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 (paloaltostrategy.com/team/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 (   • Munk Debate on Artificial Intelligence | B...  ) " and Data Science DC's "How Attention in 2017 got us Chat GPT. (   • How Attention in 2017 got us Chat GPT - Da...  ) "


Read more work from Kristen Collins (www.mercatus.org/hayekprogram/scholars/kristen-col…) .


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 (twitter.com/hayekprogram) on Twitter: @HayekProgram


Learn more about Academic & Student Programs (asp.mercatus.org/)


Follow the Mercatus Center (twitter.com/mercatus) on Twitter: @mercatus