Newly published research from a leading computer scientist warns that the use of generative AI to design, train, or perform ...

I’ve been flying multispectral missions for a few years now, and the biggest surprise of these systems is how much processing ...

As web applications become more sophisticated to meet our daily needs, such as shopping and communication, they also become more vulnerable to data breaches. In 2024, web applications were the target ...

Enterprise AI workloads require infrastructure designed for large-scale data processing and distributed computing.

Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper appearing in Patterns. Though large language models ...

By bringing the training of ML models to users, health systems can advance their AI ambitions while maintaining data security ...

Ford engineers are studying whether AI can play a role in detecting faulty run-downs. To do that, they first had to determine ...

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...

The search for next-generation electronic materials often starts with studying the Fermi surface, which serves as a map of a ...

Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper publishing April 22 in the Cell Press ...