Alain Tapp's guest appearances

Alain Tapp

Finding Genius Podcast

J Scott

Bill Barhydt

Whitney Johnson

Alex Mashinsky

Ross Ulbricht

Lyn Ulbricht

Jameson Lopp

Marco Peereboom

Megan Ramos

Danny Flood

Abel James

Nir Eyal

Perry Marshall

Scott Young

Ben Goertzel

OwlTail

Professor and associate member of MILA, the Montreal Institute for Learning Algorithms, Allan Tapp, is a long-time researcher in physics, computer science, and mathematics. From his early studies in these fields, he now brings his expertise to artificial intelligence and deep learning. The MILA is an institute which began with the main ambition on the study of machine learning and learning of algorithms. Tapp realized the importance of artificial intelligence and took the opportunity to move into this field and is now fully committed to the technology through his continuing research at MILA. Tapp sits down with us to explain how the different types of AI machine learning work, the advancements in the field and he also discusses some common doomsday scenarios. Although he feels it is important that people are concerned about what machine learning means for man kind’s future, he clarifies of the unlikelihood of such occurrences based on the level of technology we are at today. In this interview, Tapp also touches on the possible future of AI and deep learning. He describes what he thinks is on the horizon, specifically his interests in the concept of memory based neural networks and better Q &amp; A dialogue with machines. For more information, visit: https://mila.quebec/en/

Alain Tapp – Professor At Montreal Institute For Learning Algorithms – The Future Of Ai & Deep Learning

Alain Tapp is a veteran in technology, having done his masters in Cryptography, then a PhD in Quantum Computing and is now working on AI &amp; Deep Learning. Alain details how machine learning works, and what are some of the approaches to training machines to “learn” and interpret. From machines understanding metaphors and sarcasm to passing the Turing test, there are still many unreachable areas of natural language processing by machines. Reinforcement Learning and the Deep Neural Networks could be the future of machine learning which could generally make an AI smarter over time. This is a great interview and a must listen for all AI &amp; Machine Learning enthusiasts. Listen, subscribe, and review Future Tech Podcast. Contribute Bitcoin to fuel our interviews and keep us going!

Alain Tapp on How Deep, Deep Learning Really is?