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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CMS
Yaser Abu-Mostafa
CNS
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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GALCIT
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ESE
FUTURE Ignited
Advancing Future Quantum Science Efforts
08-27-20
Five new Department of Energy centers will apply quantum information science to emerging technologies. The centers will develop cutting-edge quantum technologies for use in a wide range of possible applications including scientific computing; fundamental physics and chemistry research; and the design of solar cells and of new materials and pharmaceuticals. Caltech faculty will participate in four of the new science centers: the Quantum Systems Accelerator, led by the Lawrence Berkeley National Laboratory, also known as Berkeley Lab; the Quantum Science Center, led by Oak Ridge National Laboratory; Q-NEXT, led by Argonne National Laboratory; and the Co-design Center for Quantum Advantage, led by Brookhaven National Laboratory. [Caltech story]
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MedE
CMS
Oskar Painter
KNI
Andrei Faraon
AI for a Better Prediction COVID-19 Model
08-25-20
A team of Caltech students, led by Yaser Abu-Mostafa, Professor of Electrical Engineering and Computer Science, 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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Yaser Abu-Mostafa
CNS
Alexander Popov Receives 2020 Henry Ford II Scholar Award
06-30-20
Computer science student Alexander Popov, advised by Yaser Abu-Mostafa, Professor of Electrical Engineering and Computer Science, is a recipient of the 2020 Henry Ford II Scholar Award. Some of the most interesting classes that Alexander has taken at Caltech have been team-based interdisciplinary project classes. These classes have allowed him to gain experience working in teams with varying specialties, while designing and implementing interesting projects (for example, a robot arm designed to recognize users’ hand gestures and assist them in executing complicated drawing-related tasks, such as exactly copying an area of a whiteboard). This summer he will be working as a software engineer at Facebook. After graduation, he aims to work at a company where he is able to further develop his knowledge of machine learning and the application thereof. The Henry Ford II Scholar Award is funded under an endowment provided by the Ford Motor Company Fund. The award is made annually to engineering students with the best academic record at the end of the third year of undergraduate study.
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Henry Ford II Scholar Award
Yaser Abu-Mostafa
Alexander Popov
Katie Bouman Receives Okawa Research Grant
06-26-20
Katie Bouman, Assistant Professor of Computing and Mathematical Sciences and Electrical Engineering; Rosenberg Scholar, is a recipient of a 2020 Okawa Foundation Research Grant for her work on "AI Meets Real-World Science: Optimal Sensing for Next-Generation Imaging." This is a prize awarded to faculty involved in the fields of computer science, information systems and/or telecommunications, and other scientific fields inspired by these approaches. [Past Recipients]
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Katie Bouman