Overview: Machine learning systems analyze massive datasets to identify patterns and automate complex digital decision-making ...

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 ...

Machine learning (ML) has moved from being a niche academic concept to a driving force behind many of the digital tools people use every day. Machine learning is used in everything from media ...

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, ...

Abstract: Fraud in supply chain operations poses significant risks to businesses, including financial losses, operational inefficiencies, and erosion of stakeholder trust. With the increasing ...

AI cyberattacks are rapidly transforming the cybersecurity landscape, enabling attackers to automate and scale operations with unprecedented speed. Through machine learning hacking, adversaries can ...

The Center for Applied AI recently hosted our annual Machine Learning in Economics Summer Institute. This year the Institute was held from August 1st to August 5th. Following the Institute, the first ...