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Your search for “Machine Learning” returned 409 results

KnuEdge and UC San Diego Announce New Academic Workshop on Heterogeneous Neural Networks

October 17, 2016

KnuEdge and Calit2 workshop to focus on development of next-generation computing architectures to power machine learning.

Incoming Graduate Student Co-Authors Guide to ‘Machine Learning for Humans’

August 23, 2017

Samer Sabri is an incoming first-year M.S. student in Computer Science at the University of California San Diego. He is part of a two-person writing team that developed “Machine Learning for Humans,” an easy-to-read online primer about machine learning that went live on the website Medium on August 19.

Computers in a Jazz Ensemble? Inventing Improvisational AI

January 13, 2022

Project REACH: Raising Co-creativity in Cyber-Human Musicianship is teaching computers how to improvise, musically.

Supercomputers Pave the Way for New Machine Learning Approach

August 29, 2019

Researchers at SDSC, LANL, and UNC Chapel Hill have developed a machine learning approach called transfer learning that lets them model novel materials by learning from data collected about millions of other compounds.

$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…

Artificial Intelligence Catalyzes Gene Activation Research and Uncovers Rare DNA Sequences

May 18, 2023

Biologists have used machine learning, a type of AI, to identify “synthetic extreme” DNA sequences with specifically designed functions in gene activation. They tested 50 million DNA sequences and found synthetic DNA sequences with activities that could be useful in biotechnology and medicine.

How a Yeast Cell Helps Crack Open the “Black Box” Behind Artificial Intelligence

March 5, 2018

…hierarchy of these cellular components. Then they mapped standard machine learning algorithms to this knowledgebase. DCell can be viewed at d-cell.ucsd.edu. The technical details are published March 5 in Nature Methods.

Using Machine Learning to Create More Capable Capacitors

June 27, 2019

Researchers at the Georgia Institute of Technology are using supercomputers and machine learning techniques to find ways to build more capable capacitors that store more energy.

Kamalika Chaudhuri: Quantifying the Price of Privacy

June 20, 2012

The data avalanche brought about by the digital revolution has made it possible to harness vast datasets for everything from statistical analysis to teaching machines to recognize patterns and respond in ‘intelligent’ ways.

Engineers receive $1 million grant to improve the way robots interact with people in U.S. factories

September 13, 2016

…make it easier for machines to work alongside people. The goal of the project is to design an intelligent material delivery system, which supports and closely integrates with skilled workers in factories. The researchers will investigate innovative, multi-disciplinary approaches to dramatically advance the state of the art in smart manufacturing…

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