Black-box optimization weather intervention method supports future disaster mitigation

In recent years, the frequency of weather-related natural disasters—cyclones, torrential rains, floods—has increased as a consequence of global warming. These disasters cause billions of dollars in ...
Crypto Briefing

OpenAI cuts inference costs in half with new optimization technique

OpenAI has found a way to reduce its inference costs by roughly 50%, a development that could reshape the economics of running large language models at scale. Inference is the process of actually ...
Aalto University

Doctoral Researcher in AI and Quantum-Inspired Optimization for Sustainable Energy Systems

Are you passionate about developing AI-based and quantum-inspired solutions for the next generation of sustainable energy systems? We are now looking for a fully funded Doctoral Researcher to work on ...
Onrec

Mathematical Modeling Careers Surge by 20%

Mathematical Modeling is One of the Most Valuable Skills. Mathematical modeling is often associated with academic research, ...

Meituan open sources LongCat-2.0, the 1.6T, near-frontier agentic coding model that's been leading OpenRouter — trained entirely on Chinese chips

By registering the LongCat-2.0 repository under the open-source MIT License, Meituan positions the architecture with maximum ...
IEEE

An Evolutionary Algorithm for Solving Large-Scale Robust Multiobjective Optimization Problems

Abstract: Robust multiobjective optimization problems (RMOPs) widely exist in real-world applications, which introduce a variety of uncertainty in optimization models. While some evolutionary ...
IEEE

Python Driven Keyword Analysis for SEO Optimization

Abstract: Every word or string of words a user types into a search engine has meaning. For example, a user might search for a “hotel” or a “hotel in New York City.” Keywords are the standard focus of ...