Your next storefront visitor may not be a person at all. It may be a large language model (LLM) deciding whether to recommend ...

Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...

AMD's acquisition of MEXT doesn't replace DRAM or HBM. It simply helps enterprises use those resources more efficiently. Micron's HBM4 production is locked into multi-year contracts, so software-based ...

Please Don't Scroll Past This Can you chip in? The Internet Archive partners with libraries, archives, and institutions across the globe to preserve cultural heritage that would otherwise be lost ...

Abstract: Scalability is a crucial aspect of designing efficient algorithms. Despite their prevalence, large-scale dynamic optimization problems are not well studied in the literature. This paper is ...

In mid-May, OpenAI announced that an internal AI model had disproved the Erdős unit distance conjecture, a famous problem in discrete geometry that had stumped human mathematicians for the last 80 ...

From workplace to “culture space” by Anne-Laure Fayard, John Weeks and Mahwesh Khan In June 2019 the International Olympic Committee (IOC) opened Olympic House, its new headquarters, in Lausanne, ...

A general-purpose Model Context Protocol (MCP) server for solving combinatorial optimization problems with logical and numerical constraints. This server provides a unified interface to multiple ...

The rapid evolution of AI has brought notable advancements in natural language understanding and generation. However, these improvements often fall short when faced with complex reasoning, long-term ...

Abstract: Dynamic environments pose great challenges for expensive optimization problems, as the objective functions of these problems change over time and thus require remarkable computational ...