From autonomous robotics to state of-the-art computer vision, Caltech and Amazon have a lot in common, including the belief that pushing the boundaries of artificial intelligence (AI) and machine learning (ML) will not only disrupt industries, but it will fundamentally change the nature of scientific research. As part of this two-year renewable research collaboration, Amazon will provide both financial support, in the form of funding for graduate fellowships, and computing resources, in the form of AWS Cloud credits, to accelerate the work of faculty and students at Caltech in these areas. [AWS AI Blog]
Professor Venkat Chandrasekaran and graduate student Armeen Taeb have developed an empirical statewide model of the California reservoir network. This work offers reservoir managers insight on how to plan and respond to drought conditions. "The bread and butter of hydrology is using physical laws to describe water phenomena. But the behavior of these reservoirs is not solely determined by physical laws of the water cycle, but also by demands and what these reservoirs are being used for," Taeb explains. [Caltech story]
Animashree (Anima) Anandkumar, Bren Professor of Computing and Mathematical Sciences, develops efficient techniques to speed up optimization algorithms that underpin machine-learning systems. Speaking about the connections between industry and academia she explains,“bridging the gap between industry and academia is really important. It is a big part of what brought me to Caltech. The sooner we can take theory and deploy it practically, the faster innovation moves and the more impact it can have.” [Interview with Professor Anandkumar]
Take a deep dive into a crucial moment in technological history with Carver Mead, Gordon and Betty Moore Professor of Engineering and Applied Science, Emeritus. In this first of a series of videos being produced by the Caltech Archives, titled 'My First Chip’, Professor Mead tells the story of meeting Gordon Moore, who would soon predict that every year the semiconductor industry would double the number of transistors that could be fabricated on a commercial integrated circuit. Carver Mead and his students worked on the physics of ultra-small transistors, and showed that, in addition to allowing greater density, they ran faster and used less power. This work proved that Moore’s prediction did not violate any laws of physics, and it became known as 'Moore's Law'–the term coined and made famous by Professor Mead.
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]
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]
The student winners of the 2017 Demetriades - Tsafka - Kokkalis Prizes have been announced. Manuel Alejandro Monge Osorio received the prize in Biotechnology for his work with Professor Azita Emami which involves developing novel techniques for the miniaturization of implantable medical electronics in two important pillars: localization of medical devices and electrical stimulation. Pinaky Bhattacharyya was the recipient of the prize in Seismo-Engineering, Prediction, and Protection for his work with Professor Jim Beck investigating an information-theoretic approach to the problem of the optimal sensor placement for Bayesian system identification of structures using response time-history data. Bryan M. Hunter, working with Professor Harry Gray, received the prize in Environmentally Benign Renewable Energy Sources for his work on the development and characterization of a nickel-iron layered double hydroxide water oxidation catalyst with the goal of developing a solar-driven device for the synthesis of fuels, with hydrogen production as a target. The winner of the prize in Nanotechnology was Anupama Thubagere Jagadeesh whose research interests are focused on understanding the engineering principles behind designing and synthesizing programmable molecular machines.. Anupama’s graduate advisor was Professor Lulu Qian. The prize in Entrepreneurship was given to Ken Y. Chan who was advised by Professor Viviana Gradinaru. His research interests lie in developing tissue clearing technologies to render whole organs transparent for optical investigation..
Electrical Engineering alumna, Fei-Fei Li, who worked with Professor Pietro Perona has made Forbes’ list of 20+ leading women in Artificial Intelligence (AI) research. She is currently Chief Scientist of Artificial Intelligence & Machine Learning at Google Cloud. "We all have a responsibility to make sure everyone - including companies, governments and researchers - develop AI with diversity in mind,” Fei-Fei Li emphasized. [Forbes article]
A day-long event focused on providing startups and companies with a chance for meaningful interactions with undergraduate and graduate students, providing students with an opportunity to find out more about the breadth of applications for computing and mathematical sciences across industries.
Meeting of the Minds
A day-long research conference featuring talks, laboratory open houses, and poster presentations by distinguished faculty, advanced graduate students, undergraduates, and researchers from JPL showcasing the latest and most exciting work that is underway in CMS