AI Brings Predictability to Complex Food Product Development

A new review shows how AI helps food companies predict formulation, processing, and sensory outcomes. AI does not ...
IEEE

A Review on Quantum Machine Learning in Applied Systems and Engineering

Abstract: Quantum Machine Learning (QML) has emerged as a promising frontier within artificial intelligence, offering enhanced data-driven modeling through quantum-augmented representation, ...
IEEE

Toward Transparent Reinforcement Learning: An Explainable Deep Q-Learning Framework for Sequential Decision-Making

Reinforcement learning (RL) has demonstrated remarkable promise in sequential decision-making tasks; however, its explainability issues continue to hinder high-stakes domains that demand regulatory ...
College of Computing - Georgia Tech

Department of Energy Award to Power Nuclear Research with Machine Learning

Georgia Tech’s Qi Tang is building machine learning (ML) models to accelerate nuclear fusion research, making it more affordable and more accurate. Backed by a grant from the U.S. Department of Energy ...
The Lancet

When to and when not to use machine learning in risk prediction models

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
Tech Xplore

Q&A: Could light-powered computers reduce AI's energy use?

A key problem facing artificial intelligence (AI) development is the vast amount of energy the technology requires, with some ...