Jonathan Mugan's guest appearances

Jonathan Mugan

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

Singularity.FM 

Brains Behind AI 

Julie Shah

Gary Marcus

Melanie Mitchell

David Ferrucci

Seth Godin

James Martin

Noam Chomsky

Michael Greger

Joseph Mercola

Andrew Hessel

Ilias Diakonikolas

Calum Chace

Scott Clark

Celeste Kidd

Kevin Kelly

OwlTail

On our first episode of “Brains Behind AI” we chat with Jonathan Mugan, a principal scientist at Deumbra, Co-founder of AI company Deep Grammar, advisor to Kung Fu AI, and author of “Curiosity Cycle”, a book for educators and parents on how to prepare our children to be lifelong learners. Working for the Department of Defense at Deumbra, Jonathan is determined to develop robots who understand our world the way human children do, all in all, encoding what developmental psychologists have found in the way humans naturally act. We talk to Jonathan about discovering innovative technologies to build in fundamental concepts, then using AI to fill the gaps in between concepts. He also has massive involvement in the gaming industry, building interesting non-player characters that play well with different functions every single game. Jonathan is not only taking the AI world by storm, but revolutionizing the way people play video games. Make sure to tune in to hear more about Jonathan’s latest ventures, his studies behind AI, and his goal to build AI General Intelligence - a feat yet to be accomplished by anyone. Website: www.jonathanmugan.comTwitter: @jmugan

On our first episode of “Brains Behind AI” we chat with Jonathan Mugan, a principal scientist at Deumbra, Co-founder of AI company Deep Grammar, advisor to Kung Fu AI, and author of “Curiosity Cycle”, a book for educators and parents on how to prepare our children to be lifelong learners. Working for the Department of Defense at Deumbra, Jonathan is determined to develop robots who understand our world the way human children do, all in all, encoding what developmental psychologists have found in the way humans naturally act. We talk to Jonathan about discovering innovative technologies to build in fundamental concepts, then using AI to fill the gaps in between concepts. He also has massive involvement in the gaming industry, building interesting non-player characters that play well with different functions every single game. Jonathan is not only taking the AI world by storm, but revolutionizing the way people play video games. Make sure to tune in to hear more about Jonathan’s latest ventures, his studies behind AI, and his goal to build AI General Intelligence - a feat yet to be accomplished by anyone. Website: <a href="http://www.jonathanmugan.com" rel="nofollow" target="_blank">www.jonathanmugan.com</a>Twitter: @jmugan

Deumbra: Jonathan Mugan on developing robots who understand our world the way human children do

Like last week’s interview with Bruno Goncalves, this week’s interview was also recorded at the last O’Reilly AI Conference back in New York in June. Also like last week’s show, this week’s is also focused on Natural Language Processing and I think you’ll enjoy it. I’m joined by Jonathan Mugan, co-founder and CEO of Deep Grammar, a company that is building a grammar checker using deep learning and what they call deep symbolic processing. This interview is a great complement to my conversation with Bruno, and we cover a variety of topics from both the sub-symbolic and symbolic schools of NLP, such as attention mechanisms like sequence to sequence, and ontological approaches like WordNet, synsets, FrameNet, and SUMO. You can find the notes for this show at twimlai.com/talk/49

Like last week’s interview with Bruno Goncalves, this week’s interview was also recorded at the last O’Reilly AI Conference back in New York in June. Also like last week’s show, this week’s is also focused on Natural Language Processing and I think you’ll enjoy it. I’m joined by Jonathan Mugan, co-founder and CEO of Deep Grammar, a company that is building a grammar checker using deep learning and what they call deep symbolic processing. This interview is a great complement to my conversation with Bruno, and we cover a variety of topics from both the sub-symbolic and symbolic schools of NLP, such as attention mechanisms like sequence to sequence, and ontological approaches like WordNet, synsets, FrameNet, and SUMO. You can find the notes for this show at <a href="http://twimlai.com/talk/49" rel="nofollow" target="_blank">twimlai.com/talk/49</a>

Symbolic and Sub-Symbolic Natural Language Processing with Jonathan Mugan - TWiML Talk #49

Jonathan Mugan is not only a computer scientist specializing in machine learning and AI but also a father of three and the author of The Curiosity Cycle: Preparing Your Child for the Ongoing Technological Explosion. Since this is one of the few good books on the topic that I am aware of, I thought I’d […]

Jonathan Mugan on The Curiosity Cycle