The Uncertainty Engine is guiding research in fusion plasma physics. Could similar approaches benefit fission research as well?

Overview Neural networks courses in 2026 focus heavily on practical deep learning frameworks such as TensorFlow, PyTorch, and Keras.Growing demand for AI profes ...

People and computers perceive the world differently, which can lead AI to make mistakes no human would. Researchers are working on how to bring human and AI vision into alignment.

Long-term lithium therapy remains the most effective maintenance treatment for bipolar disorder, yet it poses a significant risk of progressive renal impairment in a subset of patients. Early ...

LCGC International’s interview series on the evolving role of artificial intelligence (AI)/machine learning (ML) in separation science continues with Boudewijn Hollebrands from Unilever Foods R&D, ...

Jenny Anderson, a journalist, is author of the Substack “How to Be Brave.” Rebecca Winthrop is director of the Center for Universal Education at the Brookings Institution and author of the newsletter ...

For upGrad, embedding AI tools directly into courses could help bridge the gap between theoretical learning and workplace application. By enabling students to interact with the same technologies used ...

Jack Newton is frequently on the road these days, jetting between Vancouver, New York and London, with stops in Dublin and Sydney sprinkled in. He spends his days whipsawing between discussions with ...

Physicians’ use of artificial intelligence has more than doubled since 2023, with 81% surveyed by the American Medical Association reporting that they currently use the technology in a professional | ...

Explainability tools are commonly used in AI development to provide visibility into how models interpret data. In healthcare machine learning systems, explainability techniques may highlight factors ...

In both improv comedy and business, the key to greatness is throwing out the script and learning to embrace the unpredictable.