TACO (Topics in Algorithmic COde generation dataset) is a dataset focused on algorithmic code generation, designed to provide a more challenging training dataset and evaluation benchmark for the code ...

Abstract: This letter is concerned with a stabilizing adaptive dynamic programming (ADP) approach to approximate solution of a given infinite-horizon optimal control problem. Since the latter problem ...

The goal of this project is to teach AI to devise and implement better algorithms than human programmers. This is done in a self-play loop using language models (such as GPT) to generate and solve ...

Abstract: This paper studies the rolling security-constrained unit commitment (RSCUC) problem with AC power flow and uncertainties. For this NP-hard problem, it is modeled as a Markov decision process ...

For decades, coders wrote critical systems in C and C++. Now they turn to Rust. Many software projects emerge because—somewhere out there—a programmer had a personal problem to solve. That’s more or ...

Multiplatform Initiative to Explore Climate Change from Diverse Perspectives with New Series and Specials Including HUMAN FOOTPRINT, a Second Season of AMERICA OUTDOORS and New PBS KIDS Series WEATHER ...

1 On our inability to do much. 4 On the reliability of mechanisms. 8 On our mental aids. 15 An example of a correctness proof. 19 On the validity of proofs versus the validity of implementations. 21 ...

I wore the world's first HDR10 smart glasses TCL's new E Ink tablet beats the Remarkable and Kindle Anker's new charger is one of the most unique I've ever seen Best laptop cooling pads Best flip ...

Data-driven approaches are becoming increasingly common as problem-solving tools in many areas of science and technology. In most cases, machine learning models are the key component of these ...