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 ...

Compare Data Scientist vs Machine Learning Engineer roles in India 2026. Explore salary, skills, career paths, and find which ...

Discovering and characterizing new materials is important for unlocking advances in fields like clean energy, advanced ...

A new machine learning tool called PhysMAP separates the electrical signatures of different cell types, offering a new way to study schizophrenia and depression.

Simulating how atoms and molecules move over time is a central challenge in computational chemistry and materials science.

A wildfire forecasting system powered by artificial intelligence was around 30% better at identifying dangerous fire ...

Landslide risk is rising as extreme rainfall intensifies. New tools using satellite data and AI can help map where failures ...

For many years, a dominant view in neuroscience was that neurons in the inferotemporal (IT) cortex—a critical center in the ...

By Kenrick Cai LAS VEGAS, April 22 (Reuters) - Alphabet is deepening a push into enterprise software, signaling to investors ...

Neuroscientist Vivienne Ming argues in her new book that the biggest risk of artificial intelligence is people using it too ...

In a National Institutes of Health (NIH)-funded study, researchers developed a cancer assessment tool that can identify high-risk patients and the tumor cells linked to that risk.

Mira Murati's Thinking Machines Lab has signed a multi-billion-dollar deal with Google Cloud for AI infrastructure powered by ...