In this Brains@Bay meetup, we explore how neuromodulatory mechanisms in the brain may provide useful insights into creating more efficient and truly intelligent machines. We are thrilled to have Srikanth Ramaswamy (Newcastle University), Jie Mei (The Brain and Mind Institute) and Thomas Miconi (ML Collective) present.
On the TWIML podcast, our VP of Research Subutai Ahmad discussed the fundamental research behind Numenta’s work.
Jeff Hawkins talked to Neil Leach at the DigitalFUTURES lecture series on AI, Neuroscience and Architecture. In this session, Jeff explained how parts of the brain work and described the nature of intelligence itself.
In this Brains@Bay meetup, we are focusing on how sensorimotor learning can lead to more flexible and robust machine learning systems. We are thrilled to have Rich Sutton (DeepMind, U of Alberta), Clément Moulin-Frier (Flowers Lab), and Viviane Clay (Numenta) present their insights and work on applying sensorimotor learning to AI.
Jeff Hawkins talked to Will Douglas Heaven, MIT Tech Review’s Senior Editor for AI, at the EmTech Conference. In this session, they explored a neuroscience-based approach to AI that may lead to true machine intelligence.
Jeff Hawkins was a guest on the Machine Learning Street Talk Podcast where he and the hosts discussed Numenta’s current machine learning work and how the Thousand Brains Theory influences the machine learning space.