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Jason Corso

VentureBeat: May 24, 2024

Voxel51 secures $30M to help gen AI understand visual input more accurately

The startup company Voxel51, co-founded by Prof. Jason Corso and alum Brian Moore, is “designed to reduce the failure rate of AI projects.”
Medium: January 22, 2024

Navigating Academia to Startup: What Kind of Companies Do Scholars Create?

Prof. Jason Corso, CEO and co-founder of Voxel51, shares his experiences as a faculty entrepreneur.

Michigan and ECE advancing computer vision at CVPR 2023

Look at some of the ways ECE and other University of Michigan researchers are using computer vision for real-world applications.
TechCrunch: September 21, 2022

Voxel51 lands funds for its platform to manage unstructured data

TechCrunch features Voxel51, a startup founded by Prof. Jason Corso, which closed on $12.5m in Series A funding.
Medium: September 21, 2022

Announcing Our $12.5M Series A Funding to Bring Transparency and Clarity to the World’s Data

Voxel51, founded by Prof. Jason Corso, closed on $12.5M Series A funding to accelerate the next phase of their growth in bringing data-centric Machine Learning to the world.
August 12, 2021

FiftyOne Turns One!

ECE startup Voxel51 celebrates its 40,000 users for their open source dataset curation and model analysis tool, FiftyOne.
Medium: November 2, 2020

Introducing FiftyOne: A Tool for Rapid Data & Model Experimentation

Alum Brian Moore details Voxel51’s new (and open source!) tool for your machine learning toolbox
Click on Detroit: August 13, 2020

Ann Arbor-based Voxel51 launches industry’s first open-source experimentation tool

Ann Arbor-based artificial intelligence software company Voxel51 announced the launch of an open-source tool, called FiftyOne, that helps data scientists and machine learning engineers tackle the laborious process of image data management. The company was co-founded by Prof. Jason Corso and alumnus Dr. Brian Moore.
Forbes: July 13, 2020

How To Create An AI (Artificial Intelligence) Model

Prof. 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 Distancing

The 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 Distancing

The 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 Cities

ScreenRant 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 more

TechCrunch 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 Arbor

ClickonDetroit 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 conference

The 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.

ECE welcomes four new faculty for 2014-15 academic year

These faculty deepen ECE’s areas of expertise in computer vision, communications and information theory, environmental remote sensing, and laser-plasma interactions.