As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models ...

There is more than one way to describe a water molecule, especially when communicating with a machine learning (ML) model, says chemist Robert DiStasio. You can feed the algorithm the molecule's ...

Overview: AI in financial services uses machine learning and automation to analyze data in real time, improving speed, accuracy, and decision-making across bank ...

From SOCs to smart cameras, AI-driven systems are transforming security from a reactive to a predictive approach. This ...

With its new US investors having connections to President Trump, and a deal that allows the gov't to select one board member, there are concerns that TikTok will lean more towards the right, and scale ...

Predictive algorithms help retailers leverage historical data and trend analysis to forecast future product demand with greater accuracy. Retailers forecast ...

Overview: AI-powered credit scoring uses advanced data analysis and machine learning to assess borrower risk more accurately than traditional models.Modern loan ...

With such increased predictive knowledge of solar systems, these anomaly detectors can significantly reduce costs of O&M, a ...

The history of AI shows how setting evaluation standards fueled progress. But today's LLMs are asked to do tasks without ...

In a study published in Frontiers in Science, scientists from Purdue University and the Georgia Institute of Technology ...

(THE CONVERSATION) Chinese tech giant ByteDance has signed an agreement to sell a majority stake in its video platform TikTok to a group of U.S. investors. President Donald Trump announced a ...

The fund seeks to enable researchers to make leaps rather than incremental advances in the natural sciences and engineering.