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

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 ...

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 ...

This is a preview. Log in through your library . Abstract This paper proposes a dynamic programming algorithm for decision CPM (DCPM) networks. DCPM is a natural ...

This is an advanced undergraduate course on algorithms. This course examines such topics as greedy algorithms, dynamic programming, graph algorithms, string processing, and algorithms for ...

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 ...

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

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 ...

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