It can take years for humans to solve complex scientific problems. With AI, it can take a fraction of the time.

One of the shared, fundamental goals of most chemistry researchers is the need to predict a molecule's properties, such as ...

TrainCheck uses training invariants to find the root cause of hard-to-detect errors before they cause downstream problems, ...

Despite the AI hype, ML tools really are proving valuable for leading-edge chip manufacturing. More aggressive feature ...

Ansys SimAI is a physics-agnostic and cloud-enabled computer-aided engineering tool that predicts performance of complex ...

Belhaven University has launched a fully online Master of Science in Applied Artificial Intelligence program, the first of ...

Looking ahead, the engineer predicts a sharp divide. By 2027, developers who built foundational skills before the AI boom will be in demand — likened to artisans in an age of automation.

Scientists create seaweed-enhanced concrete, cutting emissions by 21% using machine learning for rapid discovery.

Kriti Goyal used her master's degree and strategic networking to move to the US and succeed in AI at a major Big Tech company ...

Discover the ultimate roadmap to mastering machine learning skills in 2025. Learn Python, deep learning, and more to boost ...

Loveland joined Nike in February 2016 as senior director of Engineering, Analytics & Machine Learning, subsequently advancing ...