In this digital world, the rapid advancement of semiconductor technologies has brought new challenges in design verification.

In a recent study, researcher Anandasankar Ray at the University of California, Riverside, and his team employed machine ...

Whether you’re a complete newbie or someone dabbling in data, training your first model can feel like stumbling into an ...

Machine learning models trained on electronic health record data were able to successfully predict diagnostic progression to schizophrenia and bipolar disorder among patients with other mental ...

Researchers at Southwest Research Institute (SwRI) and the University of Michigan (U-M) have published a new study showing an ...

Services Australia is testing machine learning technology to help clear its backlog of non-recoverable Centrelink debts, but ...

I interviewed Dr. Jacqueline Shreibati about her team's work on Loss of Pulse and the transition from 'wellness' guidance to machine-learning diagnoses.

The team builds foundational ML solutions embracing Netflix’s vast media data, driving advancements in multi-modal content ...

BullFrog AI plans to introduce what it considers a game-changing approach that could shorten timelines, reduce costs, and ...

It’s understandable why people want to embrace genAI in a fast and furious way. But there's a tendency to go overboard.

When such significant resources are poured into harnessing AI for national defense, it raises a powerful question: Why should ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demo of Poisson regression, where the goal is to ...