anatomyof.ai
Anatomy of an AI System
Summary · 20+ min read · From 2018 · Professors Kate Crawford and Vladan Joler have created a map that visualizes the many processes that make the Amazon Echo work. In this essay, which accompanies their map, they take you on a fascinating journey outlining the global networks of raw material, human labor and data behind today’s popular gadgets. · Shared by 280, including carlo zapponi 🐟, Grégoire Japiot 🌻, Jer Thorp, Aleksandra Wisniewska, Dr. Anna Jobin, ThomNagy, Chris Messina, Andreas Von Gunten, Scott Williams, Javi Cantón, getAbstract, Brian Roemmele, Caroline Jarrett, Dominik Grolimund, von Moerenburgh, Mike Tamir, PhD, Daniel Boos, Marsha Collier, Victor Lee, Dr. Marcell Vollmer 🇺🇦 #StaySafe & Carpe Diem
MIT Technology Review
What is AI? We drew you a flowchart to work it out
6 min read · From 2018 · The definition of artificial intelligence is constantly evolving, and the term often gets mangled, so we are here to help. · Shared by 302, including Markus Maurer, Brian Laung Aoaeh, CFA, Jonathan Kogan, Javi Cantón, Stephanie A Kowalski, Chris Schultz ✌️, Oliver Ewinger, Thomas Pleil, Richard MacManus, Jennifer Stirrup #MBA #AI Next up: O'Reilly webin, René Clausen Nielsen, Paulmears, Rachel Miller | #InfluencerMarketing, von Moerenburgh, Vala Afshar, Andreas Heer, MIT CSAIL, Kirk Borne, Paul Roetzer, Thomas Power
aws.amazon.com
Predictive Maintenance with AWS IoT and Amazon Machine Learning
~14 min read · From 2016 · Predictive maintenance is one of many appealing use cases for the Internet of Things (IoT). Using sensors to predict the health of a fleet of machines in the field can prevent down time without… · Shared by 5, including von Moerenburgh
MIT Technology Review
Machine learning, meet quantum computing
7 min read · From 2018 · A quantum version of the building block behind neural networks could be exponentially more powerful. · Shared by 121, including Niklaus Gerber, ɐpuɐʎᴉW ᴉʇɐʍɥǝN, Clemens, Philipp Laurim, Merkstatt, Oleg Baskov, Ward Plunet, Oliver Ewinger, von Moerenburgh, Stephan Woodtli, Michael Duergner, Sir Lord Travis Wright, Web3 Speaker, Tarik ESSAADI
medium.com
Introducing TensorFlow Graphics: Computer Graphics Meets Deep Learning
4 min read · From 2019 · Posted by Julien Valentin and Sofien Bouaziz · Shared by 44, including Cameron Yick, Oscar MacDonald, Thomas Telandro, bouiboui, von Moerenburgh, Nico Müller 🇺🇦
Product Hunt 😸
The next big thing: AI music
1 min read · From 2019 · With the advent of platforms like Spotify, Apple Music, Pandora, Tidal and Amazon Music, streaming has become the lifeblood of the music industry. In f · Shared by 32, including Ryan Hoover, Jonathan Kogan, von Moerenburgh
lobe.ai
Lobe | Deep Learning Made Simple
2 min read · From 2018 · An easy-to-use visual tool that lets you build, train, and ship custom deep learning models without writing code. · Shared by 701, including Herbert Bay, Ward Plunet, Ron McIntyre, Anthony Hamelle, Chris Messina, Bjorn Larsen, Andrew Wilkinson, Daniel Hüfner, ThomNagy, Chris Heilmann, Matthias Lampe, Scott Williams, programarfacil.com, Kam, Fabricio Teixeira, Rodrigo Prior, von Moerenburgh, Tibor Martini 🇺🇦, Dominik Grolimund, L. Taylor Banks
a16z
A16Z AI Playbook
1 min read · From 2017 · Artificial Intelligence (AI) is a set of computer science techniques that, as Stanford professor Andrew Ng is fond of saying, gives your software super powers. Building on our Primer on Artificial… · Shared by 702, including Thomas Power, DonDahlmann, Marcus Kuhn, Mark Kaigwa, Tim Herbig, Martin Rajcan, Philip Junker, Hampus Jakobsson, Mike Ivars, Scott Williams, Katja Evertz, Dominik Grolimund, Kunal Bhatia (✈️ NYC till 9/23), Bill Johnston, Romain Lalanne, von Moerenburgh, Ha Duong, StΞfano ₿ernardi 🌲🏴, Florian Graillot, Chris Messina
freeCodeCamp.org
Want to know how Deep Learning works? Here’s a quick guide for everyone.
6 min read · From 2017 · Artificial Intelligence (AI) and Machine Learning (ML) are some of the hottest topics right now. · Shared by 930, including Vlad the Inhaler 😈 (AlgoCompSynth by znmeb), Ines Bieler, Katja Evertz, Nicolas Berg, Andreas Heer, DonDahlmann, Mara Averick, Klaus Eck, Javi Cantón, FANZO 🧢 #NFT365, Chris Roth, Ron McIntyre, von Moerenburgh, Dominik Grolimund, Patrick Scheuerer, Thomas Power, Helmi, Dr. Nettra Pan 🦇🔊, Herbert Bay, Massimiliano Aroffo
r2d3.us
A visual introduction to machine learning
5 min read · From 2015 · What is machine learning? See how it works with our animated data visualization. · Shared by 2064, including Aleyda Solis 🇺🇦, Casey Smith, Kevin_Indig, Marck Vaisman, Kenneth Kalmer, Rand Fishkin, Gideonro, Daniel Boos, Chris Messina, Stowe Boyd, designshard, Mara Averick, Thomas Power, Data Science Renee, Mike Tamir, PhD, Parin Vachhani, Helen Yu, hardmaru, hakan, David Luescher
machinelearnings.co
The Non-Technical Guide to Machine Learning & Artificial Intelligence
20+ min read · From 2017 · Machine learning and artificial intelligence (ML and AI) have seized Tech mindshare in a way few topics have in recent memory. · Shared by 5235, including Gabriele, Tibor Martini 🇺🇦, Pete Skomoroch, Thomas Power, Brent Summers, Kris Fannin, Chris Messina, Sir Lord Travis Wright, Web3 Speaker, Klaus Eck, Frank Cieslik, Werner Vogels, Kenneth Kalmer, Harpreet Singh, Herbert Bay, DonDahlmann, Fabricio Teixeira, 🟣 Antonio Vieira Santos #FutureOfWork #InnoTrans2, Nils Hitze, Howard Getson, Mike Ivars
Forbes
AI 50: America’s Most Promising Artificial Intelligence Companies
5 min read · From 2020 · Our second annual list highlights promising, private, U.S.-based companies that are using artificial intelligence in meaningful business-oriented ways. · Shared by 105, including Theodora (Theo) Lau - 劉䂀曼 🌻, AI, Yves Mulkers, Dr. Sally Eaves #InnoTrans2022 #GTC22, Terence Mills, Josh Kopelman, Martin Ford, Glen Gilmore | 🌻🥽Metaverse 🕳🐇, Bilal Zuberi, Iain Brown, PhD, Cem Sertoglu 🤖, David Frankel, Marc R Gagné MAPP 🍁, LARRY ELKAN, Bob E. Hayes, Jennifer Stirrup #MBA #AI Next up: O'Reilly webin, Rick King, Jim Marous 💯, Florian Graillot, Elinor Stutz
War on the Rocks
The Promise and Risks of Artificial Intelligence: A Brief History
8 min read · From 2020 · Editor’s Note: This is an excerpt from a policy roundtable “Artificial Intelligence and International Security” from our sister publication, the Texas · Shared by 158, including Iain Brown, PhD, Terence Mills, Gregor B. Rosenauer, von Moerenburgh, Katja Evertz, Carla Gentry, Jonathan Kogan, Nige Willson, Evan Kirstel the $B2B Techfluencer
Forbes
10 Ways AI Is Improving New Product Development
9 min read · From 2020 · Product Development teams the most advanced in their use of AL & ML achieve greater economies of scale, efficiency and speed gains. · Shared by 94, including Dr. Marigo Raftopoulos, Yves Mulkers, ΛLΞX TRΞJʘ, Marcus Borba, James Gingerich, @Expeflow #WorkEasier #RPA, von Moerenburgh, Bob E. Hayes, Nicolas Babin, Evan Kirstel the $B2B Techfluencer, Dr. Marcell Vollmer 🇺🇦 #StaySafe & Carpe Diem, Vinod Sharma, Nige Willson
minimaxir.com
Tempering Expectations for GPT-3 and OpenAI’s API
8 min read · From 2020 · GPT-3 is indeed a large step forward for AI text-generation, but there are very many caveats with the popular demos and use cases. · Shared by 170, including Paul O'Brien, Axel Rauschmayer, William El Kaim, Jose Luis Calvo, Dayyan Smith, Gary Marcus, Neil Hart 💙, Vincent Terrasi, von Moerenburgh, Gengo 🦁, Nico Müller 🇺🇦, Delip Rao, Katja Evertz, Chris Messina, your #1 source for absurdist true crime 🐍👑 🌷, Mic King, jorge-ferrer, Piotr Migdal, Oliver Raduner
Towards Data Science
Every Machine Learning Algorithm Can Be Represented as a Neural Network
8 min read · From 2020 · The Algorithm of Algorithms · Shared by 240, including Nicolas Babin, Vinod Sharma, Andreas Staub, von Moerenburgh, Alyssa C, Christian Surchi, Dr. Ganapathi Pulipaka 🇺🇸, Leonard Enoch, rohit, Jansnet, Ronald van Loon, Oliver Ewinger, Pip Morris
