On today’s episode, we’re joined by Terrence Sejnowski, to discuss the ins and outs of spiking neural networks, including brain architecture, the relationship between neuroscience and machine learning, and ways to make NN’s more efficient through spiking. Terry also gives us some insight into hardware used in this field, characterizes the major research problems currently being undertaken, and the future of spiking networks.
Podden och tillhörande omslagsbild på den här sidan tillhör Sam Charrington. Innehållet i podden är skapat av Sam Charrington och inte av, eller tillsammans med, Poddtoppen.
