What Is a Neural Network: How AI Learns From Data
Correction Technology

What Is a Neural Network: How AI Learns From Data

Corrected by Melik Can Sariyer · on When Notes Fly · 12 July 2026 · View published page ↗

A neural network is an AI system inspired by the brain, built from layers of connected nodes that learn patterns from data to make predictions.

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−Marcus Hutter at DeepMind
+Francois Chollet at Google
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−Erica Thompson at the London School of Economics
+Remi Lam at Google DeepMind

Why this is better

Verified: body text correctly attributes the ARC-AGI benchmark to Francois Chollet at Google, and the GraphCast 90.3%/1,380-targets result to the Google DeepMind team (Lam et al., Science 2023), not to a London School of Economics study. No stale Marcus Hutter/DeepMind or Erica Thompson/LSE attributions remain anywhere on the page (there is no separate bibliography section on this article), and the FAQ schema does not reference either citation. No further changes needed.

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