Probabilistic programming has emerged as a powerful paradigm that integrates uncertainty directly into computational models. By embedding probabilistic constructs into conventional programming ...

Predictor-corrector algorithm for linear programming, proposed by Mizuno et al. becomes the best well known in the interior point methods. The purpose of this paper is to extend these results in two ...

Primal methods constitute a common approach to solving (combinatorial) optimization problems. Starting from a given feasible solution, they successively produce new feasible solutions with ...

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 ...

Start working toward program admission and requirements right away. Work you complete in the non-credit experience will transfer to the for-credit experience when you ...

Five different AI algorithms have teamed up to kick human butt in Dota 2, a popular strategy computer game. Researchers at OpenAI, a nonprofit based in California, developed the algorithmic A team, ...