Computer Scientists Create Reprogrammable Molecular Computing System
03-20-19
Erik Winfree, Professor of Computer Science, Computation and Neural Systems, and Bioengineering, and colleagues have designed DNA molecules that can carry out reprogrammable computations, for the first time creating so-called algorithmic self-assembly in which the same "hardware" can be configured to run different "software." Although DNA computers have the potential to perform more complex computations than the ones featured in the Nature paper, Professor Winfree cautions that one should not expect them to start replacing the standard silicon microchip computers. That is not the point of this research. "These are rudimentary computations, but they have the power to teach us more about how simple molecular processes like self-assembly can encode information and carry out algorithms. Biology is proof that chemistry is inherently information-based and can store information that can direct algorithmic behavior at the molecular level," he says. [Caltech story]
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Erik Winfree
Electrical Engineering Student Selected for 2019 Knight-Hennessy Scholars Class
03-06-19
Kavya Sreedhar, a senior double majoring in electrical engineering and business, economics, and management, has been named to this year's class of Knight-Hennessy Scholars, a graduate-level scholarship program founded by Stanford University. The program aims to develop a community of future global leaders to address complex challenges through collaboration and innovation. Sreedhar will receive a scholarship providing full tuition, room and board, and a living stipend while she pursues a PhD in electrical engineering. Her graduate work will be focused on circuits and hardware research for machine learning and artificial intelligence applications. She is joined by 67 other students chosen from a pool of 4,424 applicants for the program's 2019 cohort. [Caltech story]
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Kavya Sreedhar
Ali Hajimiri Wins Feynman Prize for Excellence in Teaching
02-14-19
Ali Hajimiri, Bren Professor of Electrical Engineering and Medical Engineering; Co-Director, Space-Based Solar Power Project, has won the 2019 Feynman Prize for Excellence in Teaching. Caltech's most prestigious teaching honor, the prize was established in 1993 "to honor annually a professor who demonstrates, in the broadest sense, unusual ability, creativity, and innovation in undergraduate and graduate classroom or laboratory teaching." [Caltech story]
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Ali Hajimiri
Professor Vaidyanathan Elected to the National Academy of Engineering
02-07-19
P. P. Vaidyanathan, Kiyo and Eiko Tomiyasu Professor of Electrical Engineering, has been elected to the National Academy of Engineering (NAE). Professor Vaidyanathan was elected for “contributions to digital filter bank theory and design.” 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] [Caltech story]
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National Academy of Engineering
P. P. Vaidyanathan
New Materials Exhibit Split Personality
02-01-19
Julia Greer, Professor of Materials Science, Mechanics and Medical Engineering, and colleagues have determined that the failure of architected materials—the point at which they break when compressed or stretched—can be described using classical continuum mechanics, which models the behavior of a material as a continuous mass rather than as individual (or "discrete") particles. This finding implies a duality to the nature of these materials—in that they can be thought of both as individual particles and also as a single collective. [Caltech story]
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Julia Greer
Meet the 2018 Amazon Fellows
01-16-19
The Amazon Fellows program is the result of a partnership between Caltech and Amazon AWS around Machine Learning and Artificial Intelligence (AI). The 2018 Amazon fellows are Ehsan Abbasi, Gautam Goel, Jonathan Kenny, Palma London, and Xiaobin Xiong. Abbasi is interest in contributing to a deeper understanding of convex and non-convex learning methods in AI and is an Electrical Engineering graduate student working with Professor Babak Hassibi. Goel’s research interest is at the interface of the theory and practice of machine learning and is advised by Professor Adam Wierman. London is also working with Professor Wierman. She is developing efficient algorithms for solving extremely large optimization problems. The methods are applicable to distributed and parallel optimization. For example in a distributed data center setting, the algorithms are robust to unreliable data transfer between data centers and take into account privacy concerns. Kenny is a Computation & Neural Systems graduate student working with Professor Thanos Siapas on deep neural networks to identify and classify brain states. Xiong is a mechanical engineering graduate student who enjoys working on real physical robots, to make them walk, jump, and run in real life. He is advised by Professor Aaron Ames and their research is focused on robotic bipedal locomotion
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Adam Wierman
Babak Hassibi
Thanos Siapas
Aaron Ames
Ehsan Abbasi
Gautam Goel
Jonathan Kenny
Palma London
Xiaobin Xiong
Professor Anandkumar Receives 2018 Good Tech Award
12-22-18
Professor Animashree (Anima) Anandkumar has been recognized by the New York Times “good tech” awards as a leading Artificial intelligence (A.I.) researchers who uses “ technology to help others in real, tangible ways.” The New York Times article states, “Artificial intelligence will be one of the most important areas of computer science in the coming years. It’s also one of the least diverse. Just 12 percent of A.I. researchers are women, and the number of black and Latino executives in the field is vanishingly small… Anandkumar, Nvidia’s director of machine learning research and a professor at Caltech, saw that the name of the A.I. field’s marquee annual event — the Neural Information Processing Systems conference, or NIPS — had been used as fodder for sexist jokes. So she started a #ProtestNIPS campaign to change the name, and drew up a petition that gathered more than 2,000 signatures. Eventually, the conference’s board relented, and the event is now abbreviated as “NeurIPS.” It was a small gesture of inclusion that could go a long way toward making women feel more welcome in the field for years to come.” [NYTimes article] [Tensorial-Professor Anima on AI]
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Animashree Anandkumar
