Frontiers

Enhancing Kidney Transplant Outcomes through Machine Learning Innovations

The field of kidney transplantation is increasingly incorporating machine learning (ML) strategies to enhance the accuracy of ...
eLife

Individual differences in tail risk sensitive exploration using Bayes-adaptive Markov decision processes

A normative computational model of individual differences in mouse exploration driven by reward and threat uncertainty as well as risk sensitivity when faced with a novel object in an open field.

Dan Herbatschek Leads New Initiative in New York and Los Angeles to Advance Transparency and Interpretability in Machine Learning

The applied mathematician and Ramsey Theory Group founder launches a mission to reshape how organizations understand and trust AI.
Discover Magazine on MSN

Prehistoric Humans Traded This Rare Green Gem and AI Has Identified Its Surprising Origins

Learn more about the trade of the green mineral variscite, and how experts can use AI to identify where the original trade ...
IEEE

Empowering Farmers: Real-Time Coconut Tree Disease Detection and Management Using YOLOv8 and Machine Learning Technique

Abstract: Coconut farming occupies a critical place in tropical farming economy, but its development is retarded by several plant diseases of coconut that may decline the yield and quality of the crop ...
PlasticsToday

Machine Learning Cracks the Plastics Code

Research shows how artificial intelligence is revolutionizing plastics manufacturing through material development and process ...