Caltech has recognized alumnus William Dally (PhD ’86, Computer Science) with the Distinguished Alumni Award, the highest honor regularly bestowed by the Institute. Dally was recognized “for his significant contributions to the architecture of interconnection networks. He developed much of the technology found in modern interconnection networks including wormhole routing, virtual-channel flow control, global adaptive routing, modern network topology, deadlock analysis, performance analysis, fault-tolerance methods, and equalized high-speed signaling.” [Caltech story] [Distinguished Lecture at Caltech]
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
Professor Yisong Yue is collaborating with Caltech seismologists to use artificial intelligence (AI) to improve the automated processes that identify earthquake waves and assess the strength, speed, and direction of shaking in real time. Professor Yue explains, “the reasons why AI can be a good tool have to do with scale and complexity coupled with an abundant amount of data. Earthquake monitoring systems generate massive data sets that need to be processed in order to provide useful information to scientists. AI can do that faster and more accurately than humans can, and even find patterns that would otherwise escape the human eye.” [Read the full Q&A]
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]
In a recent Techer interview Electrical Engineering alumna Fei-Fei Li (PhD ’05) explains, “As we see artificial intelligence impacting the real world, it’s no longer a niche computer science, technical field. Policymakers, business leaders, educators, social scientists—they all need to take part and guide the future of A.I.” [Check out the full interview]
"Projections with current climate models—for example, of how features such as rainfall extremes will change—still have large uncertainties, and the uncertainties are poorly quantified," says Professor Tapio Schneider, principal investigator of the Climate Modeling Alliance (CliMA). "For cities planning their stormwater management infrastructure to withstand the next 100 years' worth of floods, this is a serious issue; concrete answers about the likely range of climate outcomes are key for planning." The new climate model will be built by a consortium of researchers led by Caltech, in partnership with MIT; the Naval Postgraduate School (NPS); and JPL, which Caltech manages for NASA. It will use data-assimilation and machine-learning tools to improve itself in real time, harnessing both Earth observations and the nested high-resolution simulations. "The success of computational weather forecasting demonstrates the power of using data to improve the accuracy of computer models; we aim to bring the same successes to climate prediction," says Professor Andrew Stuart. [Caltech story]
Caltech has awarded the inaugural Milton and Rosalind Chang Career Exploration Prize to EAS undergraduate alumnus, Sean McKenna (BS ’17, ACM) for his proposed project “Exploring Ways to Tackle California’s Housing Crisis.” McKenna plans to spend the next year connecting with residents, housing developers, homeless shelters, technology innovators, and policymakers in California and Washington, DC to learn more about the roots of the housing crisis. He is grateful for the “incredible amount of freedom" the Chang Prize will give him "to figure out how the skills and passions I developed at Caltech might translate into making a difference in the housing crisis, a problem that is very real for me, other Techers, and all residents of California.” [Alumni Association story]
Thanks to Professor Pietro Perona and his graduate students including Grant Van Horn and Sara Beery, the next wildlife photo you snap might set you on a path to helping map life on Earth. “The whole web, this huge repository of wonderful information, is indexed by words,” Perona says. “But when we have an image—a visual query—we don’t know what to do unless there is an expert next to us. We’ve gotten so numb to the idea that we’ll never find the answer out.” [Breakthrough story]
Alumnus Yong Sheng Soh (PhD ’18, ACM), advised by Professor Venkat Chandrasekaran, has won the 2018 INFORMS Optimization Society Student Prize for his paper entitled Learning Semidefinite-Representable Regularizers. Regularization-based algorithms are widely used in the solution of data-driven inverse problems arising in statistics, operations research, signal processing, and machine learning. These approaches typically require a great deal of prior domain-specific expertise about the structure of the underlying problem. Such expertise is especially challenging to obtain in the modern era of 'Big Data' in which our ability to sense all manner of phenomena and produce massive datasets far exceeds our ability to understand the underlying mechanisms governing the phenomena. In his award-winning work, which has been accepted for publication at the Journal of the Foundations of Computational Mathematics, Yong Sheng has developed a new framework for learning suitable regularization methods directly from data rather from human-provided expertise. [INFORMS Optimization Society Award] [Read the paper]
Alan Barr, Professor of Computer Science, and Peter Schröder, Shaler Arthur Hanisch Professor of Computer Science and Applied and Computational Mathematics, have been elected to the first class of the ACM SIGGRAPH Academy. Professor Barr was selected for his contributions to graphics, primarily for extending computer graphics shape modeling to include physically based and teleological modeling. Professor Schröder was recognized for his pioneering work in geometry processing and multiresolution modeling. The ACM SIGGRAPH Academy is an honorary group of individuals who have made substantial contributions to the field of computer graphics and interactive techniques. These are principal leaders of the field, whose efforts have shaped the disciplines and/or industry, and led the research and/or innovation in computer graphics and interactive techniques. [Full list of academy members]
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