Media Coverage
How new machine learning techniques could improve MRI scans
Jonathan (Jon) Tamir is developing machine learning methods to shorten exam times and extract more data from this essential — but often uncomfortable — imaging process.
UT is Working to End the Stigma Surrounding Mental Health and Offer Support
BY ROBYN ROSS IN FEATURES, JAN | FEB 2022
When the last slice of pizza had disappeared, the 30 students at the NAMI on Campus meeting quieted and turned their attention to their vice president, psychology junior Alexis McDonald. The agenda for this meeting in October 2018 included a talk about depressive disorders, followed by a National Alliance
UT-Austin researchers develop new communication chip to overcome poor signals in bad weather
Researchers in the Cockrell School of Engineering are developing a communication chip that is able to send signals in harsh weather and over greater distances.
The team is developing this technology for military use in the Air Force, said Ray Chen, electrical and computer engineering professor. Chen, who is leading the research team, said the
Graphene and Beyond: The Wonder Materials That Could Replace Silicon in Future Tech
Silicon is pretty great.
Testifying to its greatness is more than 70 years’ worth of steady progress in electronic computing, from the first primitive desktop calculators to that pocket-size supercomputer we call a smartphone.
Formulate silicon just right, shape it into a transistor, and it can be both a conductor and an insulator, depending on
Robots Have Become An Essential Part Of The War Against Covid-19
More recently, robots are being used for essential functions in the patient-care setting. Take for example Moxi, built by Texas-based Diligent Robotics.
Reducing energy use in neural networks
Dr. Atlas Wang is part of a research team that has developed a novel energy-efficient method for training DNNs, based on so-called ‘Early-Bird’ (EB) tickets, called an ‘EB Train.’
Shrinking massive neural networks used to model language
Texas ECE PhD student Tianlong Chen is the lead author of a study in artificial intelligence that posits that hidden within massive neural networks, leaner subnetworks exist that can complete the same task more efficiently. The study is co-authored by Texas ECE assistant professor Zhangyang "Atlas" Wang with others.
VMblog Expert Interview: Mohit Tiwari Talks Symmetry Systems Emerging from Stealth to Transform Data Store and Object Security
To better understand the company and the problems they are addressing, VMblog reached out to Mohit Tiwari, CEO at Symmetry Systems, to learn more.
