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Machine learning (ML) is powering breakthroughs that impact every aspect of our lives: cars that drive themselves, voice assistants that hold conversations, and even software that writes messages and ...

Princeton Plasma Physics Laboratory published a new paper last week, marking significant results from the lab’s artificial intelligence research. In the paper, published in Nature Communications, PPPL ...

Automated machine learning promises to speed up the process of developing AI models and make the technology more accessible. Machine-learning researchers make many decisions when designing new models.

The National Science Foundation has selected UT Austin to lead the NSF AI Institute for Foundations of Machine Learning. The NSF AI Institute for Foundations of Machine Learning and the Machine ...

The Mining Lab aims to build statistical models to tackle hard learning problems with limited labels in knowledge-rich domain (e.g., medicine and bioinformatics).

In addition to our faculty's individual research, much research and development takes place in computer science laboratories. Some of these labs are highlighted below. The COSI 119a Brandeis ...

The Machine Learning Lab matching event will take place on Friday, Oct. 17 and is an opportunity for faculty and researchers seeking machine learning expertise to connect with undergraduate and master ...

Electron density prediction for a four-million-atom aluminum system using machine learning, deemed to be infeasible using traditional DFT method. × Researchers from Michigan Tech and the University of ...

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