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Smart cities, personal assistants, and human longevity; what do each of these things have in common? They’re all—in one technical way or another—possible only by virtue of the fact that neural networks and other models for AI processing exist. Alexey Potapov, PhD, is a researcher in the area of AI at SingularityNET, and he joins the podcast to talk about a number of topics, including the limitations of neural networks and how natural symbolic networks can compensate for them, areas of research in AI that are continuing to grow, the demand for improved AI presented by the rise of smart cities, and the current popularity of natural language processing models.

Tune in for the details and learn more at https://singularitynet.io/.

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