New AI framework autonomously optimizes training data, architectures and algorithms — outperforming human baselines

EVOLVE, an agentic framework that autonomously optimizes AI training data, model architectures, and learning algorithms — boosting MMLU scores by 18 points over human baselines.
mccormick.northwestern.edu

IEMS 351: Optimization Methods in Data Science

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 ...
The Manila Times

MicroAlgo Inc. Develops Quantum Architecture Search (QAS) Technology to Enhance VQA Robustness and Trainability, Optimizing the Potential of Quantum Computing …

MicroAlgo Inc. (the 'Company' or 'MicroAlgo') (NASDAQ: MLGO), today announced the development of an innovative ...
WinBuzzer

Google Plans AlphaEvolve Cloud Rollout for Customers

Google plans an AlphaEvolve rollout through Google Cloud after showing gains in TPU design, Spanner efficiency, genomics, ...
AZoCleantech

Scientists Develop Smart Solar-Hydrogen System for Continuous Hospital Power

AI-driven optimization of a solar-hydrogen system offers hospitals a sustainable energy solution, enhancing reliability and ...
Hosted on MSN

Master shortest path algorithms for smarter problem solving

Shortest path algorithms like Dijkstra, BFS, and advanced approximations power everything from Google Maps to network routing. Understanding when and how to apply them can save time and resources in ...
Wired

Scientists Establish the Best Algorithm for Traversing a Map

The original version of this story appeared in Quanta Magazine. If you’ve been making the same commute for a long time, you’ve probably settled on what seems like the best route. But “best” is a ...