News & Events


AI-Driven COVID-19 Model Outperforms Competitors


While existing models to predict the spread of a disease already exist, few, if any, incorporate artificial intelligence (AI). Professor Yaser Abu-Mostafa 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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Solar Geoengineering May Not be a Long-Term Solution for Climate Change


Pumping aerosols into the atmosphere to reflect sunlight, thus cooling Earth, is one last-ditch method for dealing with climate change. According to new research, solar geoengineering may fail to prevent catastrophic warming in the long run. It would not prevent high atmospheric carbon dioxide concentrations from destabilizing low-lying clouds, opening the door to extreme warming. "Solar geoengineering ultimately may not fix the problem if high greenhouse gas emissions continue for more than a century," says Tapio Schneider, Theodore Y. Wu Professor of Environmental Science and Engineering; Jet Propulsion Laboratory Senior Research Scientist. [Caltech story]

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Robotics Engineers Take on COVID-19


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. Professor Aaron Ames 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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Ultrafast Camera Films 3-D Movies at 100 Billion Frames Per Second


Lihong Wang, Bren Professor of Medical Engineering and Electrical Engineering, has developed technology that can reach blistering speeds of 70 trillion frames per second, fast enough to see light travel. Just like the camera in your cell phone, though, it can only produce flat images. Now, Wang's lab has gone a step further to create a camera that not only records video at incredibly fast speeds but does so in three dimensions. [Caltech story]

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A Method to Map Brain Circuits in Real Time


A new approach called integrated neurophotonics could allow researchers to track the activity of all the neurons that make up a particular brain circuit. To deepen their understanding of the brain, neuroscientists must be able to map in great detail the neural circuits that are responsible for tasks such as processing sensory information or forming new memories. Now, a new approach may allow for the activity of all of the thousands to millions of neurons within a particular brain circuit to be observed in real time. Dense recording at depth—that is the key," says Michael Roukes, Frank J. Roshek Professor of Physics, Applied Physics, and Bioengineering. [Caltech story]

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New Device Powers Wearable Sensors Through Human Motion


Wei Gao, Assistant Professor of Medical Engineering, has been developing sensors as well as novel approaches to power them. Previously, he created a sensor that could monitor health indicators in human sweat that is powered by sweat itself. Now, Gao has developed a new way to power wireless wearable sensors: He harvests kinetic energy that is produced by a person as they move around. "Instead of using fancy materials, we use commercially available flexible circuit boards," he says. "This material is cheap and very durable and mechanically robust over long periods of time." [Caltech story]

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Machine Learning Speeds Up Quantum Chemistry Calculations


A new quantum chemistry tool, called OrbNet, uses machine learning, quantum-chemistry calculations that can be performed 1,000 times faster than previously possible, allowing accurate quantum chemistry research to be performed faster than ever before. OrbNet was developed through a partnership between Tom Miller, Professor of Chemistry, and Anima Anandkumar, Bren Professor of Computing and Mathematical Sciences. [Caltech story]

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Professor Gao Unveils Sensor that Rapidly Detects COVID-19 Infection Status, Severity, and Immunity


One feature of the COVID-19 virus that makes it so difficult to contain is that it can be easily spread to others by a person who has yet to show any signs of infection. Professor Wei Gao has developed a new type of multiplexed test (a test that combines multiple kinds of data) with a low-cost sensor that may enable the at-home diagnosis of a COVID infection through rapid analysis of small volumes of saliva or blood, without the involvement of a medical professional, in less than 10 minutes. "This is the only telemedicine platform I've seen that can give information about the infection in three types of data with a single sensor," Gao says. "In as little as a few minutes, we can simultaneously check these levels, so we get a full picture about the infection, including early infection, immunity, and severity." [Caltech story]

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Effective Pathway to Convert Greenhouse Gas into Valuable Products


A research team from Caltech and the UCLA Samueli School of Engineering has demonstrated a promising way to efficiently convert carbon dioxide into ethylene—an important chemical used to produce plastics, solvents, cosmetics, and other important products globally. They developed nanoscale copper wires with specially shaped surfaces to catalyze a chemical reaction that reduces greenhouse gas emissions while simultaneously generating ethylene. "The idea of using copper to catalyze this reaction has been around for a long time, but the key is to accelerate the rate so it is fast enough for industrial production," says William A. Goddard III, Charles and Mary Ferkel Professor of Chemistry, Materials Science, and Applied Physics. [Caltech story]

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Lab-Grown Earthquakes Reveal the Frictional Forces Acting Beneath Our Feet


Simulating an earthquake on a miniature scale in a laboratory known unofficially as the "seismological wind tunnel," engineers and seismologists have produced the most comprehensive look to date at the complex physics of friction driving destructive thrust-fault earthquakes. "Simulating earthquakes in a lab lets us observe how these brief and violent events grow and evolve by ‘slowing down' their motion through high-speed photography and optics," says Ares Rosakis, the Theodore von Karman Professor of Aeronautics and Mechanical Engineering. [Caltech story]

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