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 ...

Large language models aren’t trained on real-life conversations. As we encounter their language, it could affect our own ...

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 ...

The growing field of machine unlearning aims to make large language models forget harmful information without retraining them ...

Writer co-founder CEO May Habib details how her company helps enterprises deploy A.I. at scale. As competitors chase hype, ...

Kumo has unveiled KumoRFM-2, a next-generation foundation model designed specifically for structured enterprise data—marking ...

For centuries, humans looked to seers and astrologers to determine fate. Today, we look to algorithms, and the loss of agency ...

Jonathan D. Uslaner and Matthew Goldstein of Bernstein Litowitz Berger & Grossmann LLP examine the proposed new Federal Rule ...

The way we tell computers what to do, through programming languages, has changed a ton. We’re going to take a look at the ...

Machine learning has moved past its initial experimental phase. In earlier years, development often focused on creating the ...

What do the large language models behind human-like conversational AI really know and what does it mean to live alongside ...

This article examines the work of data scientist Sai Prashanth Pathi in AI for credit risk, focusing on explainable machine ...