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

Barbara Liskov pioneered the modern approach to writing code. She warns that the challenges facing computer science today can’t be overcome with good design alone. Good code has both substance and ...

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 ...

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 ...

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 ...

Software may appear to operate without bias because it strictly uses computer code to reach conclusions. But a team of computer scientists has discovered a way to find out if an algorithm used for ...