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

The development of next-generation metallic materials is entering a transformative era driven by data-driven methodologies. Traditional trial-and-error ...

AI protein function prediction uses machine learning models trained on sequence and structural data to infer protein roles at ...

From medical image interpretation to remote monitoring to digital pathology systems, artificial intelligence is already at the forefront of medical device innovation. While manufacturers continue to ...

More aggressive feature scaling and increasingly complex transistor structures are driving a steady increase in process complexity, increasing the risk that a specified pattern may not be ...

One of the most robust backward design models developed for higher education is L. Dee Fink’s integrated course design. Fink outlines a streamlined process for designing academic courses, divided into ...

Following my conviction that hiring a learning designer is the single most impactful thing any university can do to advance teaching and learning, I’d like to feature as many of these searches as ...