Whether your chip is running a vintage computer game or the latest DeepSeek model, it’ll reward you for speaking its native ...

On the current most popular AI programming testing platform, SWE-Bench, many AI models perform impressively, easily achieving scores above 70%. However, such high scores do not indicate their ability ...

This is a preview. Log in through your library . Abstract The trust region approach has been extended to solving nonlinear constrained optimization. Most of these extensions consider only equality ...

Dynamic programming (DP) algorithms have become indispensable in computational biology, addressing problems that range from sequence alignment and phylogenetic inference to RNA secondary structure ...

In this Artificial Intelligence podcast with Lex Fridman, computer scientist Donald Knuth discusses Alan Turing, Neural networks, machine learning and other AI topics from ant colonies and human ...

In this paper, we propose a new branch and bound algorithm for the solution of large scale separable concave programming problems. The largest distance bisection (LDB) technique is proposed to divide ...

Talk about finding a needle in a haystack. The Defense Advanced Research Projects Agency says it wants to develop sophisticated code that can find faults in key algorithms used to anchor major ...