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A Promising Step in Returning Bipedal Mobility

08-19-19

Professors Aaron Ames and Joel Burdick have launched a new research initiative, RoAM (Robotic Assisted Mobility), aimed at restoring natural and stable locomotion to individuals with walking deficiencies that result from spinal cord injuries and strokes. RoAm unites robotic assistive devices—including exoskeletons and prostheses—with artificial intelligence (AI)-infused neurocontrol. "Bipedal walking is difficult to achieve in a stable fashion," says Professor Ames. "While crutches help users of the exoskeletons to stay upright, they undercut many of the health benefits that upright locomotion might otherwise provide. In addition, they do not allow users to do anything else with their hands while walking." [Caltech story]

Tags: research highlights MedE Yu-Chong Tai MCE CMS Joel Burdick Yisong Yue Aaron Ames

Undergraduate Fellowship Winner Will Study Artificial Intelligence and Machine-learning Applications for Health Care

06-12-19

Meera Krishnamoorthy, a senior in electrical engineering, has received a National Physical Science Consortium (NPSC) Fellowship that will fund up to six years of graduate training. Krishnamoorthy will be enrolling in a computer science PhD program at the University of Michigan, studying artificial intelligence and machine-learning applications for health care, such as turning complex medical data into actionable knowledge that ultimately improves patient care. "Engineering is a great way to solve problems in multiple disciplines," she says. Krishnamoorthy's interest in machine learning was sparked by coursework and a research project she worked with Professor Yisong Yue, and her academic advisor has been Professor Steven Low. [Caltech story]

Tags: EE honors CMS alumni Steven Low Yisong Yue Meera Krishnamoorthy

"Neural Lander" Uses AI to Land Drones Smoothly

05-23-19

Professors Chung, Anandkumar, and Yue have teamed up to develop a system that uses a deep neural network to help autonomous drones "learn" how to land more safely and quickly, while gobbling up less power. The system they have created, dubbed the "Neural Lander," is a learning-based controller that tracks the position and speed of the drone, and modifies its landing trajectory and rotor speed accordingly to achieve the smoothest possible landing. The new system could prove crucial to projects currently under development at CAST, including an autonomous medical transport that could land in difficult-to-reach locations (such as a gridlocked traffic). "The importance of being able to land swiftly and smoothly when transporting an injured individual cannot be overstated," says Professor Gharib who is the director of CAST; and one of the lead researchers of the air ambulance project. [Caltech story]

Tags: research highlights Morteza Gharib Yisong Yue Soon-Jo Chung Animashree Anandkumar

Creating a "Virtual Seismologist"

01-04-19

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]

Tags: research highlights CMS Yisong Yue Egill Hauksson Zachary Ross Men-Andrin Meier

Professor Yue Receives Okawa Research Grant

09-14-18

Yisong Yue, Assistant Professor of Computing and Mathematical Sciences, is a recipient of a 2018 Okawa Foundation Research Grant for his research project entitled "A Unifying Framework for Data-Driven Formal Methods & Control ". This grant honors outstanding young researchers working in the fields of information and telecommunications. [Past Recipients]

Tags: honors CMS Okawa Foundation Yisong Yue

Meet the 2017 Amazon Fellows

02-23-18

Four graduate students from the Computing and Mathematical Sciences (CMS) Department and one from the Electrical Engineering (EE) Department have been selected as 2017 Amazon Fellows. This fellows program is the result of a partnership between Caltech and Amazon AWS around Machine Learning and Artificial Intelligence. The EE fellow is Srikanth Tenneti who is exploring the potential of deep learning for Direction of Arrival applications, and extending Ramanujan Sums based techniques for multi-dimensional periodicity extraction. CMS graduate student Navid Azizan Ruhi is researching faster optimization algorithms for machine learning.  He is looking forward to visiting Amazon AI as a fellow and exchanging ideas with their researchers. Computer science graduate student Hoang Le is developing methods for efficient and intelligent sequential decision making in realistic systems. Florian Schaefer, whose focus is applied and computational mathematics, is researching the interface of statistical estimation and the design of fast algorithms. Control and dynamical systems graduate student Ellen Feldman, working with Professor Joel Burdick, has used part of the funding to present her research at the Society for Neuroscience annual meeting and looking forward to other future opportunities to share her research. 

Tags: EE honors CMS P. P. Vaidyanathan Babak Hassibi Joel Burdick Yisong Yue Navid Azizan Ruhi Hoang Le Ellen Feldman Florian Schaefer Srikanth Tenneti Houman Owhadi

Caltech and Disney Engineers Collaborate on Robotics

01-18-18

Caltech and Disney Research have entered into a joint research agreement to pioneer robotic control systems and further explore artificial intelligence technologies. Pietro Perona will work with Disney roboticist Martin Buehler to create navigation and perception software that could allow robotic characters to safely move through dense crowds and interact with people. Aaron Ames will work with Disney Research's Lanny Smoot to further explore robot autonomy and machine learning by creating objects that can self-navigate and perform stunts. Yisong Yue has been working with engineers from Disney Research on the use of machine learning to analyze the behavior of soccer players and to measure audience engagement. [Caltech story]

Tags: EE research highlights MCE CMS Pietro Perona Yisong Yue Aaron Ames

Best Poster Award At Neural Information Processing Systems Conference

12-20-17

CMS postdoctoral scholar Qi (Rose) Yu, working with Professor Anandkumar, and graduate student Stephan Zheng, working with Professor Yue, have won the Best Poster Presentation Award at the 2017 Neural Information Processing Systems (NIPS) Time Series Workshop. Dr. Yu works on the challenge of long-term forecasting in environments with nonlinear dynamics such as those involving climate and traffic data. She is tackling this challenge uses Tensor-Train RNN which are a novel family of neural sequence models that learn nonlinear dynamics directly using higher order moments and high-order state transition functions. [View her poster]

Tags: honors CMS Yisong Yue Animashree Anandkumar postdocs Qi (Rose) Yu Stephan Tao Zheng

AWS and Caltech Partner to Accelerate AI and Machine Learning

11-30-17

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]

Tags: CMS Adam Wierman Pietro Perona Joel Tropp Yisong Yue Aaron Ames Animashree Anandkumar

Training a Machine to Watch Soccer

08-25-17

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