- Your brain does not process information and it is not a computer
- Hard things in Computer Science
- Computer Science Proof Lifts Limits on Quantum Entanglement
- Researchers Achieve ‘Absurdly Fast’ Algorithm for Network Flow
- The Biggest Discoveries in Computer Science in 2022
For decades, mathematicians have been inching forward on a problem about which sets contain evenly spaced patterns of three numbers. Last month, two computer scientists blew past all of those results.
Computer scientists this year learned how to transmit perfect secrets, why transformers seem so good at everything, and how to improve on decades-old algorithms (with a little help from AI).
Three computer scientists have solved the NLTS conjecture, proving that systems of entangled particles can remain difficult to analyze even away from extremes.
In Shang-Hua Teng’s work, theoretical and practical questions have long been intertwined. Now he’s turning his focus to the impractical.
Computer scientists can now solve a decades-old problem in practically the time it takes to write it down.
Julian's Blog - The Internet from Rocks — A High Level Explanation of Computers and the Internet
If you’ve more than a couple of years of experience in IT, you probably have stumbled upon the following quote: There are only two hard things in computer science: cache invalidation and naming things. — Phil Karlton Then, because it’s such a great quote, it evolved: There are two hard things in computer science: cache invalidation, naming things, and off-by-one errors.— Jeff Atwood (@codinghorror) August 31, 2014 However, I think that the initial quote is
Your brain does not process information, retrieve knowledge or store memories. In short: your brain is not a computer
Black and Hispanic people face huge hurdles at technology companies and in computer-science education in the United States, with far-reaching consequences for science and all of society.
For pioneering computer scientist Donald Knuth, good coding is synonymous with beautiful expression.
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