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 ...
Frontiers

Numerical foundations for scalable statistical and machine learning methods

Across modern data-intensive disciplines, the union of numerical computation, statistics, and machine learning has become ...
TMCnet

WiMi Explores Multi-Dimensional Pooling Optimization Technology under the Variational Quantum Algorithm Framework

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, is exploring multi-dimensional pooling optimization ...
Tech Xplore

Osprey-inspired algorithm lifts Chinese-English translation accuracy

Research published in the International Journal of Information and Communication Technology has taken inspiration from the ...
Analytics Insight

Types of Algorithms in Computer Science: A Simple Guide for Beginners

Overview: Algorithm selection is an engineering decision: the wrong choice can freeze a system at scale, regardless of ...
TMCnet

MicroAlgo Inc. Develops a Reconfigurable Simulation Technology of High-Precision, High-Throughput Scalable Quantum Algorithms

MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), today announced the development of an innovative high-precision, high-throughput reconfigurable simulation technology, aimed at providing ...
Quanta Magazine

Thirty Years Later, a Speed Boost for Quantum Factoring

Peter Shor didn’t set out to break the internet. But an algorithm he developed in the mid-1990s threatened to do just that. In a landmark paper, Shor showed how a hypothetical computer that exploited ...