QNNs achieved 95 percent accuracy, while QSVMs reached 94 percent, both surpassing classical machine learning methods, which ...

Every industry is continuing to react to the advent of new tools powered by artificial intelligence, whether it be working ...

Today users expect apps that do more than function; they want apps that learn, adapt and think. The next generation of mobile ...

AEquity aims to improve training for healthcare machine-learning algorithms by assessing the accuracy and fairness of the ...

Quantum computers that were previously limited to theoretical physics now learn to discover patterns, optimize decisions and ...

The bird has never gotten much credit for being intelligent. But the reinforcement learning powering the world’s most ...

A key objective of behavioral science research is to better understand how people make decisions in situations where outcomes are unknown or uncertain, which entail a certain degree of risk. The ...

Please provide your email address to receive an email when new articles are posted on . Familial hypercholesterolemia is underdiagnosed and undertreated. A novel machine learning algorithm identified ...

Scientists in Australia have developed a quantum machine learning technique — a blend of artificial intelligence (AI) and quantum computing principles — that could change how microchips are made. They ...

More aggressive feature scaling and increasingly complex transistor structures are driving a steady increase in process complexity, increasing the risk that a specified pattern may not be ...