Numenta and Gallium Studios both share a vision that leverages neuroscience in unique and powerful ways. Their collaboration is driving forward new and exciting possibilities in gaming and AI.
Numenta and Gallium Studios both share a vision that leverages neuroscience in unique and powerful ways. Their collaboration is driving forward new and exciting possibilities in gaming and AI.
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.
From releasing a book to publishing scientific papers, 2021 was quite a busy year for Numenta. If you haven’t had a chance to catch up on what we’ve been up to, I’ve rounded up our top content of the past year.
Six years ago, we wrote a blog about Classic AI, Simple Neural Networks, and Biological Neural Networks. Fast forward to today and it’s no surprise that the terms have continued to evolve. In this blog post, we’ll revisit these approaches, look at how they hold up today, and compare them to each other. We’ll also explore how each approach might address the same real-world problem.