A self-learning optimizer improved gas production while cutting gas lift usage by 44% across five Delaware basin wells ...

In mid-May, OpenAI announced that an internal AI model had disproved the Erdős unit distance conjecture, a famous problem in discrete geometry that had stumped human mathematicians for the last 80 ...

Abstract: To make the welding robot more reasonable and furthermore improve the productivity and reduce costs, two intelligent algorithms for welding path optimization, genetic algorithm (GA) and ...

Abstract: A microgrid network is characterized by a high $R/X$ ratio, making the voltage more sensitive to active power changes compared to bulk power systems, where ...

Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers of ...

Objectives Active learning strategies, including case-based learning (CBL), problem-based learning (PBL) and team-based ...

He built interfaces that allowed engineers, scientists and everyday people to solve difficult problems without having to ...

The result is correct but challenges core norms of mathematics: checking proofs, crediting ideas and keeping research open to ...

After being gobsmacked by the new billing plan using almost all my monthly credits in one or two days, I tried pushing some Copilot-style coding work onto local models in VS Code. What I found was ...

The PCB cleanup along the Lower Fox River and bay of Green Bay took about 17 years, beginning in 2004 and continuing until ...

Researchers cracked a 50-year-old math problem scribbled by Richard Feynman over lunch. The equations show that humans are ...

This repository is by Priya L. Donti, David Rolnick, and J. Zico Kolter and contains the PyTorch source code to reproduce the experiments in our paper "DC3: A learning method for optimization with ...