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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EE
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CMS
Yaser Abu-Mostafa
CNS
Collecting Hot Carriers: New Process Harvests Excited Quasiparticles
08-12-20
Harry Atwater, Howard Hughes Professor of Applied Physics and Materials Science; Director, Joint Center for Artificial Photosynthesis, has developed a way to eke more energy out of solar power by collecting freshly charged particles before they have an opportunity to cool off. This fundamental research could one day help scientists harvest energy from the sun more efficiently than by the natural photosynthesis used by plants. "If hot carriers, transporting more energy, could be captured, we would be able to wring three to four times as much energy from solar power," says Atwater. [Caltech story]
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Harry Atwater
KNI
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. Julia R. Greer, Ruben F. and Donna Mettler Professor of Materials Science, Mechanics and Medical Engineering; Fletcher Jones Foundation Director of the Kavli Nanoscience Institute, 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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MCE
Julia Greer
KNI
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
CNS
Soon-Jo Chung
postdocs
Benjamin Rivière
Guanya Shi
Wolfgang Hönig
Optical Microcomb Device May Result in Improved Telecommunications, Sensors, Clocks
06-19-20
Modern telecommunications often makes use of multiple lasers of different colors to transmit data, but a new device the size of a cigarette pack can replace them. A team of researchers from Caltech, UC Santa Barbara, and the Swiss Federal Institute of Technology Lausanne (EPFL) have developed a new device that will lead to improved optical data transmission and could have applications ranging from communications to the miniaturization of time standards or to the search for exoplanets. Their device converts laser light of a single frequency into an evenly spaced set of many distinct frequencies (a comb of frequencies). The resulting optical frequency microcomb is built from a single piece of silicon, in much the same way as computer chips. And its many colors can replace many separate lasers for data transmission. "The new approach makes the process as easy as switching on a room light," says co-author Kerry Vahala, Ted and Ginger Jenkins Professor of Information Science and Technology and Applied Physics and executive officer for Applied Physics and Materials Science. [Caltech story]
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Kerry Vahala
KNI
Seeing Through Opaque Media
05-12-20
Changhuei Yang, Thomas G. Myers Professor of Electrical Engineering, Bioengineering, and Medical Engineering, has developed a technique that combines fluorescence and ultrasound to peer through opaque media, such as biological tissue. "We hope that one day this method can be deployed to extend the operating depth of fluorescence microscopy and help image fluorescent labeled cells deep inside living animals," says Yang. [Caltech story]
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EE
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Changhuei Yang
MedE
KNI
New Ultrafast Camera Takes 70 Trillion Pictures Per Second
05-04-20
A new camera developed by Lihong Wang, Bren Professor of Medical Engineering and Electrical Engineering, is capable of taking as many as 70 trillion frames per second. The camera technology, which Wang calls compressed ultrafast spectral photography (CUSP), combines a laser that emits extremely short pulses of laser light that last only one quadrillionth of a second (one femtosecond) with optics and a specialized type of camera. The technology could open up new avenues of research in fields that include fundamental physics, next-generation semiconductor miniaturization, and the life sciences. "We envision applications in a rich variety of extremely fast phenomena, such as ultrashort light propagation, wave propagation, nuclear fusion, photon transport in clouds and biological tissues, and fluorescent decay of biomolecules, among other things," Wang says. [Caltech story]
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MedE
KNI
Lihong Wang