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deepmind.google
| | cacm.acm.org
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| | [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.
| | mathscholar.org
3.7 parsecs away

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| | [AI summary] The 2024 Nobel Prize in Chemistry was awarded to researchers who developed AlphaFold 2, an AI-based system that revolutionized computational protein folding, enabling accurate prediction of protein structures and advancing biology and medicine.
| | moalquraishi.wordpress.com
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| | The past week was a momentous occasion for protein structure prediction, structural biology at large, and in due time, may prove to be so for the whole of life sciences. CASP14, the conference for the biennial competition for the prediction of protein structure from sequence, took place virtually over multiple remote working platforms. DeepMind, Google's...
| | uncommongenders.home.blog
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