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 ...

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 ...

Machine-learning systems already shape ordinary parts of life, from spam filters to product recommendations and social media ...

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

Generative AI is best known for creating images and text. Now, it is helping industries make better planning decisions.

The generative AI market in insurance is growing rapidly, driven by automation, improved data analysis, and personalized ...

Explore how AI frameworks are reshaping enterprise innovation in 2026, enabling scalable solutions, faster decision-making, ...

In recent years, artificial intelligence has become more accessible than ever before. Powerful libraries, automated platforms ...

Generative AI engineers, blending machine learning, software engineering, and product strategy, are rapidly becoming one of ...

A Cell Perspective argues that generative AI models could help tackle cancer’s multiscale, multimodal complexity by ...

Generative AI systems operate differently enough that some assumptions underpinning today's governance approaches warrant ...