BE-ai
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WiFi signals can measure heart rate—no wearables needed
Engineers prove their technique is effective even with the lowest-cost WiFi devices
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AI is good at weather forecasting. Can it predict freak weather events?
New study tests neural networks’ ability to handle ‘gray swan’ events.
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Workshop aims to create speech AI for all
Researchers are studying and seeking solutions to the technical and policy challenges of accessible speech AI
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Newest Genome Browser features highlight the power of generative AI and machine learning for biology
The UCSC Genome Browser has added two new datasets that leverage the power of generative AI and machine learning to interpret information about genetic variants and more rapidly assess which ones might be harmful to human health
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UC Santa Cruz research will harness advanced AI to better measure, predict climate-change impacts
Two UC Santa Cruz research projects designed to leverage advanced forms of artificial intelligence to improve how scientists measure and predict the effects of climate change have won funding from a $20 million investment by the National Science Foundation.
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Scientists find that small regions of the brain can take micro-naps while the rest of the brain is awake and vice versa
For the first time, scientists have found that sleep can be detected by patterns of neuronal activity just milliseconds long
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Researchers win best paper award for introducing new AI method for minimum-effort materials engineering
UC Santa Cruz researchers devised a new method for materials engineering that incorporates novel mathematical and deep learning techniques which won them the prestigious 2024 O. Hugo Schuck Best Application Paper Award from the American Automatic Control Council.
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A Greener Solution for Artificial Intelligence
A new large language model developed at UCSC removes math from the equation, giving artificial intelligence a more sustainable, greener future.
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Researchers run high-performing large language model on the energy needed to power a lightbulb
UC Santa Cruz researchers show that it is possible to eliminate the most computationally expensive element of running large language models, called matrix multiplication, while maintaining performance.
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Magy Seif El-Nasr appointed the UCSC Presidential Chair
Department Chair and Professor of Computational Media Magy Seif El-Nasr as the University’s next Presidential Chair to lead three initiatives related to AI and education.
