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

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 ...

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

Artificial intelligence (AI) is transforming game development with smarter NPCs, dynamic worlds, and personalized ...

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

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 ...

For every life-changing new drug that comes to market, many candidates fail along the way. An artificial intelligence-based ...

Information is where the opportunity lies, but it is also where many industrial digital transformation programs fail.

Developed by Professor Sanjay Mehrotra, the Sliding Scale AdaptiVe Expedited (SAVE) algorithm could improve organ allocation ...

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