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 ...

Before big tech engineers can improve the fairness of recommendation systems, such as social media feeds and online shopping ...

Proteomics is emerging as a promising approach for identifying autism biomarkers by detecting protein-level changes linked to ...

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

Target identification is the first and perhaps most critical step in drug discovery and development. Although the human ...

Engineers develop a system that captures all the elements of trial and error in material design, enabling reliable ...

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

Using CRISPR, multiomics, and machine learning, molecular biologist Larschan unravels the mysteries of the X chromosome.

AI is already changing the way healthcare looks in the US. Artificial intelligence is slowly being integrated into almost ...

SAN DIEGO – While oncologists may not yet be entirely comfortable using next-generation artificial intelligence tools to ...

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

The ChatGPT Images 2.0 model is here. Our testing shows it’s better at creating more detailed images and rendering text, but ...