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 ...

Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests. Systems controlled by next-generation computing ...

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

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

Explore how AI in high-throughput screening improves drug discovery through advanced data analysis, hit identification and ...

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

An exploration of how targeted nanoparticles and artificial intelligence algorithms combine to locate prostate cancer earlier ...

Walk through enough industrial AI deployments and a pattern becomes uncomfortable to ignore. The pilot works. The model ...

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