Engineering
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New optical technique provides more efficient probe of nanomagnet dynamics
Data storage devices and other emerging technologies use magnetic elements smaller than 100 nanometers, but studying their magnetization dynamics can be a challenge.
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Campus team a finalist in Amazon’s Alexa challenge
UC Santa Cruz’s Team Athena is one of five teams remaining in the Alexa Prize Socialbot Grand Challenge from a field of 375 applicants from around the world.
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COVID Catalyst Fund supports work on rapid serology test at UC Santa Cruz
Biomolecular engineer Nader Pourmand is evaluating the use of a novel nanosensor to provide rapid, low-cost, and accurate serology tests for coronavirus antibodies.
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Powerful new AI technique detects and classifies galaxies in astronomy image data
UCSC researchers developed a deep-learning framework called Morpheus to perform pixel-level morphological classifications of objects in astronomical images.
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Eleven human genomes sequenced and assembled in nine days
The dawn of good, fast, and cheap human genome assembly has arrived, thanks in part to collaboration and innovation by an international team led by UC Santa Cruz researchers.
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Engineer Ricardo Sanfelice receives ‘test of time’ award for influential paper
Ricardo Sanfelice, professor of electrical and computer engineering, has received the 2020 Test-of-Time Award from the Hybrid Systems: Computation and Control (HSCC) conference.
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Genomics Institute launches landing page for COVID-19 data resources
The browser team at the UC Santa Cruz Genomics Institute has launched a new landing page for resources related to the COVID-19 pandemic.
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UCSC researchers are taking on the coronavirus challenge on multiple fronts
From developing diagnostic tests to conducting surveys of infection prevalence, campus researchers are doing what they can in response to the COVID-19 pandemic.
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Study shows widely used machine learning methods don’t work as claimed
Researchers demonstrated the mathematical impossibility of representing social networks and other complex networks using popular methods of ‘low-dimensional embeddings’.


