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Your search for “Deep Learning” returned 777 results

A Deep Look into the New World of COVID-19 Innovation

February 18, 2021

A Deep Look into the New World of COVID-19 Innovation Chancellor to join panel on Feb. 25 highlighting groundbreaking initiatives across campus and research labs It’s been more than a year since our news feeds first alerted us to a mysterious illness and its rapid spread. Since then, the COVID-19…

Hooked on Learning

October 2, 2014

Hooked on Learning Popular online class offers practical tips based on brain-based research on how to improve learning skills Learning How to Learn,” the most popular massive open online course (or MOOC) offered by UC San Diego to date, is starting again Oct. 3. Based on research in neuroscience and…

A Deep Learning Tool for Personalized Workout Recommendations from Fitness Tracking Data

April 22, 2019

Computer scientists at the University of California San Diego have developed FitRec, a recommendation tool powered by deep learning, that is able to better estimate runners’ heart rates during a workout and predict and recommend routes.

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.

UC San Diego Health Supports Statewide Rollout of CA Notify Exposure Notification System

December 7, 2020

The California governor’s office today announced a statewide expansion to make CA Notify available to all Californians starting Thursday, December 10 in partnership with UC San Diego Health.

Using Artificial Intelligence to Learn More about RAGE Receptors

March 31, 2020

A new study by SDSC researchers describes the use of artificial intelligence machine learning tools to demonstrate a potential RAGE inhibitor that has better efficacy and fewer side effects.

New Algorithm Improves Speed and Accuracy of Pedestrian Detection

February 8, 2016

Electrical engineers at the University of California, San Diego have developed a pedestrian detection system that performs in near real-time and with higher accuracy than existing systems. The technology, which incorporates deep learning models, could be used in “smart” vehicles, robotics and image and video search systems.

Engineers Use Graph Networks to Accurately Predict Properties of Molecules and Crystals

June 10, 2019

Nanoengineers at UC San Diego have developed new deep learning models that can accurately predict the properties of molecules and crystals. They can enable researchers to rapidly scan the nearly-infinite universe of compounds to discover potentially transformative materials for various applications.

Firing Up Fire Detection Efforts with Deep Learning Models

August 22, 2023

Researchers at the San Diego Supercomputer Center have developed new deep learning models to continue improving efforts for early wildfire detection. These efforts at SDSC are led by the WIFIRE Lab, which is an all-hazards knowledge cyberinfrastructure developed as a management layer for data…

Software System Labels Coral Reef Images in Record Time

January 10, 2017

…new version of the system, dubbed CoralNet Beta, includes deep learning technology, which uses vast networks of artificial neurons to learn to interpret image content and to process data.

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