AI tool streamlines drug synthesis
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A machine-learning system trained on sparse data predicts how molecules form, cutting months of lab work to days, at a fraction of the cost.
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Senate Summary | Feb. 2, 2026
Academic Senate meetings are open to the public and are held on Zoom.
Read MoreUtah as a national model for smart urban growth
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Guang Tian is pioneering research that blends advanced technology with urban design for healthier, better connected and more sustainable communities.
Read MoreU launches ChatGPT Edu, a university-centered generative AI tool for campus use
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Tool is designed for students, staff and faculty to get the most out of ChatGPT in a responsible and secure way.
Read MoreImproving snowfall forecasts in the Mountain West
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U atmospheric scientists use manually gathered snowfall data from across the West to train a new model that outperforms existing weather prediction models.
Read MoreLanguages leading the way: Bridge Program serves thousands of Utah students
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In order to fully understand, to fully work with another culture, another people, you have to understand their stories.
Read MoreAI excels at detecting parasites in stool samples, study finds
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Joined by U startup Techcyte, ARUP develops deep-learning model that could transform how intestinal infections are diagnosed.
Read MoreBill Miller brings national expertise to advance research computing and data at the U
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This pivotal appointment signals the university’s commitment to artificial intelligence, research and innovation at scale.
Read MoreU building AI ecosystem with tech powerhouses
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Proposed $50 million 5-year deal with HPE would enlarge the U’s computing power 3.5-fold using NVIDIA chips, driving new discoveries and innovation in cancer care and beyond.
Read MoreA physicist tackles machine learning black box
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Despite its omnipresence in society, we’re just beginning to understand the mechanisms driving machine learning. U scientist shows how physicists can play an important role in unraveling its mysteries.
Read MoreIs there a place for AI in placing medical needles?
Review of scientific literature explores how artificial intelligence can best advance robotic deployment of needles inside the body.
Read More‘The elephant in the room’ for science communication
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Science organizations are ill-prepared to leverage current media landscapes most effectively to communicate with the public partly due to social media platforms preventing meaningful research.
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