A4N (AI/Machine Learning News)

We're on Pause for Now!

In this episode of A4N, I have a special announcement! While the A4N podcast will be going on indefinite hiatus, it is because I am now hosting the SuperDataScience Podcast. If you enjoyed A4N then you're sure to enjoy the SuperDataScience podcast, which publishes twice every week on Tuesdays and Fridays! You can check it out here: https://www.superdatascience.com/podcast In addition, a raw video feed of the podcast is available on YouTube [https://www.youtube.com/playlist?list=PLRDl2inPrWQX5zF3TLmcRY0JsW_wi0us9].

Automated Cancer Detection & Self–Driving Cars with Dr. Rasmus Rothe

In this episode of A4N, Dr. Rasmus Rothe joins us to discuss Merantix, the world’s first AI Venture Studio, which he co-founded in 2016. We discuss how Merantix companies are shaping the future by applying machine learning to automating cancer detection, training self-driving cars, and more! Dr. Rasmus Rothe is a German native, and co-founder of Merantix, the world’s first AI-focused venture studio. Merantix has already launched three successful AI-driven companies with three more operating in stealth, and raised an additional EUR 25 MM in 2020 to continue to apply world-class AI research to solving practical issues. Rasmus published 15+ papers on deep learning while attending Oxford, Princeton and ETH Zurich, where he received his Ph.D. in computer vision and deep learning. Before founding Merantix, Rasmus worked for BCG, Google, and built a deep learning service with 150m+ users. He is also a founding board member of the German AI Association. Reference links: 1:53 Previous episode of A4N [https://www.jonkrohn.com/a4n-podcast/2020/5/25/saving-the-oceans-amp-superdatascience-with-kirill-eremenko] 2:05 racy doctoral research [https://arxiv.org/abs/1510.07867] 2:28 Merantix [https://www.merantix.com/] 5:27 Deep Learning Illustrated [https://www.deeplearningillustrated.com/] 14:35 Merantix raised 25m euros [https://techcrunch.com/2020/01/27/berlin-venture-studio-merantix-raises-27m-fund-to-concentrate-on-ai-startups/] 20:00 Vara Healthcare [https://www.varahealthcare.com/] 20:10 Vara raised 6.5m euros ($7m) in Series A venture capital [https://www.eu-startups.com/2020/06/berlin-based-vara-raises-e6-5-million-for-ai-powered-breast-cancer-screening-software/] 31:41 Siasearch [https://www.siasearch.io/] 38:50 Dr. Alex Flint [https://www.linkedin.com/in/alexjflint/]'s start-up, Zippy, was acquired by General Motors' self-driving car unit in 2018 [https://techcrunch.com/2018/04/11/cruise-gms-self-driving-car-unit-brings-on-zippy-team/] 41:30 German A.I. [https://aiso-lab.com/german-ai-association/?ref=Welcome.AI] Association 46:20 Dr. Rasmus Rothe's LinkedIn [https://www.linkedin.com/in/rasmusrothe/] 46:28 Rasmus on Twitter [https://twitter.com/rasmusrothe?lang=en] 47:15 Jon Krohn on LinkedIn [https://www.linkedin.com/in/jonkrohn/] 47:40 Jon Krohn's email newsletter signup on his homepage [https://jonkrohn.com/] 48:00 Jon on Twitter [https://twitter.com/JonKrohnLearns]

Saving the Oceans & SuperDataScience with Kirill Eremenko

In this episode of our A4N podcast, our guest host Kirill Eremenko joins us to discuss SuperDataScience, his thriving data-science education business, and Vince introduces us to machine learning projects being applied to understand -- and preserve -- marine life in the oceans. Our special guest today is Kirill Eremenko. Kirill is Russian-born Australian, and Founder and CEO of SuperDataScience , an online educational portal for Data Scientists. Their mission is to “Make The Complex Simple,” and become the biggest learning portal for Data Science enthusiasts. Ever. He is also the Co-Founder of BlueLifeAI, Founder of the DataScienceGo conference, and hosts his own podcast, the SuperDataScience Podcast! Part I: Scaling a Global Data Business with Kirill Eremenko 4:25 OmniFocus [https://www.omnigroup.com/omnifocus/] 4:36 SuperDataScience [https://www.superdatascience.com/] 5:25 Udemy [https://www.udemy.com/] 8:00 The Productivity Project [https://amzn.to/2zTp9I8] 8:05 Deep Work [https://amzn.to/2LHfxDk] 8:20 The Great CEO Within [https://amzn.to/2X68gSE] 9:20 Peter Akkies: Get Stuff Done with OmniFocus 3 [https://learn.peterakkies.net/omnifocus-productivity] 17:57 DataScienceGO Virtual [https://www.datasciencego.com/virtual] 22:10 Fake Ad for “TPML” Part 2: 23:00 Saving the Oceans with Machine Learning 24:30 A.I. Is Helping Scientists Understand an Ocean’s Worth of Data [https://www.nytimes.com/2020/04/08/science/ai-ocean-whales-study.html] 30:18 Some like it hot - visual guidance for preference prediction [https://arxiv.org/abs/1510.07867] 31:15 Merantix [https://www.merantix.com/] 32:10 Wirewax [https://www.wirewax.com/] 33:05 Scale [https://scale.com/] 36:00 VGGish [https://pypi.org/project/vggish-keras/] 39:57 University of San Diego’s FRED [https://interestingengineering.com/engineering-students-test-ocean-cleaning-semi-autonomous-robot-fred] 41:18 Jon Krohn’s LinkedIn [http://linkedin.com/in/jonkrohn/] 41:23 Kirill Eremenko’s LinkedIn [https://www.linkedin.com/in/keremenko/] 41:23 Vince Petaccio II’s LinkedIn [https://www.linkedin.com/in/vincepetaccio/] 41:28 Twitter @JonKrohnLearns [http://twitter.com/JonKrohnLea%E2%80%A6] 41:49 jon@jonkrohn.com 41:52 email newsletter at jonkrohn.com [https://www.jonkrohn.com/] 42:00 Machine Learning Foundations GitHub [https://github.com/jonkrohn/ML-foundations] 42:38 Jon Krohn YouTube channel [http://jonkrohn.com/youtube]

Tackling Coronaviruses with Machine Learning, feat. Ben Taylor

For our second episode of A4N — the Artificial Neural Network News Network podcast — we discuss how anyone can contribute to the cure for the coronavirus pandemic, mind-controlled prosthetic limbs, and what it takes to succeed as an AI start-up. (Reference Links for video are below) Our special guest today is Ben Taylor. Ben is the Co-Founder and Chief AI Officer of zeff.ai, an AI product company, and former Chief Data Scientist at HireVue. He is a prolific thinker and innovator, and we’re thrilled to have him as a guest on A4N! Segment 1 on Tackling Coronaviruses with Machine Learning 1:12 Ben Taylor [https://www.linkedin.com/in/bentaylordata/], Hirevue [https://www.hirevue.com/] 2:23 untapt [http://untapt.com], zeff.ai [https://zeff.ai/] 4:41 Die Antwoord [https://home.dieantwoord.com/] 5:39 Maryam Khakpour LinkedIn post [https://www.linkedin.com/posts/mkhakpour_data-we-live-in-the-most-peaceful-times-activity-6645729000444559360-x5pY], Yuval Noah Harari’s book Homo Deus [https://www.ynharari.com/book/homo-deus/] 12:05 CORD-19 [https://www.statnews.com/2020/03/16/database-launched-to-spur-ai-tools-to-fight-coronavirus/] 16:33 First episode of A4N podcast [https://www.jonkrohn.com/a4n-podcast/2020/2/18/intrusive-face-detection-kaggle-cheaters-alphafold-and-becoming-an-ai-researcher] 17:00 Kaggle Covid-19-related tasks [https://www.kaggle.com/tags/covid19] 20:44 Folding@home [https://foldingathome.org/2020/03/15/coronavirus-what-were-doing-and-how-you-can-help-in-simple-terms/] Segment 2 on Mind Controlled Prosthetics 36:39 37:45 Reference blog post from University of Michigan [https://spotlight.engin.umich.edu/mind-control-prosthesis/] 47:41 Gabe Adams: Twitter account [https://twitter.com/no_limbs?lang=en] and YouTube video [https://www.youtube.com/watch?v=Ur8_IUldv-I] 54:27 Norman Doidge book The Brain That Changes Itself [https://en.wikipedia.org/wiki/The_Brain_that_Changes_Itself] Segment 3 on AI Startups 57:00 57:20 Reference blog post from Andreesen Horowitz [https://a16z.com/2020/02/16/the-new-business-of-ai-and-how-its-different-from-traditional-software] Jon Krohn / A4N YouTube channel [https://www.youtube.com/channel/UCup-fnSNRaByeuXOWqfnykw] Jon Krohn Twitter [https://twitter.com/JonKrohnLearns] Jon Krohn website [https://www.jonkrohn.com/] for signing up to email newsletter Jon Krohn LinkedIn [https://www.linkedin.com/in/jonkrohn/] Grant Beyleveld Twitter [https://twitter.com/grantbey] Ben Taylor Twitter [https://twitter.com/bentaylordata] Ben Taylor LinkedIn [https://www.linkedin.com/in/bentaylordata/]

Episode 1: Intrusive Face Detection, Kaggle Cheaters, AlphaFold, and Becoming an A.I. Researcher

For our inaugural episode of A4N — the "Artificial Neural Network News Network", a lighthearted podcast covering A.I. advances — we discuss real-time face recognition by London police, cheating in the famed Kaggle data-science competition, the landmark AlphaFold model for predicting protein structure from DNA, and how to become (or at least hire!) an A.I. researcher. Below’s a detailed breakdown of the episode’s four segments, with time stamps for all of the references that we mentioned. Segment 1 — Global headline news: Intrusive real-time face recognition In this segment, we discuss a controversial new approach by the Met police force in London, which is to use a (low-performing) facial-recognition system to flag “known criminals” in real-time in train stations. Segment host: Vince Petaccio II Reference news article [https://www.theguardian.com/technology/2020/jan/24/met-police-begin-using-live-facial-recognition-cameras] from The Guardian (1:10) Citizen App [https://citizen.com/] (9:10) Segment 2 — “Sports”: Kaggle Cheating In this segment, we introduce what the Kaggle data-science competition platform is and how folks (now formerly!) working at the well-known firm H2O.ai cheated to perform well. How unsportspersonlike! Segment host: Andrew Vlahutin Reference news article [https://towardsdatascience.com/kaggle-1st-place-winner-cheated-10-000-prize-declared-irrecoverable-bb7e1b639365] from Towards Data Science (14:38) Segment 3 — Health: AlphaFold In this segment, we introduce how DNA encodes proteins that do all of the work in our bodies. We then describe the new AlphaFold algorithm that crushes all of the existing approaches at predicting protein structure from DNA-sequence data. In the benchmark “CASP” competition, AlphaFold correctly predicted the structure of 58.1% of the proteins while the second-best algorithm correctly predicted 7.0% of them. Segment host: Grant Beyleveld Reference blog post [https://deepmind.com/blog/article/AlphaFold-Using-AI-for-scientific-discovery] from DeepMind (26:31) CASP [https://en.wikipedia.org/wiki/CASP] (30:05) AlphaGo documentary film [https://www.alphagomovie.com/] (37:20) Segment 4 — Classifieds: How to become (or hire!) an A.I. Researcher In this segment, we list ways that you can find hidden-gem A.I. researchers to hire from within a high-demand field. We also list approaches for breaking into the field of A.I. if you come from a non-traditional background, e.g., you don’t already have a PhD in machine learning or statistics. Segment host: Jon How to Hire Smarter than the Market [https://erikbern.com/2020/01/13/how-to-hire-smarter-than-the-market-a-toy-model.html] (38:33) Getting Hired in AI as Self-Taught Researcher [https://blog.floydhub.com/emils-story-as-a-self-taught-ai-researcher/] (40:39) Deep Learning [http://www.deeplearningbook.org/] book by Goodfellow et al. (41:30)