In today’s code-driven era, C++ remains an unshakable cornerstone for many programmers due to its outstanding performance and ...

Former DeepMind scientists raise $5 million for Hiverge, a startup developing AI to improve code.

OpenAI's internal reasoning model outperformed all competitors, successfully solving all 12 algorithm problems with a perfect ...

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

Many sequential decision problems can be formulated as Markov decision processes (MDPs) where the optimal value function (or cost-to-go function) can be shown to satisfy a monotone structure in some ...

This is a preview. Log in through your library . Abstract The main result of this paper is a group theoretic algorithm (GTIP2) for the integer programming problem. This algorithm is an extension of an ...

A program spearheaded by the World Bank that uses algorithmic decision-making to means-test poverty relief money is failing the very people it’s intended to protect, according to a new report by Human ...

Dynamic programming algorithms are a good place to start understanding what's really going on inside computational biology software. The heart of many well-known programs is a dynamic programming ...

If you or anyone you know is a senior in medical school, then you know that this Friday is The Match— the day when graduating doctors are assigned to residency programs by the National Residency ...