Northwestern Engineering researchers are making significant contributions to AI and robotics research by sharing new work at ...

AI-Powered Breakthroughs Unlock New Geothermal Energy Potential Geothermal energy has long been considered one of the most reliable forms of ...

MiniMax M2.7 fully tested as an agentic AI model, showing 30% autonomous self-improvement after 100+ self-training rounds.

Data-driven planning enables route reductions and improved driver alignment without changing bell times or stop ...

Infinite dilution activity coefficient is a key thermodynamic parameter in solvent design for chemical processes. Although ...

Your endless scrolling is an energy vacuum, but "lazy logging" and cutting useless data features are finally reining in AI’s ...

Modern-day LLMs are "fiction machines," designed not to be truthful but to make sense. What can we expect from these machines, and what are their limitations?

Abstract: This paper presents a generative machine learning (ML) framework for the automated design and optimization of filtering antennas, a class of antennas that requires the simultaneous control ...

This course teaches an overview of modern mathematical optimization methods, for applications in machine learning and data science. In particular, scalability of algorithms to large datasets will be ...