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 & 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 & Machine Learning enthusiasts.
Listen, subscribe, and review Future Tech Podcast. Contribute Bitcoin to fuel our interviews and keep us going!