Harnessing heat generated by a device itself, microscopic silicon structures could lead to more energy-efficient thermal ...
The growing field of machine unlearning aims to make large language models forget harmful information without retraining them ...
The field of intelligent energy systems has witnessed a remarkable transformation owing to innovations in machine learning. Over the past few decades, the ...
Researchers used the world's fastest supercomputer for open science to train an artificial intelligence model that captures ...
Abstract: This study presents a comprehensive survey on Quantum Machine Learning (QML) along with its current status, challenges, and perspectives. QML combines quantum computing and machine learning ...
Pushing against years of scepticism, an analysis suggests quantum computers may offer real advantages for running machine ...
Protein engineering is a field primed for artificial intelligence research. Each protein is made up of amino acids; to ...
The seismic crisis that gripped the Greek island of Santorini and its neighbors in 2025 contained more than 60,000 ...
Abstract: With the rising adoption of deep neural networks (DNNs) for commercial and high-stakes applications that process sensitive user data and make critical decisions, security concerns are ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results