NP-Hard: The End of AI?
The most fascinating AI publications of today - as published on Thursday, 15 August 2024.
What are the hardest Ai publications of today? Smile. Are the latest AI computations as published today in pre-prints and journals and selected by me in this video: NP-hard or NP-complete?
Some AI problems might even more complex than NP-complete problems, like:
a. PSPACE-complete Problems: Problems that require polynomial space to solve, like certain types of logic puzzles or games (e.g., determining the winner in generalized chess).
b. EXPTIME Problems: Problems that require exponential time to solve, such as some advanced reasoning tasks in AI.
In practice, AI researchers and practitioners often use simple heuristics, approximations, and machine learning techniques (as shown in my videos) to handle these problems effectively, even if they are theoretically intractable (NP-hard or NP-complete).
Note: This is my personal selection of interesting papers on AI tech of today, the original set of published papers is multiple times larger. Means: This is my Ai learning bubble.
10 simple Ai papers as presented in my video (to learn new stuff):
https://arxiv.org/pdf/2408.07544
https://arxiv.org/pdf/2408.07287
https://arxiv.org/pdf/2408.07575
https://arxiv.org/pdf/2408.07521
https://arxiv.org/pdf/2408.07524
https://arxiv.org/pdf/2408.07510
https://arxiv.org/pdf/2408.07199
https://arxiv.org/pdf/2408.07215
https://arxiv.org/pdf/2408.07272
https://arxiv.org/pdf/2408.07324
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