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

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.

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

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

Blending ‘old-fashioned’ logic systems with the neural networks that power large language models is one of the hottest trends ...

AI in Education, Machine Learning, Educational Research Methods, Causal Inference, Explainable AI Mgonja, T. (2025) Archaic Methods in a Data Rich World: Why Educational Research Must Embrace AI ...

Learners who wish to receive a certificate must register for the exam scheduled on April 17, 2026, which will be conducted in ...

Don't buy into the hype of AI when it comes to your motherboard.

The paper identifies three major areas in which AI is now vital. These include financial market prediction, macroeconomic ...

The study demonstrates machine learning's role in predicting compressive strength of rice husk ash concrete, aiding the shift ...

Dr. James McCaffrey presents a complete end-to-end demonstration of decision tree regression from scratch using the C# language. The goal of decision tree regression is to predict a single numeric ...

Abstract: While achieving tremendous success in various fields, existing multi-agent reinforcement learning (MARL) with a black-box neural network makes decisions in an opaque manner that hinders ...