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Really enjoyed having this conversation with Beril on how AI can be used to help fight climate change, some philosophy on intelligence, the app she built to help farmers using space images from ESA & AR. Hope you enjoy!  Video version: https://youtu.be/snqU75ocV3A Beril on Twitter: https://twitter.com/berilsirmacek Beril on LinkedIn: https://linkedin.com/in/beril-sirmacek-8ba1328/ Her personal website: http://berilsirmacek.com/ Hit me up on Twitter: https://twitter.com/Ivangrov (+ cool updates on what I'm up to there) Contact me directly: fiddlerivan@gmail.com (currently available for paid work and consultations) Thanks for watching!

Really loved having this conversation with Mustapha who is an AI wizard from Ghana and CTO of Okuafo Foundation where they're trying to develop a computer vision AI application for smartphones that could allow many VERY rural farmers of Ghana, and potentially Africa as a whole, diagnose diseases of their livestock, deal with the lack of available medical animal specialists in those regions, and, thus, do all the good things that come along with having happy farmers and healthy livestock in the communities. However, building something like this is hard, but making it easy-to-use for many farmers who can't even read in the regions is the whole task of its own. Hope you enjoy!  Video version: https://youtu.be/0eY_Qh9o7ug Mustapha on Twitter: https://twitter.com/blackarchitech Okuafo Foundation: http://www.okuafofoundation.org/ Hit me up on Twitter: https://twitter.com/Ivangrov (+ cool updates on what I'm up to there) Contact me directly: fiddlerivan@gmail.com

Loved loved loved chatting with Connor Shorten who is a PhD at Florida Atlantic University in AI and a real gangster when it comes to GANs and Deep Learning in general. Connor writes for Towards Data Science and creates his awesome videos explaining cutting edge Deep Learning papers on YouTube at his Henry AI Labs YouTube channel. We're gonna be diving deep into GANs, Conv Net Architectures, why Deep Learning on graphs is cool and the most exciting projects he does with AI. And you can give it a listen wherever you get your podcast by searching The AI Wizards Show and I'll also put some links below! Hope you enjoy! :) Subscribe to Henry AI Labs to learn more about cutting edge deep learning research from Connor: https://www.youtube.com/channel/UCHB9VepY6kYvZjj0Bgxnpbw  YouTube version: https://youtu.be/cznHWopQZns Give it a listen here iTunes: https://podcasts.apple.com/us/podcast/the-ai-wizards-show/id1447813271?mt=2 Spotify:https://open.spotify.com/show/1AstqJiKjbda5XXJiW9k0Q Anchor: https://anchor.fm/TheAIWizardsShow Stitcher: https://www.stitcher.com/podcast/anchor-podcasts/the-ai-wizards-show CastBox: https://castbox.fm/channel/The-AI-Wizards-Show%7D-id1912309?country=ru (and everywhere else simply by searching "The AI Wizards Show") Time stamps:  Intro: 1:17 GANs: 1:59 Can GANs augment training data now? 13:34  Deep Learning on graphs: 16:54 Henry AI Labs: 28:15  How Connor started out in deep learning? 30:56 Conv net architectures: 34:20 The most complex and the most hard and exciting problems Connor took on with DL: 42:57 Connor on Twitter: https://twitter.com/CShorten30 Hit me up on Twitter: https://twitter.com/Ivangrov (cool updates on what I'm up to there) Things we've talked about:  Henry AI Labs: https://www.henryailabs.com/ Connor on Towards Data Science: https://towardsdatascience.com/@connorshorten300 Henry AI Labs on YouTube: https://www.youtube.com/channel/UCHB9VepY6kYvZjj0Bgxnpbw  Contact me directly: fiddlerivan@gmail.com

Really enjoyed chatting with David on how he cofounded a company that does LED displays in Spain 22 years ago, his early experience with tech, a LOT, LOT of us jumping back and forth on our experiences with AI at bus stations, David's journey into AI and him telling a lot of interesting stories on The AI WIzards Show! Hope you enjoy!  Watch it on YouTube: https://youtu.be/eUlmk5-H0ME Give it a listen here iTunes: https://podcasts.apple.com/us/podcast/the-ai-wizards-show/id1447813271?mt=2 Spotify:https://open.spotify.com/show/1AstqJiKjbda5XXJiW9k0Q Anchor: https://anchor.fm/TheAIWizardsShow Stitcher: https://www.stitcher.com/podcast/anchor-podcasts/the-ai-wizards-show (and everywhere else) Time stamps:  David's company: 2:22 Computers in the 80s: 8:04 What David's business does at bus stations and how AI can be used there: 45:18 Our experiences with AI at bus stations: 1:02:16 David tells strories: 2:40:06 David on Twitter: https://twitter.com/dav_ibanez Hit me up on Twitter: https://twitter.com/Ivangrov Things we've talked about:  Laforja Sistemas: https://sistemas.laforja.com/en/ David's blog: http://blog.ibanyez.info/

Really loved having this conversation with Thomas Huybrechts! Thomas is an engineering PhD student at Antwerp University, Belgium. Aside from teaching students, he's also involved in the University's lab that develops autonomous vehicles, runs his own engineering club for the students, involved in a logistics-for-trucking-companies startup, researching worst-case execution time for time-sensible software and a lot more! Hope you enjoy!  Time stamps:  The talking parrot: 1:26:29 The lab tour: 25:52  Thomas' experience (on crushing it) with dyslexia: 2:37:37 The logistics startup: 2:06:24 View the episode here: https://youtu.be/sRcGT0LkJTM Thomas on Twitter: https://twitter.com/huybthomas Hit me up on Twitter: https://twitter.com/Ivangrov Things we've talked about:  The logistics startup: https://www.digitrans.io The Antwerp University: https://www.uantwerpen.be/en/ The news coverage of the vehicles (in Dutch): https://vimeo.com/329057233 Thomas' research: https://www.researchgate.net/profile/Thomas_Huybrechts

Really loved having this amazingly interesting and insightful conversation with my friend John with whom I've been exchanging the experiences in Computer Vision for many months now) John has been in tech for over 30 years building companies as a CTO and now diving into Deep Learning with a lot of excitement.I have learned a lot from him over the course of our conversation. Hope you enjoy it!  John on Twitter: https://twitter.com/jlwebuser Hit me up on Twitter: https://twitter.com/Ivangrov Video Version: https://youtu.be/PkAw20iEIHo Things we've talked about: YOLOv3: https://pjreddie.com/darknet/yolo/ MXNET: https://mxnet.apache.org Concur Travel: https://www.concur.com/ Deep Lenses: https://aws.amazon.com/deeplens/

Really enjoyed talking with my guy Stig Bosmans who's doing his PhD at University of Antwerp and really passionate about building and testing  Internet of Things applications and finding ways to make them decentralize and scale. We jump from real high-tech research papers on simulating IoT to Belgian beer and challenges of wife approval in the life on an engineer! Hope your enjoy! Stig Bosmans on Twitter: https://twitter.com/stigbosmans Hit me up on Twitter: https://twitter.com/Ivangrov Things we've talked about: School of AI Antwerp: https://twitter.com/AiAntwerp School of AI: https://www.theschool.ai/ Stig's research papers: https://www.researchgate.net/profile/Stig_Bosmans

Loved getting really deep with Carlo in many AI-related topics as well as into other stuff :)  There's nothing I love more than having deep and meaningful conversation on exciting topics, like AGI, Education and many more,  and I value those moments tremendously, and this episode was one of those moments!    Watch on YouTube: https://youtu.be/uy_MPJOx2O4 Carlo on Twitter: https://twitter.com/carlolepelaars  You can also hit me up on Twitter: https://twitter.com/Ivangrov  Watch on YouTube: https://youtu.be/uy_MPJOx2O4 Things we've talked about (by Carlo):   Hanson Robotics: https://www.hansonrobotics.com   Sofia The Robot: https://en.wikipedia.org/wiki/Sophia_(robot) Einstein The Robot:  https://professoreinstein.com/  YouTube Conspiracy Theories: https://medium.com/@guillaumechaslot/how-algorithms-can-learn-to-discredit-the-media-d1360157c4fa Feynman Technique: https://www.youtube.com/watch?v=_f-qkGJBPts Richard Feynman Lectures: https://www.microsoft.com/en-us/research/project/tuva-richard-feynman/  Stanford house numbers dataset: http://ufldl.stanford.edu/housenumbers