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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Advancing Future Quantum Science Efforts


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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AI for a Better Prediction COVID-19 Model


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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Anima Anandkumar Receives VentureBeat AI Research Award


Anima Anandkumar, Bren Professor of Computing and Mathematical Sciences, has received the 2020 VentureBeat AI Research Award. The award is given in recognition for outstanding contributions in the AI field, from advancing the work in ethics and fairness in AI, to trailblazing research critical to AI innovation, to ensuring young women entering the field have the opportunity and mentorship necessary to thrive. 

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Katie Bouman Receives Okawa Research Grant


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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IRCA Best Paper Awards


Two teams of Caltech researchers have won three International Conference on Robotics and Automation (ICRA) Best Paper Awards in multiple categories along with the overall best paper award. The ICRA is the largest and most prestigious robotics conference of the year. Awards are given on the basis of technical merit, originality, potential impact on the field, clarity of the written paper, and quality of the presentation. Maegan Tucker, Ellen Novoseller, Claudia Kann, Yanan Sui, Yisong YueJoel Burdick, and Aaron Ames, have won the ICRA Best Conference Paper Award and the ICRA Best Paper Award on Human-Robot Interaction (HRI) for their paper entitled "Preference-Based Learning for Exoskeleton Gait Optimization." Amanda Bouman, Paul Nadan, Matthew Anderson, Daniel Pastor, Jacob Izraelevitz, Joel Burdick, and Brett Kennedy, have won the ICRA Best Paper Award on Unmanned Aerial Vehicles for their paper entitled "Design and Autonomous Stabilization of a Ballistically Launched Multirotor." [Virtual Award Ceremony]

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Professor Vahala Elected to the National Academy of Engineering


Kerry J. Vahala, Ted and Ginger Jenkins Professor of Information Science and Technology and Applied Physics; Executive Officer for Applied Physics and Materials Science, has been elected to the National Academy of Engineering (NAE). Professor Vahala was elected for “research and application of nonlinear optical microresonators to the miniaturization of precision time and frequency systems." Election to the National Academy of Engineering is among the highest professional distinctions accorded to an engineer. Academy membership honors those who have made outstanding contributions to "engineering research, practice, or education, including, where appropriate, significant contributions to the engineering literature," and to "the pioneering of new and developing fields of technology, making major advancements in traditional fields of engineering, or developing/implementing innovative approaches to engineering education." [NAE release]

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Anandkumar Training Algorithms to Spot Online Trolls


Professor Anima Anandkumar, and research team have demonstrated that machine-learning algorithms can monitor online social media conversations as they evolve, which could one day lead to an effective and automated way to spot online trolling. "It was an eye-opening experience about just how ugly trolling can get. Hopefully, the tools we're developing now will help fight all kinds of harassment in the future," says Anandkumar. The research team includes Professor Michael Alvarez; Anqi Liu, postdoctoral scholar; Maya Srikanth, student; and Nicholas Adams-Cohen, Stanford University. [Caltech story]

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Caltech Announces the Schmidt Academy for Software Engineering


Caltech has launched the Schmidt Academy for Software Engineering to train the next generation of science-savvy software engineers and set new standards in scientific software. "This is a recognition that computing, software, and machine learning are going to play a very big role in science. Because Caltech is small and collaborative, we have the opportunity to really make a push in that direction," says Kaushik Bhattacharya, the Howell N. Tyson, Sr., Professor of Mechanics and Materials Science and vice provost. [Caltech release]

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Undergraduate Fellowship Winner Will Study Artificial Intelligence and Machine-learning Applications for Health Care


Meera Krishnamoorthy, a senior in electrical engineering, has received a National Physical Science Consortium (NPSC) Fellowship that will fund up to six years of graduate training. Krishnamoorthy will be enrolling in a computer science PhD program at the University of Michigan, studying artificial intelligence and machine-learning applications for health care, such as turning complex medical data into actionable knowledge that ultimately improves patient care. "Engineering is a great way to solve problems in multiple disciplines," she says. Krishnamoorthy's interest in machine learning was sparked by coursework and a research project she worked with Professor Yisong Yue, and her academic advisor has been Professor Steven Low. [Caltech story]

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