Researchers have demonstrated that the Grasshopper plugin Stag successfully executes multi-material topology optimization ...

Accurate SI analysis must account for interactions across vertical interconnects, interposers, silicon bridges, package transitions, and neighboring high-speed channels.

PyQLAS, a new Python library, allows for the solving of linear systems by deliberately apportioning computation between ...

Cornell doctoral candidate Ariel Goodwin has won the 2026 INFORMS Optimization Society Student Paper Prize for research ...

This research compares classical and quantum QUBO solvers on 180 benchmark instances from ten families with 14–48 variables, ...

The open-source FHOPS platform combines exact and heuristic optimization, disturbance testing and traceable evidence generation for forest harvest scheduling in a British Columbia ground-based case ...

This project provides a Python-based solution to optimize Fantasy Premier League (FPL) squad selection using Integer Linear Programming (ILP). It fetches player, team, and fixture data from the ...

For decades, a fundamental question about the difficulty of computing in high-dimensional spaces has resisted proof. New research resolves this question, removing a major theoretical obstacle to ...

In recent years, the ability to integrate artificial intelligence and machine learning into WMS has transformed logistics from reactive to predictive — and increasingly, prescriptive — execution. By ...

NVIDIA introduces a multi-GPU solver for decision optimization, scaling to 100 million variables and beyond, promising faster ...

A five-second bottleneck becomes 1.8 milliseconds. A memory operation that crashed every generic compilation attempt runs cleanly on 11 GB. A hybrid sharding strategy threads between two parallelism ...

Speaking at the OCP APAC Summit in Taipei, Subi Kengeri, Corporate Vice President and General Manager of Systems to Materials at Applied Materials, delivered a keynote warning that the artificial ...