Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I ...

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For decades, artificial intelligence has excelled at spotting patterns in data. Machine learning models can predict customer behavior, forecast market trends, or identify medical risks with high ...

Abstract: The graph coloring problem involves coloring the nodes of a graph using the minimum number of colors such that no two adjacent nodes share the same color. This NP-hard problem has various ...

Google antitrust case shows that the AI Overviews ranking process does not use links as part of the ranking process. A sharp-eyed search marketer discovered the reason why Google’s AI Overviews showed ...

There is a new sorting algorithm a deterministic O(m log2/3 n)-time algorithm for single-source shortest paths (SSSP) on directed graphs with real non-negative edge weights in the comparison-addition ...

If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle the easiest pieces first. But this kind of sorting has a cost.

The current implementation of the breadth_first_search_shortest_path_2.py uses a Python list to simulate a queue. However, using a list for this purpose might be ...

Data security involves implementing strategies to safeguard digital information against unauthorized disclosure and modification across computing and communication infrastructures. Given the ...