As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models is learning without crossing ethical lines. By Daniel Fusch Neel Somani, a ...

The integration of machine learning techniques into microstructure design and the prediction of material properties has ushered in a transformative era for materials science. By leveraging advanced ...

The healthcare sector is increasingly reliant on digital technologies, demonstrating a strong commitment to using advanced tools for better patient care and more efficient data management. However, ...

Researchers have found a way to make the chip design and manufacturing process much easier — by tapping into a hybrid blend of artificial intelligence and quantum computing. When you purchase through ...

Having data and metrics is great. But there comes a point when so much data is collected that the user has no clue what to make of it. Data overload can be a serious problem. Here’s a great example to ...

ML tailors banking solutions by analyzing transactions, spending habits, and financial goals. It detects fraud in real time, adapts to threats, and verifies customer ...

Fueled by healthcare’s data deluge, enthusiasm for machine learning and artificial intelligence is on the rise as providers recognize the need for automated and analytic tools for managing patients ...

AI can be added to legacy motion control systems in three phases with minimal disruption: data collection via edge gateways, non-interfering anomaly detection and supervisory control integration.

Overview: AI-powered programmatic advertising automates ad buying and placement using real-time data and machine learning ...