How DeepMind is unlocking the secrets of dopamine and protein folding with AI

Venture Beat | Jan 16, 2020 at 2:00 AM
  • Demis Hassabis founded DeepMind with the goal of unlocking answers to some of the world’s toughest questions by recreating intelligence itself.
  • And in 2018, DeepMind researchers conducted an experiment suggesting that the prefrontal cortex doesn’t rely on synaptic weight changes to learn rule structures, as once thought, but instead uses abstract model-based information directly encoded in dopamine.
  • When the reward prediction error is positive, some predictors learn a more optimistic reward corresponding to a higher part of the distribution, and when the reward prediction is negative, they learn more pessimistic predictions.