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What if people could detect cancer and other diseases with the same speed and ease as a pregnancy test or blood glucose meter? Researchers at the Carl R. Woese Institute for Genomic Biology are a step ...

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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.

As computer science students flood into the newly-renovated CIT, they will be joined by Stephen Bach, an assistant professor who joined the department this semester. Bach’s hiring comes at a time when ...

Finding tangible solutions for global challenges in energy, sustainability and healthcare is the cornerstone of the research, economic and societal activities; however, the current strategies to ...

Predicting earthquakes has long been an unattainable fantasy. Factors like odd animal behaviors that have historically been thought to forebode earthquakes are not supported by empirical evidence. As ...

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 AI assurance lab at UMass Chan Medical School will be the first step in creating what MITRE and many other healthcare stakeholders envision as a "national network of AI assurance labs," said Doug ...

The idea of improving medicine with computation is almost as old as digital computers. In the early 1960s, scientists used a computer in diagnosing blood diseases, and that was just one pioneering ...