Quantum-informed AI improves long-term turbulence forecasts while using far less memory

An AI model informed by calculations from a quantum computer can better predict the behavior of a complex physical system ...

AI Is Becoming A Scientist: How Self-Driving Labs Will Accelerate Discovery

This article explores how autonomous science could speed up breakthroughs in medicine & materials, while raising urgent ...
Nextgov

AI is helping VA speed up claims processing, but Dems worry about errors

N.Y., said about VA’s use of automation and AI to process veterans’ benefits claims. The Department of Veterans Affairs has ...
Nature

AI models ‘subliminally’ transmit biases when training other systems

Using artificial-intelligence to teach other models can be cheaper and faster than building them from scratch, but this ...
Frontiers

Adaptive Generative AI for Personalized Learning and Human Behavior Change

The intersection of artificial intelligence, human learning, and behavior change has gained increasing importance in recent years. Traditional adaptive ...
Frontiers

Artificial Intelligence and Predictive Analytics in Diabetes Care

Artificial intelligence and machine learning are reshaping diabetes prevention, diagnosis, and management across the care continuum. Continuous glucose ...
IEEE

MAT4PM: Machine Learning-Guided Adaptive Threshold Control for P4-based Monitoring in SDNs

Abstract: This paper presents MAT4PM, a P4-based proactive monitoring framework designed for Software-Defined Networking (SDN). This is the first monitoring framework that combines Programmable Data ...
IEEE

Hybrid Deep Learning Approach Using Resnet-50 BiLSTM and AdaBoost for High Precision Potato Leaf Disease Classification

Abstract: The Farmer incomes and global food security are being threatened by potato crop diseases including Early Blight and Late Blight. Visual illness diagnosis procedures by sight are ...