Optimization algorithms lie at the heart of modern engineering, enabling robust solutions across structures, energy systems, transportation networks and automated design. By framing engineering design ...

New stress-testing tool: MetaEase analyzes algorithm source code to identify worst-case performance gaps without complex rewrites, streamlining verification. Preventing costly outages: By simulating ...

Researchers from MIT and elsewhere have developed a more user-friendly and efficient method to help networking engineers ...

This course studies approximation algorithms – algorithms that are used for solving hard optimization problems. Such algorithms find approximate (slightly suboptimal) solutions to optimization ...

Dr. James McCaffrey of Microsoft Research says that when quantum computing becomes generally available, evolutionary algorithms for training huge neural networks could become a very important and ...

Scientists have prototyped a new method for 'rationally engineering' enzymes to deliver improved performance. They have devised an algorithm, which takes into account an enzyme's evolutionary history, ...

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

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 ultimate measure of success for AI will be how much it increases productivity in our daily lives. However, the industry has huge challenges in evaluating progress. The vast number of AI ...