Smaller Chips May Depend on Vacuum Tube Technology


A recent New York Times article featured Caltech alumnus, Gordon Moore (PhD ’54), and the research of Professor Axel Scherer on ultrasmall vacuum tube as a candidate to replace the transistor. [Read the article]

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The Power of Entanglement


Fernando Brandão, Bren Professor of Theoretical Physics, studies how quantum computers may someday revolutionize computing and change the world's cryptographic systems. [Caltech interview]

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DNA Origami: Folded DNA as a Building Material for Molecular Devices


Paul Rothemund, Research Professor of Bioengineering, Computing and Mathematical Sciences, and Computation and Neural Systems, explains how his group and groups around the world are using DNA origami in applications ranging from potential cancer treatments to devices for computing. [Caltech interview]

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Caltech’s Smart Charging Network for Electrical Vehicles


Charging electric vehicles (EVs) can require a substantial amount of electricity (most EVs charge at 7 kilowatts, the equivalent of simultaneously running 70 desktop computers). Steven Low, Professor of Computer Science and Electrical Engineering, has developed Caltech's adaptive charging network, which uses a smart algorithm to coordinate the charging schedule with the Institute's existing electrical infrastructure. This program helps minimize energy usage and about 30 percent of the electricity at each charging station is from carbon-free renewable sources. [Caltech story]

Tags: EE energy research highlights CMS Steven Low

Toward a Smarter Grid


The power network of the future—also known as the smart grid—will have to be much more dynamic and responsive than the current electric grid, handling tremendous loads while incorporating intermittent energy production from renewable resources such as wind and solar, all while ensuring that when you or I flip a switch at home or work, the power still comes on without fail. An interdisciplinary group of engineers, economists, mathematicians, and computer scientists, including Professors Steven Low and Adam Wierman are working to develop the devices, systems, theories, and algorithms to help guide this historic transformation and make sure that it is properly managed. [Caltech feature]

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Professor Umans Named Simons Investigator in Computer Science


Christopher Umans, Professor of Computer Science, has been named a Simons Investigator in Computer Science by the Simons Foundation’s Mathematics and Physical Sciences Division. The award honors and supports "outstanding scientists in their most productive years, when they are establishing creative new research directions, providing leadership to the field and effectively mentoring junior scientists." Professor Umans’ research centers on algorithms and complexity. He has made contributions to the understanding of randomness in computation, and algorithms for fundamental algebraic problems which includes developing a group-theoretic approach for matrix multiplication. [List of awardees] [Caltech story]

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Professor Tropp Receives Pioneer Award


Joel A. Tropp, Professor of Applied and Computational Mathematics, will receive the Compressive Sampling Pioneer Award at this year’s International Society for Optics and Photonics - Defense Security and Sensing conference (SPIE. DSS). He is one of the first researchers to contribute to the field of sparse approximation, which is also known as compressive sampling. At the conference he will give a presentation on sampling theorems for structured signals, based on his paper entitled “Living on the Edge.”

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Engineering and Art


Students in Professor Hillary Mushkin’s media arts seminar (E/H/Art 89 New Media Arts in the 20th and 21st Centuries) have once again put on a unique exhibition highlighting art and engineering. The course provides a platform for an expanded understanding of engineering and an active, project-based engagement with art history.

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Quantum Code-Cracking


Thomas Vidick, Assistant Professor of Computing and Mathematical Sciences, researches quantum computing and specifically the computer science of quantum physics. He is trying to figure out how some of the principles of quantum computing can be applied right now, using today's technology. [Interview with Professor Vidick] [ENGenious article]

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Converting Data Into Knowledge


Yisong Yue, Assistant Professor of Computing and Mathematical Sciences, has focused his research in machine learning. He explains, “machine learning is the study of how computers can take raw data or annotated data and convert that into knowledge and actionable items, ideally in a fully automated way—because it's one thing to just have a lot of data, but it's another thing to have knowledge that you can derive from that data.” [Interview with Professor Yue] [ENGenious article]

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