In the GenAI era, program comprehension is not just another skill in the toolbox; it is the toolbox itself. It enables learners to move beyond passive acceptance of AI outputs, guiding them to ...

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

Static program analysis is a cornerstone in verifying, optimising, and debugging modern software systems. By evaluating code without executing it, these techniques enable early detection of defects, ...

https://doi.org/10.2307/2582400 • https://www.jstor.org/stable/2582400 Copy URL This paper offers a new approach to the solution of zero-one goal-programming ...

Understand the principles of efficient algorithms for dealing with large scale data sets and be able to select appropriate algorithms for specific problems. Understand and be able to apply the main ...

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This is a preview. Log in through your library . Abstract The multi-item joint replenishment problem is generalized to allow ordering costs to be dependent on the specific items jointly supplied. A ...

NEW YORK--(BUSINESS WIRE)--Dandelion Health, Inc., a startup offering a healthcare data platform that specializes in artificial intelligence and precision analytics, announced today the launch of a ...

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 ...

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