AI-assisted design methods now allow for automated optimization, drastically shortening development cycles while boosting ...

Language learning has traditionally followed a one-size-fits-all approach—static syllabi, fixed lesson progressions, and ...

Generative artificial intelligence (AI) has the potential to revolutionize fashion design. By recognizing patterns in data ...

Innovations in assistive AI and, ultimately, increased autonomy with agentic AI will redefine what engineers can achieve ...

The development of catalysts has long depended on trial-and-error methods, which are time-consuming and often yield ...

AI is vying for circuit and embedded-system design jobs, but in 2025, it still requires a seasoned engineer to ride shotgun.

Researchers reveal how modeling the human brain’s hidden wiring could push AI beyond its current limits into human-like ...

Instead of shaping assessment around policing the use of AI, we need to adopt a holistic approach that helps students and educators judge how much AI use is pedagogically appropriate. These three grid ...

Drug discovery has long been criticized for its slow, costly, and failure-prone nature. Traditional approaches, particularly ...

Learn how AI and machine learning enhance antibody discovery – from structure prediction to binding optimization – with ...

Ferguson: This is a big part of what’s driving consolidation within the EDA industry. You see Siemens and Mentor and Altair ...

Machine learning accelerates catalyst discovery by combining theory, AI, and experiments to identify efficient materials for ...