True Machine Intelligence just like the human brain (Ep. 155)

<p>In this episode I have a really interesting conversation with Karan Grewal, member of the research staff at<a href='https://numenta.com/'> Numenta</a> where he investigates how biological principles of intelligence can be translated into silicon. We speak about the thousand brains theory and why neural networks forget. </p> <p> </p> <p> </p> References <ul><li style="font-weight:400;">Main paper on the Thousand Brains Theory: <a href='https://www.frontiersin.org/articles/10.3389/fncir.2018.00121/full'>https://www.frontiersin.org/articles/10.3389/fncir.2018.00121/full</a></li> <li style="font-weight:400;">Blog post on Thousand Brains Theory: <a href='https://numenta.com/blog/2019/01/16/the-thousand-brains-theory-of-intelligence/'>https://numenta.com/blog/2019/01/16/the-thousand-brains-theory-of-intelligence/</a></li> <li style="font-weight:400;">GLOM paper by Geoff Hinton: <a href='https://arxiv.org/pdf/2102.12627.pdf'>https://arxiv.org/pdf/2102.12627.pdf</a></li> <li style="font-weight:400;">Why neural networks forget? <a href='https://numenta.com/blog/2021/02/04/why-neural-networks-forget-and-lessons-from-the-brain'>https://numenta.com/blog/2021/02/04/why-neural-networks-forget-and-lessons-from-the-brain</a></li> </ul> <p> </p>