News & Events


New Microchip Technology Could Be Used to Track Smart Pills


Azita Emami, Andrew and Peggy Cherng Professor of Electrical Engineering and Medical Engineering; Investigator, Heritage Medical Research Institute; and EAS Division Deputy Chair, along with her colleagues including Professor Mikhail Shapiro have developed microscale devices that relay their location in the body. "We wanted to make this chip very small with low power consumption, and that comes with a lot of engineering challenges," says Professor Emami. "We had to carefully balance the size of the device with how much power it consumes and how well its location can be pinpointed." [Caltech story]

Tags: EE research highlights MedE Azita Emami Mikhail Shapiro

First On-chip Nanoscale Optical Quantum Memory Developed


Andrei Faraon, Assistant Professor of Applied Physics and Materials Science, and colleagues have developed a computer chip with nanoscale optical quantum memory. "Such a device is an essential component for the future development of optical quantum networks that could be used to transmit quantum information," says Professor Faraon (BS '04). [Caltech story]

Tags: research highlights Andrei Faraon APh

Training a Machine to Watch Soccer


Yisong Yue, Assistant Professor of Computing and Mathematical Sciences, and colleagues have developed an algorithm that can automatically recognize formations of teams—how they arrange themselves on the field—when analyzing player tracking data. The algorithm can also imitate players' behavior. "We're training the algorithm to understand soccer at the same level that a fan would. It's not just mindlessly watching faceless players move across a field; it's watching strikers and right midfielders and forwards arrange themselves in specific formations," says Professor Yue. [Caltech story]

Tags: research highlights CMS Yisong Yue

How Friction Evolves During an Earthquake


Professor Ares Rosakis, and colleagues including Professor Nadia Lapusta and Research Scientist Vito Rubino, are studying the way friction changes along a fault during a seismic event by simulating quakes in a lab. "Our unique facility … allows us for the first time to study friction point-wise and without having to assume that sliding occurs uniformly, as is done in classical friction studies," Rosakis explains. Professor Lapusta adds, “some numerical models of earthquake rupture … have used friction laws with slip-velocity dependence… It is gratifying to see those formulations validated by the spontaneous mini-earthquake ruptures in our study. " [Caltech story]

Tags: research highlights GALCIT MCE Ares Rosakis Nadia Lapusta Vito Rubino

Visualizing the Complex Behavior of Vortices Surrounding Hummingbird Wings


Peter Schröder, the Shaler Arthur Hanisch Professor of Computer Science and Applied and Computational Mathematics, and his team have built a computational algorithm to model the behavior of vortices—rotating regions of fluids that form phenomena such as tornados or whirlpools. [Caltech story]

Tags: research highlights CMS Peter Schröder

Deep Learning Networks and Sensorimotor Control


Professor John Doyle and colleagues are among only nineteen groups in the United States to receive National Science Foundation (NSF) funding to conduct innovative research focused on neural and cognitive systems. They aim is to integrate the capabilities of deep learning networks into a biologically inspired architecture for sensorimotor control that can be used to design more robust platforms for complex engineered systems. [NSF release]

Tags: EE research highlights CMS John Doyle

Creature-Cataloging Contest for Computers


Caltech and Cornell teamed up to create the iNaturalist Challenge, a competition to create the best machine-learning algorithm for identifying the world's plant and animal species. The contest was an outgrowth of the institutions' previous work together on Visipedia, a visual encyclopedia created by a network of people and machine-learning computers that harvest image information off the internet. The technology was developed for the encyclopedia by Pietro Perona's Vision Group at Caltech and Serge Belongie's Computer Vision Group at Cornell Tech. [Caltech story]

Tags: EE research highlights CMS Pietro Perona

Neural Networks Model Audience Reactions to Movies


Yisong Yue, Assistant Professor of Computing and Mathematical Sciences, and colleagues have created a new deep-learning software capable of assessing complex audience reactions to movies using the viewer's facial expressions. "Understanding human behavior is fundamental to developing AI [artificial intelligence] systems that exhibit greater behavioral and social intelligence. For example, developing AI systems to assist in monitoring and caring for the elderly relies on being able to pick up cues from their body language. After all, people don't always explicitly say that they are unhappy or have some problem," Professor Yue says. [Caltech story]

Tags: research highlights CMS Yisong Yue

Holographic Imaging Could Be Used to Detect Signs of Life in Space


Jay Nadeau, Research Professor of Medical Engineering and Aerospace, and colleagues are exploring ways to sample and identify living microbes in the outer solar system. Her proposal is to use new microscopes on spacecraft that could visit the icy moons of Enceladus (Saturn) and Europa (Jupiter) and to collect and search water samples for life. [Caltech story]

Tags: research highlights GALCIT Jay Nadeau

Reflective Nanostructures


Andrei Faraon, Assistant Professor of Applied Physics and Materials Science, and colleagues have discovered how to use computer-chip manufacturing technologies to create the kind of reflective materials that make safety vests, running shoes, and road signs appear shiny in the dark. The new technology uses surfaces covered by a metamaterial consisting of millions of silicon pillars, each only a few hundred nanometers tall. By adjusting the size of the pillars and the spacing between them, Faraon can manipulate how the surface reflects, refracts, or transmits light. [Caltech story]

Tags: APhMS research highlights Andrei Faraon