What are the drawbacks of neural networks, and how can generative capsule networks overcome them? How do generative network capsules work? What are HyperNets and how do they mitigate the problem of variable binding? These are just a few of the questions answered on today’s episode by an expert in the field of AI research at SingularityNET, Alexey Potapov, PhD. Among a number of complex and intriguing topics, Dr. Potapov discusses past and present research in the field of AI, the problems they’re looking to tackle, and the various applications of different models of AI networks, which include smart cities, analyses of combinations of genes associated with longevity, and personal assistant devices.

Press play to hear the full conversation and learn more about the work being done at SingularityNET by visiting https://singularitynet.io/.

Podcast: Play in new window | Download | Embed