Alexey Potapov's guest appearances

Alexey Potapov

Finding Genius Podcast

FutureTech Podcast

Hannah Crum

Alex Lewin

Elliot Roth

Darshan Shah

Greg Kieser

Kevin Moore

Jay W. Richards

John O’Connor

Eva Detko

Damien Blenkinsopp

Rupert Sheldrake

Mark Bertin

Johns Hopkins

Aimee Tariq

Naveen Jain

OwlTail

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/.

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 <a href="https://singularitynet.io/" rel="nofollow" target="_blank">https://singularitynet.io/</a>.

Networking Toward a Future of Artificial Intelligence Alexey Potapov

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/.

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 <a href="https://singularitynet.io/" rel="nofollow" target="_blank">https://singularitynet.io/</a>.

On the Latest in AI Research and Development—Alexey Potapov—SingularityNET    