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John Kaufhold on the History of Image Recognition and Deep Learning

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Manage episode 406240328 series 3549322
Content provided by Melody McDonald and Mercatus Center at George Mason University. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Melody McDonald and Mercatus Center at George Mason University or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

On today's episode of Virtual Sentiments, host Kristen Collins interviews John Kaufhold on the history of image recognition and deep learning. With over 30 years of experience in the artificial intelligence and machine learning world, John shares his history starting from his early days in speech recognition in the 90s. He covers the ImageNet Big Bang in 2012, the dramatic improvement of image recognition error rates and hardware power, neural networks, the development of chatbots, terminology, and discusses challenges such as data privacy, bias reproduction, existential risk, transparency in data sets, and more!

Dr. John Kaufhold is an expert with over 30 years of experience in artificial intelligence and deep learning. He is the founder of Deep Learning Analytics, a machine learning company, and serves on the Advisory Board of the DC Data Community.

References and related works to this episode: "Munk Debate on Artificial Intelligence | Bengio & Tegmark vs. Mitchell & LeCun" and Data Science DC's "How Attention in 2017 got us Chat GPT."

Read more work from Kristen Collins.

If you like the show, please subscribe, leave a 5-star review, and tell others about the show! We're available on Apple Podcasts, Spotify, Amazon Music, and wherever you get your podcasts.

Follow the Hayek Program on Twitter: @HayekProgram

Learn more about Academic & Student Programs

Follow the Mercatus Center on Twitter: @mercatus

  continue reading

18 episodes

Artwork
iconShare
 
Manage episode 406240328 series 3549322
Content provided by Melody McDonald and Mercatus Center at George Mason University. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Melody McDonald and Mercatus Center at George Mason University or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

On today's episode of Virtual Sentiments, host Kristen Collins interviews John Kaufhold on the history of image recognition and deep learning. With over 30 years of experience in the artificial intelligence and machine learning world, John shares his history starting from his early days in speech recognition in the 90s. He covers the ImageNet Big Bang in 2012, the dramatic improvement of image recognition error rates and hardware power, neural networks, the development of chatbots, terminology, and discusses challenges such as data privacy, bias reproduction, existential risk, transparency in data sets, and more!

Dr. John Kaufhold is an expert with over 30 years of experience in artificial intelligence and deep learning. He is the founder of Deep Learning Analytics, a machine learning company, and serves on the Advisory Board of the DC Data Community.

References and related works to this episode: "Munk Debate on Artificial Intelligence | Bengio & Tegmark vs. Mitchell & LeCun" and Data Science DC's "How Attention in 2017 got us Chat GPT."

Read more work from Kristen Collins.

If you like the show, please subscribe, leave a 5-star review, and tell others about the show! We're available on Apple Podcasts, Spotify, Amazon Music, and wherever you get your podcasts.

Follow the Hayek Program on Twitter: @HayekProgram

Learn more about Academic & Student Programs

Follow the Mercatus Center on Twitter: @mercatus

  continue reading

18 episodes

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