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 ...

Key opportunities in the Generative AI in Oil & Gas market include enhancing operational efficiency and reducing costs ...

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

Neuro-symbolic AI is now being used to provide mental health guidance. Turns out this is better than using conventional AI. I ...

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

Researchers have conducted a systematic review of advanced artificial intelligence algorithms and hardware acceleration techniques applied to material structure design, highlighting significant ...

Explore the 10 best generative AI courses to take in 2026, with options for hands-on training, certifications, and practical ...

World models are getting substantial funding. What is a world model, how does it compare to a large language model, and what ...

Target identification is the first and perhaps most critical step in drug discovery and development. Although the human genome contains roughly 20,000 protein-coding genes, only about 4,500 are ...

A study by Matthew Montebello of the University of Malta argues that generative AI is fundamentally breaking the ...

Salk scientist Terrence Sejnowski will receive the inaugural World Digital Technology Academy Scientific Breakthrough Award ...

While Anthropic's dispute with the Pentagon escalated over guardrails on military use, OpenAI LLC struck its own publicized ...