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Your search for “Machine Learning” returned 532 results

Smart Earplug Company Developed by UC San Diego Undergrads Acquired by Bose

December 7, 2017

…valuable technical and market learnings from shipping a first-generation product from which to apply to Bose noise-masking sleepbuds,” Lee said. Daniel “Chesong” Lee, another of the three student founders, moved with Daniel Lee to Bose’s headquarters outside of Boston and is leading app development for the sleepbuds. The third team…

Future-proofing Software for Chemical Discovery

October 31, 2022

Computational chemistry affects everyday life more than most people might realize. It is used to develop drugs to treat diseases, generate data for environmental clean-up purposes, design solar energy technology, improve batteries, create enzymes to break down plastics and more.

$10M Grant from NSF Establishes Center for Trustworthy Machine Learning

October 24, 2018

…Science Foundation to make machine learning more secure. The grant establishes the Center for Trustworthy Machine Learning at a consortium of seven universities, including the University of California San Diego. Researchers will work together toward two goals: understanding the risks inherent to machine learning; and developing the tools, metrics and…

UC San Diego Computer and Data Scientists Named to ACM’s Latest Class of Fellows

May 22, 2024

UC San Diego bioinformatics researcher Vineet Bafna and machine learning and data analysis researcher Mikhail Belkin are among the 68 scientists worldwide named as Association of Computing Machinery (ACM) fellows.

UC San Diego Research Scientist Teams with TopCoder, NASA for Coding Challenge

September 13, 2013

…of challenge – inviting programmers worldwide to develop a machine-learning algorithm that would match human perception when picking out interesting features in satellite imagery used in Lin’s search for the lost burial site of Genghis Khan.

Machine Learning Helps Plasma Physics Researchers Understand Turbulence Transport

August 27, 2020

Physics researchers at UC San Diego successfully used machine learning techniques and supercomputer simulations to develop a new model for plasma turbulence o better understand its self-organization process.

Jill P. Mesirov Appointed Associate Vice Chancellor for Computational Health Sciences

June 24, 2015

Leading computational biologist Jill P. Mesirov, PhD, has been appointed associate vice chancellor for computational health sciences and professor of medicine at University of California, San Diego School of Medicine and Moores Cancer Center. Mesirov most recently served as associate director and chief informatics officer at the Broad Institute of…

Undergraduate Engineers Get Hands-on Experience with Autonomous Vehicles

October 11, 2018

…It’s one thing to learn about computer vision, machine learning, control systems, neural networks and tools like Python and TensorFlow in lectures, books or videos. It’s another to learn these skills by actually using them to build and test small autonomous vehicles. That’s what students are doing in a hands-on…

Using Machine Learning Models to Better Predict Bladder Cancer Stages

July 2, 2019

Bladder cancer, one of the most common cancers in the U.S., may be soon helped by a novel non-invasive diagnostic method thanks to machine learning research by researchers at UC San Diego’s San Diego Supercomputer Center and Moores Cancer Center.

Creative Computing

May 1, 2023

Professor Shlomo Dubmov is working on a project with researchers in Europe to enhance the creative relationship between humans and computers — by teaching computers to play improv jazz.

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