AI-Driven COVID-19 Model Outperforms Competitors
11-30-20
While existing models to predict the spread of a disease already exist, few, if any, incorporate artificial intelligence (AI). Yaser Abu-Mostafa, Professor of Electrical Engineering and Computer Science, is using a new model for predicting COVID-19's impact using AI and it dramatically outperforms other models, so much so that it has attracted the interest of public health officials across the country. "AI is a powerful tool, so it only makes sense to apply it to one of the most urgent problems the world faces," says Yaser Abu-Mostafa. [Caltech story]
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Yaser Abu-Mostafa
CNS
Robotics Engineers Take on COVID-19
11-18-20
Methods that were originally created to help robots to walk and autonomous cars to drive safely can also help epidemiologists predict the spread of the COVID-19 pandemic. Aaron Ames, Bren Professor of Mechanical and Civil Engineering and Control and Dynamical Systems, and colleagues took these tools and applied them to the development of an epidemiological methodology that accounts for human interventions (like mask mandates and stay-at-home orders). By utilizing the U.S. COVID-19 data from March through May, they were able to predict the infection wave during the summer to high accuracy. "This is the greatest health challenge to face our society in a generation at least. We all need to pitch in and help in any way we can," Ames says. [Caltech story]
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Aaron Ames
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Andrew Singletary
FUTURE Ignited
11-04-20
Nearly 200 undergraduates from more than 120 colleges and universities across the country joined Caltech for FUTURE Ignited, a virtual event that aimed to encourage students of color to pursue graduate studies in science and engineering. The goal of FUTURE Ignited is to diversify STEM with students of color who will go on to become incredible graduate students and scientific leaders in their respective fields. [Caltech story]
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FUTURE Ignited