Carnegie Mellon University

News

Media contact

Krista Burns
Assistant Director of Communications
412-268-5316
Email

Monday, December 17, 2018

Teaching drones how to learn on the fly

If you’ve ever been to the zoo with a four-year-old, you know how they curiously look around to understand what all of the new animals are: observing how a tiger looks like a cat or moving around to discover where a bear might be blending into its surroundings. Electrical and computer engineering (ECE) and CMU Silicon Valley Professor Bob Iannucci and ECE Ph.D. candidate Ervin Teng are asking how drones can mimic this behavior by becoming curious themselves. To do so, they are using machine learning and a simulation training tool to teach drones how to learn in real-time in what they call “autonomous curiosity.”
Tuesday, December 11, 2018

CyLab researchers quoted in NYT

CyLab's Marios Savvides, Lujo Bauer, Jason Hong, Kathleen Carley, Martin Carlisle, and Carolina Zarate were featured in a New York Times piece about various ongoing research thrusts in CyLab to help combat cyberattacks.
Tuesday, December 11, 2018

A universal memory

Professors Larry Pileggi and Jimmy Zhu were recently awarded a patent for a cutting-edge form of memory device which they’ve termed “magnetic shift register.”
Monday, December 03, 2018

One framework to rule them all

ECE Assistant Professor George Amvrosiadis is part of a team from CMU’s PDL and Los Alamos National Lab designing a record-breaking file system framework for the next era of supercomputing.
Monday, November 26, 2018

Strength training deep neural networks

Deep neural networks (DNNs) have grown popular with data-driven technological advances because they analyze and process incomprehensible sums of input. These systems are often swift and efficient. But given the amount of data processed, a DNN also encounters errors and slowdowns. To solve these issues, a team let by Pulkit Grover created a more efficient DNN called PolyDot coding.
Tuesday, November 20, 2018

Support Build18

Help us reach our goal of raising $6,000 to fund 20 teams for the build week in January 2019. Each accepted team receives a $300 budget for the parts for their project.
Load more articles