LLMFP breaks this deadlock by reimagining planning as a constrained optimization problem, a mathematical process of finding ...

Two tech companies have introduced laser light-based computer components, promising faster processing and lower energy ...

Abstract: We propose a multi-objective optimization algorithm for cloud task scheduling based on the Analytic network process (ANP) model to solve the problems in cloud task scheduling, such as the ...

Classical methods of solving these problems, which often involve churning through possible solutions in clever ways, quickly become untenable. The specific optimization problem that DQI tackles is ...

Mar. 31, 2025 — Researchers have developed new AI models that can vastly improve accuracy and discovery within protein science. Potentially, the models will assist the medical sciences in ...

A Python-embedded modeling language for convex optimization problems.

A new large language model framework teaches LLMs to use an optimization solving algorithm to resolve complex, multistep planning tasks. With the LLMFP framework, someone can input a natural language ...

The special research area “Mathematics of Reconstruction in Dynamical and Active Models”, funded by the Austrian Science Fund FWF, was launched in ...

This course has 1 mandatory assignment that must be approved before you can sit the final exam. It will also be counted as one of the three attempts to sit the exam for this course, if you sit the ...

From undergraduate study to graduate, postdoctoral and faculty research, women within the Mellon College of Science’s ...