Data is fundamental to hydrological modeling and water resource management; however, it remains a major challenge in many ...

Are you contemplating a PhD and interested in economic or social science applications of machine learning? You might be a good fit for our pre-doc position. The Center for Applied Artificial ...

Federated Learning (FL) has gained significant attention as a novel distributed machine learning paradigm that enables collaborative model training while preserving data privacy. However, traditional ...

Linux has long been the backbone of modern computing, serving as the foundation for servers, cloud infrastructures, embedded systems, and supercomputers. As artificial intelligence (AI) and machine ...

Machine learning redesigns microscopic web sensors to be five times more flexible than nature-inspired versions, enabling detection of masses as small as trillionths of a gram.

Rules-based automation (RBA) and learning are two training mechanisms in robotics. While there are many others, these are two ...

Machine learning is no longer just a tech buzzword. Businesses face constant pressure to stay competitive in an ever-changing digital environment. Many feel overwhelmed by the rapid pace of change and ...

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...

Imagine a future where computers don’t just follow orders - they think, adapt, and learn from their mistakes. Well, guess ...