New Theory of Intelligence May Disrupt AI and Neuroscience

New Theory of Intelligence May Disrupt AI and Neuroscience

  • October 29, 2018
Table of Contents

New Theory of Intelligence May Disrupt AI and Neuroscience

Recent advancement in artificial intelligence, namely in deep learning, has borrowed concepts from the human brain. The architecture of most deep learning models is based on layers of processing– an artificial neural network that is inspired by the neurons of the biological brain. Yet neuroscientists do not agree on exactly what intelligence is, and how it is formed in the human brain — it’s a phenomena that remains unexplained.

Technologist, scientist, and co-founder of Numenta, Jeff Hawkins, presented an innovative framework for understanding how the human neocortex operates, called “The Thousand Brains Theory of Intelligence,” at the Human Brain Project Summit in Maaastricht, the Netherlands, in October 2018.

Source: psychologytoday.com

Share :
comments powered by Disqus

Related Posts

Curiosity and Procrastination in Reinforcement Learning

Curiosity and Procrastination in Reinforcement Learning

Episodic Curiosity through Reachability: Observations are added to memory, reward is computed based on how far the current observation is from the most similar observation in memory. The agent receives more reward for seeing observations which are not yet represented in memory.

Read More
California Law Bans Bots From Pretending to Be Human

California Law Bans Bots From Pretending to Be Human

Are you talking to a real person online or a bot? In California, bots will need to identify themselves thanks to a new bill just signed into law by Gov. Jerry Brown. The measure bans automated accounts from pretending to be real people in order to ‘incentivize a purchase or sale of goods or services in a commercial transaction or to influence a vote in an election,’ effective July 1, 2019.

Read More