
In this first part of our discussion, Brad and I discuss the state of neuromorphics and its relation to neuroscience and artificial intelligence. He describes his work adding new neurons to deep learning networks during training, called neurogenesis deep learning, inspired by how neurogenesis in the dentate gyrus of the hippocampus helps learn new things while keeping previous memories intact. We also talk about his method to transform deep learning networks into spiking neural networks so they can run on neuromorphic hardware, and the neuromorphics workshop he puts on every year, the Neuro Inspired Computational Elements (NICE) workshop.
Show Notes:
Support the show to get full episodes and join the Discord community. Check out my free video series about what's missing in AI and...
Support the Podcast David and I talk about his work to understand how sound waves floating in the air get transformed into meaningful concepts...
We made it to the last bit of our 100th episode celebration. These have been super fun for me, and I hope you’ve enjoyed...