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

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

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 ...

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 ...

While the use of AI in health insurance isn’t new, Medicare has been slow to adopt the private-sector tools. Medicare has ...

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 ...

Algorithms, which are just sets of instructions expressed in code, are harder to restrict than physical goods. But ...

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 ...

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 ...