EECS: Computer Science and Engineering

More EECS: Computer Science and Engineering News
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Putting hardware accelerators to work with automatic code translation

Most programs in use today have to be completely rewritten at a very low level to reap the benefits of hardware acceleration. This system demonstrates how to make that translation automatic.|Medium Read
A server rack in a data center

Big data, small footprint

How changing the rules of computing could lighten Big Data’s impact on the internet.|Medium Read
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Programming team competes in North American Championship

U-M continues its tradition of competing hard in the world of programming, with its team competing at the ACM-ICPC National Finals.|Short Read
The summer sun rises on North Campus of the University of Michigan

Autonomous vehicles can be fooled to ‘see’ nonexistent obstacles

Vehicles that perceive obstacles that aren't really there could cause traffic accidents.|Short Read
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Andrew McCrabb recognized with Towner Prize

This award is presented to an outstanding graduate student in each degree program.|Short Read
Todd Austin

Todd Austin Named S. Jack Hu Collegiate Professor of Computer Science and Engineering

Prof. Austin is a creative, outside-the-box thinker who has produced a body of work that has had extraordinary impact in the area of computer architecture.|Short Read
Peter Chen

Peter Chen named interim chair of CSE

Professor Peter Chen assumes role of interim chair of the Computer Science and Engineering division. |Short Read

Real-time monitor tracks the growing use of network filters for censorship

The team says their framework can scalably and semi-automatically monitor the use of filtering technologies for censorship at global scale.|Medium Read
Prof. Reetuparna Das

Das recognized as outstanding researcher for work on computational caches

Computational caches are an emerging technology based on the use of a processors cache space to perform computations.|Short Read

Emotion recognition has a privacy problem – here’s how to fix it

Researchers have demonstrated the ability to “unlearn” sensitive identifying data from audio used to train machine learning models|Short Read

Generating realistic stock market data for deeper financial research

A team at Michigan proposed an approach to generating realistic and high-fidelity stock market data to enable broader study of financial markets|Medium Read
Jenna Wiens portrate

Jenna Wiens recognized with Sloan Research Fellowship

She was recognized for her work harnessing patient data to improve healthcare outcomes.|Short Read