Explore >> Select a destination
|
You are here 
|
blog.computationalcomplexity.org | ||
| | | | |
cacm.acm.org
|
|
| | | | | [AI summary] The article discusses the ongoing evolution of the P vs NP problem in computational complexity theory, emphasizing its profound implications for algorithm design, cryptography, and artificial intelligence. It highlights how advances in machine learning and quantum computing are reshaping our understanding of computational limits, while also cautioning against the potential misuse of algorithms in areas like algorithmic bias and surveillance. The piece concludes by reflecting on the philosophical and practical significance of P vs NP, suggesting that its resolution could redefine the boundaries of what is computationally feasible. | |
| | | | |
rjlipton.com
|
|
| | | | | On the complexity of counting exactly and approximately Larry Stockmeyer was one of the great theorists, who worked on areas as diverse as lower bounds on logical theories, computational complexity, distributed computing, algorithms, and many other areas. He passed away in 2004, and is terribly missed by all who knew him. See Lance Fortnow's wonderful... | |
| | | | |
blog.geomblog.org
|
|
| | | | | Martin Farach-Colton asked me to mention this, which is definitely NOT a pox on computer systems. ACM-SIAM Algorithmic Principles of Com... | |
| | | | |
www.techinterviewhandbook.org
|
|
| | | The best practice questions to prepare for algorithmic coding interviews by the author of Blind 75 spread across a 5-week schedule | ||
