mccormick.northwestern.edu

IEMS 351: Optimization Methods in Data Science

This course offers an introduction to mathematical nonlinear optimization with applications in data science. The theoretical foundation and the fundamental algorithms for nonlinear optimization are ...
Phys.org

Quantum computers can solve combinatorial optimization problems more easily than conventional methods, research shows

The traveling salesman problem is considered a prime example of a combinatorial optimization problem. Now a Berlin team led by theoretical physicist Prof. Dr. Jens Eisert of Freie Universität Berlin ...
ISA

Optimization algorithm selection for process applications

Optimization seeks to find the best. It could be to design a process that minimizes capital or maximizes material conversion, to choose operating conditions that maximize throughput or minimize waste, ...
Princeton University

Convex Optimization Over Probability Spaces

where \(\mathsf{G}(\cdot)\) is some convex operator and \(\mathcal{F}\) is as set of feasible input distributions. Examples of such an optimization problem include finding capacity in information ...
The Eastern Herald

Google Supercharges Gemma 4 With Multi-Token Prediction, Delivering Up to 3× Faster AI Inference

Google’s Multi-Token Prediction upgrade for Gemma 4 dramatically improves AI speed and efficiency without sacrificing ...
The Manila Times

MicroAlgo Inc. Develops Quantum Architecture Search (QAS) Technology to Enhance VQA Robustness and Trainability, Optimizing the Potential of Quantum Computing …

MicroAlgo Inc. (the 'Company' or 'MicroAlgo') (NASDAQ: MLGO), today announced the development of an innovative ...