Engineered enzymes are poised to have transformative impacts across applications in energy, materials, biotechnology, and medicine. Recently, machine learning has emerged as a useful tool for enzyme ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...

Amid this shift, Interview Kickstart has introduced an advanced machine learning and agentic AI program designed to help ...

With a $5.1 million grant from the National Science Foundation (NSF), Case Western Reserve University and partners at the University of Cincinnati (UC) and Ohio Supercomputer Center (OSC) will work to ...

In a new study published in Nature titled, “Custom CRISPR-Cas9 PAM variants via scalable engineering and machine learning,” researchers from Massachusetts General Hospital (MGH) and Harvard Medical ...

A new machine learning approach developed through an international collaboration between Polytechnic University of Milan and Drexel University could help architects and urban planners better predict ...

As cities like Philadelphia strive to meet ambitious greenhouse gas reduction goals, predicting how zoning and development decisions will impact building energy use and emissions is a major challenge.

Until now, designing complex metamaterials with specific mechanical properties required large and costly experimental and simulation datasets. The method enables ...