Lance Fortnow on the current status and future outlook of solving the P-NP problem.
Do you stare at a math word problem and feel completely stuck? You're not alone. These problems mix reading comprehension ...
Here is a blueprint for architecting real-time systems that scale without sacrificing speed. A common mistake I see in ...
The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20100 ...
Henry Yuen is developing a new mathematical language to describe problems whose inputs and outputs aren’t ordinary numbers.
The field of artificial intelligence has reached a point where simply adding more data or increasing the size of a model is not the best way to make it more intelligent. For the past few years, we ...
Interesting Engineering on MSN
Chinese scientists push limits of 300-year-old math problem in sphere packing
Scientists at Fudan University, Peking University, and the Shanghai Academy of AI for Science ...
4don MSN
Simplifying quantum simulations—symmetry can cut computational effort by several orders of magnitude
Quantum computer research is advancing at a rapid pace. Today's devices, however, still have significant limitations: For example, the length of a quantum computation is severely limited—that is, the ...
This WSJ video investigation reveals how the video-centric social network is so good at figuring out interests you never expressly tell it.
Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...
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