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Algorithms allow us to make rational decisions in an organized manner, preventing us from burdening our minds with low-quality, on-the fly decision making. Everybody can do with a bit of computer ...
What do encrypted messages, recognizing speech commands and running simulations to predict the weather have in common? They all rely on matrix multiplication for accurate calculations. DeepMind, an ...
There is no way to do this on a classical computer. However, you can translate this Hamiltonian into a quantum circuit.” [Related: IBM’s latest quantum chip breaks the elusive 100-qubit barrier] ...
Instead, Karatsuba showed it could be done in just O (n^1.58), a revelation that would pave the way for faster computing, cryptography, and algorithm design.
Christopher Kanan is building algorithms that can continuously learn over time — the way we do.
OK, not exactly a computer — more like, the wild array of technologies that inform what we consume on our computers and phones. Because on this episode, we're looking at how AI and race bias ...
Computer algorithms infer gender, race and ethnicity. Here’s how to avoid their pitfalls Demographic-prediction algorithms have various challenges, following best practices can minimize the harms.
Every problem in P is also in PSPACE, because fast algorithms just don’t have enough time to fill up much space in a computer’s memory.
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