WIRED spoke with DeepMind’s Pushmeet Kohli about the recent past—and promising future—of the Nobel Prize-winning research ...
The Intelligence We Forgot: Why indigenous and ancestral knowledge is Africa’s missing AI superpower
The global AI ecosystem has been built upon an epistemic void, a missing centre, an unacknowledged blind spot that has ...
Morning Overview on MSN
Your brain has a learning shortcut that AI still can’t copy
Human brains can turn a single messy experience into a lasting skill, while even the most advanced artificial intelligence ...
Anyone who follows AI ethics and safety debates can recognize the pattern: worries about bias, about “hallucinations,” about ...
ParAMD is a shared memory parallel implementation of the approximate minimum degree (AMD) algorithm with multiple elimination via distance-2 independent sets. For more information, please read our ...
Abstract: Importance sampling is a widely-used method for probabilistic inference with Bayesian probabilistic networks. Importance sampling is relatively easy to parallelize and parallel GPU ...
In structural health monitoring (SHM), uncertainties from environmental noise and modeling errors affect damage detection accuracy. This paper introduces a new concept: the Fast Fourier Transform ...
This has been a roller coaster year for the S&P 500, Nasdaq Composite, and Dow Jones Industrial Average, with all three enduring a mini-crash and a rip-roaring rally to new highs. A new ...
Ever wondered how social media platforms decide how to fill our feeds? They use algorithms, of course, but how do these algorithms work? A series of corporate leaks over the past few years provides a ...
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