In this Q&A, we talked to the Viviane Clay, director of the Thousand Brains Project, Numenta’s new open-source research initiative.
In this Q&A, we talked to the Viviane Clay, director of the Thousand Brains Project, Numenta’s new open-source research initiative.
We highlight our top takeaways from the Brains@Bay meetup we hosted in spring, featuring Srikanth Ramaswamy, Jie Mei and Thomas Miconi. Our speakers did not disappoint, and the meetup was jam-packed with insights on how neuromodulators can lead to more flexible and adaptive AI.
Over the last ten years AI, specifically deep learning, has yielded remarkable results. What is less noticed is that these models are churning away at a staggering cost, not just in terms of dollars and cents, but also in terms of energy consumed. This blog post aims to explain what causes this outsized energy consumption, and how brain-based techniques can address AI’s incredibly high energy cost.
Interested in a career in brain-based AI? While there may not be a single answer or one clear path, I’ve gathered a list of tips and advice from our research team, designed to help anyone kick off their professional journey with brain-based AI.
Like many companies, Numenta has found it challenging to cope with the COVID-19 pandemic over the past two years. Our CEO Donna Dubinsky shares how Numenta’s COVID-19 protocols and hybrid workplace model enables our team to be effective and safe.
Numenta hosted a Brains@Bay meetup on December 15, 2021, entitled Sensorimotor Learning in AI. We’ve been fortunate to have some of the top experts in machine learning as guest speakers over the years, and the sensorimotor MeetUp followed in that tradition. Featuring Richard Sutton, Clément Moulin-Frier and Viviane Clay, their talks warrant a recap below.
Training dense networks requires large numbers of GPUs or TPUs, and can take days or even weeks, resulting in large carbon footprints and spiraling costs. We believe the solution to this problem lies in the brain’s efficiency and power to learn, which arises from sparse connections and activations of neurons.