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Data Science, Artificial Intelligence, and the Human Brain: At a Tipping Point?

Electronic computers have existed for about as long as most of us at Osher. Whereas a human’s intellectual abilities become fully realized in a decade or two, it is only recently that computers have achieved the ability to process huge amounts of data, look for complex patterns, and analyze them nearly instantaneously. We are at a tipping point in realizing the changes to our lives that will result. This series by researchers from UC San Diego will present examples from several disciplines, giving us better insight into their promise, limitations, and potential impact.

April 11: Fighting Wildfires with Data Science

Ilkay Altintas, PhD

The new era of data science is here. Our lives and society are continuously transformed by our ability to collect data in a systematic fashion and turn it into value. This talk will focus on an integrated system for wildfire analysis, called WIFIRE, funded by the National Science Foundation. The system integrates networked observations, such as heterogeneous satellite data and real-time remote-sensor data, with computational techniques in signal processing, machine learning, workflow automation, visualization, modeling, and data assimilation to provide a scalable method to monitor, predict, and visualize a wildfire's rate of spread.

Presenter: Ilkay Altintas is the Chief Data Science Officer of the San Diego Supercomputer Center (SDSC) at UC San Diego, where she leads the strategic coordination of all computational data science activities at SDSC. Altintas received her PhD from the University of Amsterdam with an emphasis on workflow-driven collaborative science.

May 2: Artificial Intelligence in Support of Healthy Aging

Professors Laurel Riek, Tajana Šimuni? Rosing, and Virginia de Sa

Today people are living longer, active lives, reshaping how we think about aging. Even though a large majority of older adults wish to remain in their homes, over 70 percent end up needing long-term care at a cumulative cost of about $150 billion a year. Five out of the top seven reasons why people move to assisted-living facilities are related to cognitive changes. The best solution to this challenge is early detection of cognitive changes and interventions that can slow them down. The UCSD-IBM Artificial Intelligence for Healthy Living Center (AIHL) is starting a longitudinal five-year study of the effect that daily habits, the environment, genetics, and the microbiome have on the cognition of older adults. The study will model the subtle changes of aging and will deploy personalized health interventions using cognitive robots to support independent living.

Presenters: Tajana Šimunic Rosing is currently Professor, Fratamico Endowed Chair, and a director of the System Energy Efficiency Lab at UCSD, and co-director of the Artificial Intelligence for Healthy Living Center.

Laurel Riek is Associate Professor of Computer Science and Engineering at UCSD, where she also holds an appointment in the Department of Emergency Medicine. She is a roboticist who focuses on building systems able to sense, respond, and adapt to people. She received her PhD in Computer Science from the University of Cambridge.

Virginia de Sa is Associate Professor of Cognitive Science at UCSD. Riek and de Sa jointly lead the Healthy Aging research project for AIHL.

Coordinator: Jeanne Ferrante

Course Number: OSHR-70059   Credit: 0 units


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