Batch failures in biomanufacturing are rarely unpredictable. The warning signals appear in process data long before a culture collapses or a critical quality attribute drifts out of specification, but ...

Two recent developments in artificial intelligence (AI) and machine learning have the potential to accelerate product development by streamlining materials research. Israel-based MaterialsZone, a ...

Ultra-precision machining underpins the manufacture of components where surface quality is not merely aesthetic but functionally critical, from optical ...

Forbes contributors publish independent expert analyses and insights. Writes about the future of payments. We live in a world where machines can understand speech, recognize faces, and even generate ...

A body of healthcare AI research connects data infrastructure, machine learning, and natural language processing across medical applications. The studies examine automated data collection, cancer ...

In recent years, the rapid advancement of machine learning (ML) has led to their early integration into safety-critical systems. As noted in Chapter 2, these technologies offer significant potential ...

Driverless AI really is able to create and train good machine learning models without requiring machine learning expertise from users. Machine learning, and especially deep learning, have turned out ...

Caltech scientists have developed an artificial intelligence (AI)–based method that dramatically speeds up calculations of the quantum interactions that take place in materials. In new work, the group ...