In the News

CNN August 28, 2019

Yes, tech companies may listen when you talk to your virtual assistant. Here’s why that’s not likely to stop

Prof. Jason Mars weighs in.
TechCrunch August 23, 2019

Researchers look into keeping autonomous vehicles from becoming mobile vomitoriums

UMTRI Assistant Research Scientist Monica Jones details research that aims to cut down on carsick passengers in autonomous vehicles.
CNN August 23, 2019

Yes, tech companies may listen when you talk to your virtual assistant. Here’s why that’s not likely to stop

EECS-CSE professor Florian Schaub explains privacy concerns that stem from assistants like Alexa.
Scientific American August 21, 2019

How to Defraud Democracy

Prof. J. Alex Halderman writes a worst-case cyberwarfare scenario for the 2020 American presidential election.
Crain's Detroit Business August 14, 2019

AI video recognition startup nabs $2 million in seed round

EECS Prof. Jason Corso's company, Voxel51, receives investment from eLab Ventures, a Silicon Valley and Ann Arbor-based venture capital fund started by U-M alums.
Michigan Radio August 13, 2019

Climate disruption is here; what does it mean for Michigan?

CLaSP professor Richard Rood explains how climate change will impact Michigan.
Politico August 12, 2019

Researchers wrote an algorithm that can undetectably change scanned ballot images

Digital images of scanned-in paper ballots can be easily modified to change the results of an election, according to research published by Prof. J. Alex Halderman.
Bloomberg August 6, 2019

Ford Buys Defense Contractor to Get Robot Rides on the Road

Quantum Signal will still operate independently, with its own human resources department, and continue to be run by co-founder and ECE Council Member Mitchell Rohde (BSE MSE EE 1994 1996; MSE PhD BME 1997 2000).
US Army August 5, 2019

Army-funded researchers earn top scientific honors

U.S. Army announces Prof. Alfred Hero's 2020 IEEE Fourier Award for Signal Processing.
August 1, 2019

Michigan co-launches competition to help build the next generation of AI-driven dialog systems

IBM Research AI and the University of Michigan are spearheading the development of algorithms that can learn goal-oriented dialog interactions effectively from human-to-human chatlogs by organizing a public competition to inspire and evaluate novel approaches that will lead to the next generation of AI-driven dialog systems.
August 1, 2019

Overcoming Challenges in Building Enterprise AI Assistants

U-M researchers including Prof. Walter Lasecki, postdoc Jonathan Kummerfeld, and PhD student Sai Gouravajhala partnered with IBM research to address one of the main challenges in existing state-of-the-art AI assistants. Their paper works to disentangle conversations that are mixed together in a single stream of messages.
IEEE Spectrum July 31, 2019

First programmable memristor computer

EECS-ECE professor Wei Lu explains the power of his lab's new memristors.