Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...

Researchers have proposed a unifying mathematical framework that helps explain why many successful multimodal AI systems work ...

Cambodia is not alone in facing capacity limitations in the production and timely release of key official statistics needed for data-driven policy decisions. This paper demonstrates that combining ...

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...

One of the most difficult challenges in payment card fraud detection is extreme class imbalance. Fraudulent transactions ...

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...

A new research paper shows the approach performs significantly better than the random-walk forecasting method.

For decades, scientists have relied on structure to understand protein function. Tools like AlphaFold have revolutionized how researchers predict and design folded proteins, allowing for new ...

The PyTorch team at Meta, stewards of the PyTorch open source machine learning framework, has unveiled Monarch, a distributed programming framework intended to bring the simplicity of PyTorch to ...