The Optimization, Data, and Decision Science (ODDS) Lab, established in late 2023 under the leadership of Dr. Ilgin Acar, represents a dynamic hub for cutting-edge research at the intersection of ...
This course discusses basic convex analysis (convex sets, functions, and optimization problems), optimization theory (linear, quadratic, semidefinite, and geometric programming; optimality conditions ...
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 ...
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 in ...
Hosted on MSN
Researchers optimize AI systems for science
Using services like ChatGPT or Microsoft Copilot can sometimes seem like magic—to the point it can be easy to forget about the advanced science running behind the scenes of any artificial intelligence ...
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.
Data transfer optimization software, Falcon, that was developed by Computer Science and Engineering Ph.D. student MD Arifuzzaman has been selected by the National Science Foundation (NSF) for $450,000 ...
Deep Learning with Yacine on MSN
Group Relative Policy Optimization (GRPO) Explained – Formula and PyTorch Implementation
Discover how Group Relative Policy Optimization (GRPO) works with a clear breakdown of the core formula and working Python ...
Results that may be inaccessible to you are currently showing.
Hide inaccessible results