The student's project targets critical moments where the next instruction in a program is only available in a slower type of memory.|Short Read

The analytical model, called Accelerometer, can be applied in the early stages of an accelerator’s design to predict its effectiveness before ever being installed.|Medium Read

The team will use fMRI to identify some of the underlying processes that occur when a code reviewer weighs in on a piece of software and its author.|Medium Read

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

How changing the rules of computing could lighten Big Data’s impact on the internet.|Medium Read

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

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

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

This round of funding strongly encourages pioneering work with the potential for major expansion.|Short Read

Tunable semiconductor could lead to faster, more efficient computers|Medium Read

Assistant Professor Yulin Pan has been awarded a MIDCE Catalyst Grant for his Ocean Wave Forecast project|Short Read

Comparing graphs the team's tool is up to an order of magnitude faster than competitive baselines.|Short Read