learning

Abstract: Hybrid Electric Vehicles (HEVs) play an important role in sustainable transportation, with en-ergy management strategies (EMS) being crucial to their fuel efficiency. However, the complex ...
IEEE

Cross-Entropy Firefly Algorithm-Assisted Deep Reinforcement Learning for Flexible Flow Shop Scheduling Problems

Abstract: The Flexible Flow Shop Scheduling Problem (FFSP) involves scheduling jobs across multiple machines with flexible operation sequences. As an NP-hard problem with discrete variables and ...
Frontiers

On computation of information entropy measures for certain fractal molecular architectures

1 Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Vellore, India 2 Department of Science and Humanities, KGiSL Institute of Technology, Coimbatore, India In ...