Sound: Jeff Hawkins on Lex Fridman’s AI Podcast, Partner Updates, and More | Numenta News – September 2019
This month we have Jeff Hawkins on Lex Fridman’s Artificial Intelligence Podcast, a meetup on Sparsity in Neural Networks, partner updates, and more. Read on to get all the latest news from Numenta.
Christy Maver • VP of MarketingSound: Highlights from Recent AI and ML Events, Live-streaming Research Meetings, and More | Numenta News – June 2019
June highlights include updates from machine learning and artificial intelligence events, Numenta live-streaming research meetings, a new brain-inspired machine learning Meetup Group and more. Read on to get all the latest news from Numenta.
Christy Maver • VP of MarketingSound: New Paper and Reddit AMA | Numenta News – May 2019
We published a paper in Frontiers in Neural Circuits, “Locations in the Neocortex: A Theory of Sensorimotor Object Recognition Using Cortical Grid Cells.” The paper provides a neural mechanism for computing object-centric locations. We have an upcoming AMA scheduled for May 15. Catch the latest episode of Numenta On Intelligence, and check out the updates from our partners.
Christy Maver • VP of MarketingSound: New Paper on Sparsity | Numenta News – March 2019
We recently released a new paper about the benefits of using highly sparse representations. Our co-founder Jeff Hawkins and VP of Research Subutai Ahmad gave a talk at Microsoft Research about applying the Thousand Brains Theory of Intelligence to practical machine learning systems. This month, Subutai also presented a poster at COSYNE 2019 with MIT professor Carmen Varela. Two of our researchers, Mirko Klukas and Marcus Lewis, released a new paper on grid cells in collaboration with Ila Fiete of the Department of Brain and Cognitive Sciences at MIT.
Christy Maver • VP of MarketingSound: New Peer-Reviewed Paper | Numenta News – January 2019
Our latest paper on the Thousand Brains Theory of Intelligence was published this month in the journal Frontiers in Neural Circuits. The preprint version of this paper, which we shared in October 2018, was one of the most downloaded papers of bioRxiv in 2018. Jeff Hawkins and Christy Maver wrote a blog on the key insights of the paper and its implications for AI. The new paper was also highlighted in Quanta Magazine this month.
Christy Maver • VP of Marketing