InfoWorld

The ‘toggle-away’ efficiencies: Cutting AI costs inside the training loop

You don't need the newest GPUs to save money on AI; simple tweaks like "smoke tests" and fixing data bottlenecks can slash ...
IEEE

Solving Multiobjective Combinatorial Optimization via Learning to Improve Method

Abstract: Recently, neural combinatorial optimization (NCO) methods have been prevailing for solving multiobjective combinatorial optimization problems (MOCOPs). Most NCO methods are based on the ...
IEEE

Comprehensive Review on Topology Optimization for Enhancing Electric Machine Performance: Concepts, Methods, Achievements, and Challenges

Abstract: Conventional techniques for optimizing the design of electric machines use optimization algorithms to determine the geometric variables within a predefined range. However, these methods are ...
GitHub

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation

[2025-06-01] Many thanks to @aherzinger for implementing and refactoring the Generator and RAG models. [2025-05-30] Huge thanks to @baraayusry for implementing the Online Retriever using CrawAI and ...
GitHub

High-performance optimization algorithms in Rust with Python bindings

Optimiz-rs provides blazingly fast, production-ready implementations of advanced optimization and statistical inference algorithms. Built with Rust for maximum performance and exposed to Python ...