The constant scaling of AI applications and other digital technologies across industries is beginning to tax the energy grid ...

Like any complex system, however, there is always room for improvement and optimization, according to Rui Zhang, assistant professor of computer science and engineering in the Penn State School of ...

Researchers at UCLA and UC Riverside have demonstrated a new approach that overcomes these hurdles to solve some of the most difficult optimization problems. The team designed a system that processes ...

A quantum computer can solve optimization problems faster than classical supercomputers, a process known as "quantum advantage" and demonstrated by a USC researcher in a paper recently published ...

Princeton chemists and computer scientists teamed up to develop open-source software that provides them with a state-of-the-art optimization algorithm to use in everyday work, folding what’s been ...

Computer scientists have shown that existing compilers, which tell quantum computers how to use their circuits to execute quantum programs, inhibit the computers' ability to achieve optimal ...

He has authored or co-authored more than 500 published articles and eight books in the fields of mathematical optimization, computer science and artificial intelligence, and is the originator of the ...

This course introduces high-performance computing (“HPC”) systems, software, and methods used to solve large-scale problems in science and engineering. It will focus on the intersection of two ...

At UT Computer Science, undergraduate students receive a rigorous educational experience, with options to pursue more than 50 courses that span the full spectrum of topics in modern computer science.

Philipp Strack, director of the Computer Science and Economics interdepartmental degree program, talks about how the program bridges these critical fields.