Daniel Lokshtanov’s work explores the limits of what computers can solve, paving the way for advances in artificial intelligence and computational efficiency.

A major advance reveals deep connections between the classes of problems that computers can — and can’t — possibly do. At first glance, the big news coming out of this summer’s conference on the ...

This blog is a continuation of the Building AI Leadership Brain Trust Blog Series which targets board directors and CEO’s to accelerate their duty of care to develop stronger skills and competencies ...

Karlo Doroc receives funding from a University of Melbourne Graduate Research Scholarship from the Faculty of Business and Economics, a Kinsman Scholarship, and Australian Government Research Training ...

Amazon just announced its new AI PhD Fellowship program, which will provide two years of funding for more than 100 PhD ...

In the 1980s, an inkling emerged among some scientists that very disparate phenomena might on some deep level be related. The weather, protein folding, computers, evolution, the stock market, the ...

Scientists have moved a step closer to being able to develop a computer model of the brain after developing a technique to map both the connections and functions of nerve cells in the brain together ...

The Electrical Engineering and Computer Science (EECS) Department is committed to excellence in teaching, research, and service. Distinguished faculty conduct world-class research and their ...