Data Science & Coding
All technical, heavy or not, things around Data Science and coding.
Collection by Martina Pugliese
Future of Life Institute
Pause Giant AI Experiments: An Open Letter
2 min · · We call on all AI labs to immediately pause for at least 6 months the training of AI systems more powerful than GPT-4. · Shared by 270, including Evan Kirstel the $B2B Techfluencer, Gary Marcus, John Koetsier, Pippa Malmgren, Dan Rockwell, Carissa Véliz, Dennis Yu, Bob E. Hayes, Vicki Davis, Tristan Harris, Dr. Marie Haynes🌱, Gerd Leonhard, Yuval Noah Harari, Dion Hinchcliffe, Dr. Roman Yampolskiy, Jeff (Gutenberg Parenthesis) Jarvis, Steven Sinofsky, Marcel Salathé, Luke Robert Mason, MarketingProfs
twitter.com
JavaScript is not available.
· We’ve detected that JavaScript is disabled in this browser. Please enable JavaScript or switch to a supported browser to continue using twitter.com. You can see a list of supported browsers in our… · Shared by 5, including Martina Pugliese
Google AI
Google Research: Looking Back at 2020, and Forward to 2021
20+ min · · Posted by Jeff Dean, Senior Fellow and SVP of Google Research and Health, on behalf of the entire Google Research community When I joined... · Shared by 87, including Oscar MacDonald, Vikram Dutt, Jeff Dean (@🏡), Martina Pugliese, Jenny Halasz, sircharlsxavier, Jennifer Stirrup #MBA Topics: #AI #Data #Strategy, Carla Gentry, Bill Slawski ⚓ 🇺🇦
The Pudding
Nothing Breaks Like A.I. Heart
3 min · · An essay about artificial intelligence, emotional intelligence, and finding an ending · Shared by 156, including Albert Ràfols, Thomas Telandro, Andy Matuschak, Matt Daniels, Linda Liukas, Anita Hill, Cameron Yick ~ @hydrosquall@vis.social on mastodon, Martina Pugliese, Robin Kwong, luis antónio santos
IEEE
Stop Calling Everything AI, Machine-Learning Pioneer Says
6 min · · Michael I. Jordan explains why today’s artificial-intelligence systems aren’t actually intelligent · Shared by 323, including Nando de Freitas 🏳️🌈, Cyril Coste #DigitalTransformation, Gary Marcus, Ronald van Loon, Harold Sinnott, Dorothea Baur (Dr.), Evan Kirstel the $B2B Techfluencer, Erico Guizzo, Nige Roberts-Willson, AGI.Eth | MTL.Eth, John Hagel, Bob E. Hayes, Derek Lowe, Mike Tamir, PhD, Carla Gentry, Marcus Borba, Dr. Marigo Raftopoulos, Andreas Staub, Edward Tufte, Ben Jones
Google Cloud
A history of machine learning
10 min · · Modern Machine Learning Machine learning moves out of the lab and into our lives with applications across industries. When his field fell off the academic radar, computer scientist Geoffrey Hinton… · Shared by 8, including Martina Pugliese, René Clausen Nielsen
eugeneyan.com
Teardown: Real-time Machine Learning For Recommendations
20+ min · · Why real-time? How have China and US companies built them? How to design and build an MVP? · Shared by 8, including Martina Pugliese
MIT Technology Review
AI can now train on tiny 4-bit computers
6 min · · Powerful neural networks could soon train on smartphones with dramatically faster speeds and less energy. · Shared by 194, including AI, Harold Sinnott, Terence Mills, niazakhan, Nicolas Babin, John Nosta, Brian Ahier, Martina Pugliese, Katja Evertz, Merkstatt@troet.cafe 📯, ipfconline, andre hollstein
blog.chessvision.ai
Lifetime Expectancy of Chess Pieces
3 min · · A few weeks ago I was thinking about imbalances and asymmetries in chess, how they are created and how one can use them to their advantage. For example, trading a Bishop for a Knight, or the e-Pawn… · Shared by 4, including Martina Pugliese
Demis Hassabis
AlphaFold: a solution to a 50-year-old grand challenge in biology
8 min · · In a major scientific advance, the latest version of our AI system AlphaFold has been recognised as a solution to this grand challenge by the organisers of the biennial Critical Assessment of protein… · Shared by 384, including Zach Weinersmith, Dion Almaer, Dr. Marigo Raftopoulos, Kirk Borne #AlteryxInspire, Elad Gil, Danielle Fong 💁🏻♀️, Nando de Freitas 🏳️🌈, Mario Klingemann💧💦, Dave McClure, Dr. James Canton, Mathias Bynens, Patrick OShaughnessy, Tom Raftery, Amjad Masad ⠕, Mike Tamir, PhD, Roger Highfield, AGI.Eth | MTL.Eth, Luciano Floridi @lucianofloridi@mastodon.world, Nathan Benaich, Josh Olszewicz
veekaybee.github.io
Data science is different now.
16+ min · · We owe it to juniors to tell them the truth about the field today. · Shared by 23, including Mara Averick, dunschtig, Martina Pugliese
Science Magazine
Eye-catching advances in some AI fields are not real
4 min · · When tuned up, old algorithms can match the abilities of their successors · Shared by 113, including AAAS, Cătălina Movileanu, Cory Doctorow @pluralistic@mamot.fr Red Team Blues, hardmaru, George M 🇪🇺, News from Science, Alex Barrera, Katja Evertz, Tamara McCleary, Martina Pugliese, Nige Roberts-Willson, John Koetsier, Nico Müller 🇺🇦
The Guardian
Florence Nightingale, datajournalist: information has always been beautiful
2 min · · Florence Nightingale was a master in visualising statistics - see how she did it · Shared by 9, including Martina Pugliese, @ShannaPeeples@mastodon.nl
Sebastian Raschka
An introduction to parallel programming using Python's multiprocessing module
6 min · · CPUs with multiple cores have become the standard in the recent development of modern computer architectures and we can not only find them in supercomputer f... · Shared by 7, including Martina Pugliese
scott.fortmann-roe.com
Understanding the Bias-Variance Tradeoff
13+ min · · When we discuss prediction models, prediction errors can be decomposed into two main subcomponents we care about: error due to bias and error due to variance. There is a tradeoff between a model's ability to minimize bias and variance. Understanding these two types of error can help us diagnose model results and avoid the mistake of over- or under-fitting. · Shared by 33, including rohit, Paulo Gaspar, Martina Pugliese
excavating.ai
Excavating Training Sets
20+ min · · Excavating Training Sets - The Politics of Images in Machine Learning · Shared by 45, including Kunal Bhatia (✈️ SF), David Smith, Martina Pugliese, Moritz Stefaner, René Clausen Nielsen, Howard Getson, #MuskOut (not parody), Kate Crawford, Dr. Ganapathi Pulipaka 🇺🇸, AGI.Eth | MTL.Eth, Jer Thorp