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 ...

Mira Murati announced in June that her team is creating multimodal AI designed to engage naturally with people through ...

Psychological testing has evolved from Freud to AI and eye tracking. Technology adds depth, but theory and ethics must guide its use to ensure meaningful and equitable diagnoses.

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

Nine Boulder Prep students spent the week learning to cut, attach and smooth pieces of sheet metal to create a keychain, taco ...

Currently in the test phase, researchers will now be tasked with figuring out how a machine learning tool as such can be implemented in real-time clinical practice.

In Recentive, the Federal Circuit acknowledged the growing significance of AI and machine learning and emphasized that its holding is limited to generic machine learning applications.

One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine learning and quantum computing.

As shipping activity in the Arctic and North Atlantic oceans increases with reductions in sea ice because of climate change, the… ...

Q&A Predicting the Future Using Azure Machine Learning By David Ramel 05/13/2025 The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach ...