A modified ant colony optimization framework reduced average active network losses and cut convergence iterations by half in ...
Cornell doctoral candidate Ariel Goodwin has won the 2026 INFORMS Optimization Society Student Paper Prize for research ...
Researchers test machine learning and genetic algorithms to improve solutions to the quadratic multidimensional knapsack ...
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 ...
This article is excerpted from the course "Fundamental Machine Learning," part of the Machine Learning Specialist certification program from Arcitura Education. It is the final part of the 13-part ...
10d
Making LLM training more stable: "EnergyCal," a new optimization method to suppress MoE loss spikes
In this article, we introduce some slightly technical research from FA Research.To improve the performance of LLMs, it is ...
Neel Somani points out that while artificial intelligence may look like it runs on data and algorithms, its real engine is optimization. According to Somani, every breakthrough in the field—from ...
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