A computational method combining generative AI with atomistic simulations can identify promising platinum alloy catalyst structures for hydrogen fuel cells, report researchers from Science Tokyo.

Today, businesses face immense pressure to innovate. The rapid evolution of artificial intelligence and data analytics ...

Most contemporary artificial intelligence (AI) systems learn to complete tasks via machine learning and deep learning.

A new trick for modeling molecules with quantum accuracy takes a step toward revealing the equation at the center of a popular simulation approach, which is used in fundamental chemistry and materials ...

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy inefficiency in power amplifiers for next-generation wireless communication.

Ford engineers are studying whether AI can play a role in detecting faulty run-downs. To do that, they first had to determine ...

Colonoscopy quality indicators for colorectal cancer precursors: Sessile serrated lesion and adenoma detection rates from a large clinical study of a blood-based test for CRC screening. This is an ...

A model made using machine learning can predict if CPAP use in patients with obstructive sleep apnea will benefit or harm ...

A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...

Researchers in Belgium have discovered that Parkinson’s disease may consist of several hidden subtypes rather than one single disorder. Using artificial intelligence and machine learning, scientists ...