Interpretable AI model could offer new insights into why medicines cause certain side effects, helping to improve future drug safety predictions.

An article recently published in Nature proposes a new way to evaluate data quality for artificial intelligence used in healthcare. Several documentation efforts and frameworks already exist to ...

Plasma mirrors capable of withstanding the intensity of powerful lasers are being designed through an emerging machine ...

The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...

A new low-power sensor node framework combines sensing and machine learning, with the potential to enhance real-time ...

Linux has long been the backbone of modern computing, serving as the foundation for servers, cloud infrastructures, embedded systems, and supercomputers. As artificial intelligence (AI) and machine ...

Conceived by French scientists, the novel system uses ensemble learning and does not require anything more than a commercially available optimizer. Before it makes a decision, the method combines K ...

Neuroblastoma is the most common solid tumor in infants and accounts for nearly 15% of all pediatric cancer-related deaths. Despite decades of progress in surgery, chemotherapy, and stem cell ...

Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...