AI for a Better Prediction COVID-19 Model
08-25-20
A team of Caltech students, led by Professor Yaser Abu-Mostafa, have developed a tool to predict the impact of COVID-19 using artificial intelligence (AI). While many models to predict the spread of a disease already exist, few if any incorporate AI, which makes predications based on observations of what is actually happening as opposed to what the model's designers think should happen. AI has the power to discover patterns hidden in data that the human eye might not recognize. [Caltech story]
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EE
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CMS
Yaser Abu-Mostafa
A Pathway to Longer-Lasting Lithium Batteries
08-06-20
The energy density of batteries have been a major challenge for consumer electronics, electric vehicles, and renewable energy sources. Professor Julia R. Greer has made a discovery that could lead to lithium-ion batteries that are both safer and more powerful. Findings provide guidance for how lithium-ion batteries, one of the most common kinds of rechargeable batteries, can safely hold up to 50 percent more energy. "Every power-requiring application would benefit from batteries with lithium instead of graphite anodes because they can power so much more," says Greer. "Lithium is lightweight, it doesn't occupy much space, and it's tremendously energy dense." [Caltech story]
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APhMS
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MCE
Julia Greer
Ari Rosner Develops Tool That Configures Socially-Distanced Students In Classrooms
07-31-20
Mechanical engineering student Ari Rosner, has developed an interactive Excel worksheet powered by advanced algorithms to help schools with social distancing in classrooms. Schools can plug a room’s dimensions and social distancing parameters into the worksheet, and the most efficient configuration of students for a designated classroom would automatically be mapped out. Rosner’s model situates students in rows or in a hexagonal pattern, depending on a room’s shape, in order to safely maximize space. "I cried when I saw how this worked," said Rachael Burton, the development director at a small private school in Brooklyn, New York. "I knew Ari’s mathematical chart could save our lives." [Forbes story]
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MCE
Ari Rosner
Machine Learning Helps Robot Swarms Coordinate
07-14-20
Soon-Jo Chung, Bren Professor of Aerospace, Yisong Yue, Professor of Computing and Mathematical Sciences, postdoctoral scholar Wolfgang Hönig, and graduate students Benjamin Rivière and Guanya Shi, have designed a new data-driven method to control the movement of multiple robots through cluttered, unmapped spaces, so they do not run into one another. "Our work shows some promising results to overcome the safety, robustness, and scalability issues of conventional black-box artificial intelligence (AI) approaches for swarm motion planning with GLAS and close-proximity control for multiple drones using Neural-Swarm," says Chung. [Caltech story]
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GALCIT
CMS
Yisong Yue
Soon-Jo Chung
postdocs
Benjamin Rivière
Guanya Shi
Wolfgang Hönig