The center will unite mathematicians, engineers and computer scientists at Brown, NYU and Georgia Tech to tackle longstanding ...

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 ...

In the past few years, researchers have turned increasingly to data science techniques to aid problem-solving in organic synthesis. The software adapts key principles of Bayesian Optimization (BO) to ...

The key to the incredible speed of a quantum computer lies in its ability to fabricate and manipulate quantum bits, or qubits, typically artificial particles such as ions, superconducting oscillators ...

Modeling and Solving Combinatorial Optimization Problems Using the QUBO Model A surprising development of the last few years has been the emergence of a model, called QUBO (for Quadratic Unconstrained ...

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 ...

This article addresses the issue of kriging-based optimization of stochastic simulators. Many of these simulators depend on factors that tune the level of precision of the response, the gain in ...

This specialized computation method "makes it a special-purpose "steady-state finder" for certain AI and optimization ... purpose computer," Aydogan Ozcan, an optical computing researcher at UCLA who ...

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.