Please Leave a Review!    THIS EPISODE COUNTS FOR CE! - but read the disclaimers it might not count for your state. Go here to take the test and get your free CE Credit!     Amanda Hill joins Andrew as a co-host today for a fascinating interview with computational mathematician, Andrew Carr. Specializing in machine learning, Andrew has served as a research intern at Google Brain, worked in geometric deep learning, and writes a blog where he muses upon math, deep learning, and programming. He is determined to prove to the world that his field of study is, indeed, ‘cool’, and he does just that here today as he explains his views on how data science, machine learning, and AI can play a transformative role in the future of dentistry.   The show begins with a couple of recent listener reviews before Andrew shares his background, his work at Google Brain, and his explanation of understanding and using data. He and our hosts then delve into the type of data traditionally collected in dentistry, some software that works with that data currently, and some ideas for what more it could do in the future. Andrew also discusses computer vision, depth estimation, chat bots, and robotics along with the roles they could play in dentistry, and he finishes by offering his advice for those looking to move from their current role in the dental field to his beloved field of machine learning and AI. Today’s collaboration between our insightful ‘tool users’ and this highly talented ‘tool maker’ will undoubtedly spark your imagination about just what is possible in the future for dentistry and dental professionals.     EPISODE HIGHLIGHTS:   Interview starts: 7:52     -   Some listener reviews from February -   Andrew’s background -   Google Brain -   Understanding and using data -   The type of data collected in dentistry -   The gap between the tool makers and tool users -   Dentistry software such as axiUm -   The evolving definition of AI -   Protected information -   Andrew’s perspective on data use, computer vision, and depth     estimation in dentistry in the future -   Chat bots, natural language processing and GBT-3 -   Robotics in dentistry -   Soft robotics -   Moving from the dentistry field to the field of machine learning and     AI   QUOTES:   “I think I only understood the word ‘cloud’ in that whole thing.”   “I promise, it’s interesting.”   “We went into Dental Hygiene because we could only count to 32, so be kind, and be slow.”   “Most data turns out to be pretty useless.”   “In general, data is used nowadays to solve business problems.”   “The idea is, of course, we use whatever data we’re collecting to provide treatment plans to achieve an outcome.”   “We need to be calibrated on all the inputs.”   “You can learn on data without ever seeing the data.”   “Computer vision is fraught with perils.”   “The machine learning systems that we build…they always try to find the easiest way to solve the problem, and it’s almost never the problem we actually intend to solve.”   “The time it would save!”   “It’s one motivated grad student away from completion.”   “It turns out, though, that making something that can understand long term context is the challenge.”   “What is a mouth and where is the head? You know, ‘Don’t squish anyone’ – that kind of thing.”   “I think Robotics is the next big thing as far as applications of machine learning.”   “It sounds like there’s a lot of things we could solve in dentistry if somebody’s interested in figuring it all out.”     LINKS:   A Tale of Two Hygienists homepage - https://ataleoftwohygienists.com/     AToTH on Facebook - https://www.facebook.com/aTaleOfTwoHygienists/     AToTH on Instagram - https://www.instagram.com/ataleoftwohygienists     AToTH on LinkedIn - https://www.linkedin.com/company/atoth/?originalSubdomain=ca         axiUm Dental Software   Automate the Boring Stuff   Everyday Data Science on Gumroad   Everyday Data Science on Amazon   Andrew's Twitter   Andrew's Blog   Email Andrew