News by Faculty
Forbes: July 13, 2020
How To Create An AI (Artificial Intelligence) ModelProf. Jason Corso describes some key considerations that go into the design of a new AI model.
Computing Community Consortium: April 17, 2020
Computing Researchers Respond to COVID-19: Voxel51; A Means of Tracking Social DistancingThe Computing Community Consortium profiles the work done by Voxel51, a U-M startup led by Prof. Jason Corso, that uses custom AI to continuously track vehicle, cyclist, and pedestrian traffic in real time at some of the most visited places in the world to help the COVID-19 response.
Computer scientists employ AI to help address COVID-19 challenges
Five multidisciplinary research teams are working on projects to assist with the coronavirus outbreak and to help find solutions to pressing problems.
Governing: April 10, 2020
Company Uses Public Street Cams to Measure Social DistancingThe Ann Arbor, Mich., company, Voxel51, is using data from street cameras to measure social distancing across the world. The company hopes the data gets put to good use, “even if it’s only public awareness.”
ScreenRant: April 8, 2020
How To Watch The Grim Reality Of Physical Distancing In Major CitiesScreenRant profiles the work of Prof. Jason Corso’s startup, Voxel51, to track social distancing in cities.
TechCrunch: April 8, 2020
Tech for good during COVID-19: Texts for frontline workers, a crisis prevention hotline and moreTechCrunch highlights the work by Prof. Jason Corso’s startup, Voxel51, to track social distancing in cities.
Click on Detroit: April 8, 2020
Local AI startup creates platform to track social distancing in global cities — including Ann ArborClickonDetroit highlights the work by Prof. Jason Corso’s startup, Voxel51, to track social distancing in some of the busiest cities in the world.
Live public street cams are tracking social distancing
Voxel51, a U-M startup led by Prof. Jason Corso, uses custom AI to continuously track vehicle, cyclist, and pedestrian traffic in real time at some of the most visited places in the world.
CSE researchers present 9 papers at leading AI conferenceThe students and faculty submitted projects spanning several key application areas for AI.
Computer vision: Finding the best teaching frame in a video for fake video fightback
The frame in which a human marks out the boundaries of an object makes a huge difference in how well AI software can identify that object through the rest of the video.
Advancing AI for Video: Startup launches powerful video processing platform
Voxel51 uses AI processing to identify and track objects and activities through video clips.
ECE and data science: a natural connection
Electrical and Computer Engineering (ECE) faculty and students at Michigan are part of the revolution in data science that is happening today.
Prof. Jason Corso on artificial intelligence
The most exciting use of AI for me focuses around a better collective use of our available resources, says Corso.
Kyle Min awarded Towner Prize for Distinguished Academic Achievement
Kyle Min researches how computer vision can analyze law enforcement body cameras.
2018 EECS Outstanding Achievement awards
Congratulations to these recipients of the EECS Outstanding Achievement Award
$1.6M toward artificial intelligence for data science
DARPA is trying to build a system that can turn large data sets into models that can make predictions, and U-M is in on the project.
COVE: a tool for advancing progress in computer vision
Centralizing available data in the intelligent systems community through a COmputer Vision Exchange for Data, Annotations and Tools, called COVE.
ECE welcomes new engineering robotics center
The center, to be built on North Campus, will offer state-of-the-art facilities in a 3-story, 100,000 square foot building.
Jason Corso receives Google Faculty Research Award
Prof. Corso believes that this research could make it easier to search for certain types of videos on the web.