9 Best Articles in 2022
VentureBeat
Facebook’s AI speeds up natural language processing without additional training
VentureBeat
2 min read · · In a preprint paper, Facebook researchers propose a new approach that speeds up natural language processing without requiring additional training. · Shared by 84, including Kathleen Walch, Katja Evertz, Ronald Schmelzer, Evan Kirstel the $B2B Techfluencer, Carla Gentry, Hendrik Dietrich
Massachusetts Institute of Technology (MIT)
To the brain, reading computer code is not the same as reading language
Massachusetts Institute of Technology (MIT)
9 min read · · MIT neuroscientists have found reading computer code does not rely on the regions of the brain involved in language processing. Instead, it activates the “multiple demand network,” which is also… · Shared by 535, including Massimo Pigliucci, Carla Gentry, Bryan Onel, Bas Grasmayer, Nils Hitze, Michael Feathers, Dean Anthony Gratton, Glen Gilmore | 🌻🥽Metaverse 🕳🐇, MIT CSAIL, Gregor B. Rosenauer, Vikram Dutt, Oscar MacDonald, Nico Müller 🇺🇦, Christian Fauteux, Cameron Yick, niazakhan, Miguel Angel Escotet, rogerverhoeven, Matthew Turland
KDnuggets
The Complete Collection of Data Science Books
KDnuggets
4 min read · · Read the best books on Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, MLOps, Robotics, IoT, AI Products Management, and Data Science for Executives. · Shared by 174, including Nicolas Babin #CES2023, Jansnet, Matthew Turland, ipfconline #CES2023, Wilko S. Wolters 🇩🇪🇪🇺, Dr. Ganapathi Pulipaka 🇺🇸
tomassetti.me
A Guide to Natural Language Processing
tomassetti.me
20+ min read · · Natural Language Processing (NLP) offers amazing possibilities to elaborate text and extract information from it. This guide is a complete overview of NLP. · Shared by 69, including felixmichel, Moritz Klack, Brian T. Edwards, Rezha Julio, Mike Ivars, Nando 💪🇦🇺🇦🇷, Chung Chen
Scott Galloway
WMDs | No Mercy / No Malice
Scott Galloway
6 min read · · The element fueling economic growth is not a rare earth metal, processing power, or NFTs: It’s attention. The average American spends 11 hours per day consuming media, 65% of their waking life.… · Shared by 681
Quanta Magazine
How AI Transformers Mimic Parts of the Brain
Quanta Magazine
3 min read · · Neural networks originally designed for language processing turn out to be great models of how our brains understand places. · Shared by 366, including Harold Sinnott #DigitalTransformation, Vaughan Bell, Nicolas Babin #CES2023, hardmaru, Evan Kirstel the $B2B Techfluencer, Brian Ahier, ipfconline #CES2023, Cyril Coste #DigitalTransformation, Jim Marous 💯, AI, Tarik ESSAADI, Dr. Sally Eaves #SASExplore #TISummit22, Theodora (Theo) Lau - 劉䂀曼 🌻
youtube.com
The Future of Natural Language Processing
youtube.com
· Transfer Learning in Natural Language Processing (NLP): Open questions, current trends, limits, and future directions. A walk through interesting papers and ... · Shared by 66, including Alexander Seifert, AGI.Eth | AIKing.Eth, Oleg Baskov, Pete Skomoroch, Josh Wolfe
go.usa.gov
NHC Active Tropical Cyclones
go.usa.gov
2 min read · · [an error occurred while processing this directive] · Shared by 495, including Astrid Caldas, Homeland Security, Trey Tweets Into the Void, Carly, National Hurricane Center, Deborah Blum, Dave deBronkart, PAHO/WHO, Esther Schindler, News19 WLTX, Ajit Pai, Dr. Jeffrey Guterman
KDnuggets
Cheatsheets on Data Science, Machine Learning, AI & Analytics
KDnuggets
· Python String Processing Cheatsheet Try this string processing primer cheatsheet to gain an understanding of using Python to manipulate and process strings at a basic level. Data Preparation in R… · Shared by 268
Trending
Quanta Magazine
How AI Transformers Mimic Parts of the Brain
Quanta Magazine
3 min read · · Neural networks originally designed for language processing turn out to be great models of how our brains understand places. · Shared by 366, including Harold Sinnott #DigitalTransformation, Vaughan Bell, Nicolas Babin #CES2023, hardmaru, Evan Kirstel the $B2B Techfluencer, Brian Ahier, ipfconline #CES2023, Cyril Coste #DigitalTransformation, Jim Marous 💯, AI, Tarik ESSAADI, Dr. Sally Eaves #SASExplore #TISummit22, Theodora (Theo) Lau - 劉䂀曼 🌻
KDnuggets
The Complete Collection of Data Science Projects
KDnuggets
2 min read · · The second part covers the list of Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, Data Engineering, and MLOps. · Shared by 69, including Dr. Ganapathi Pulipaka 🇺🇸, Craig Brown, PhD
Knowable Magazine
Making computer chips act more like brain cells
Knowable Magazine
4 min read · · Flexible organic circuits that mimic biological neurons could increase processing speed and might someday hook right into your head · Shared by 96
Big Think
We are building a "species-level brain" with big data and ubiquitous sensors
Big Think
8 min read · · Massive data processing power coupled with ever cheaper sensors will help humans create a species-level brain and memory. · Shared by 68
More like this
MarketWatch
Artificial intelligence has advanced so much, it wrote this article
MarketWatch
3 min read · · Natural language processing rivals humans' skills. · Shared by 210, including Ste Davies, Nige Willson, Kyle Bunch, Iain Brown, PhD, John Nosta, Evan Kirstel the $B2B Techfluencer, Howard Getson, Stephan Woodtli, Carla Gentry, Jansnet, LARRY ELKAN
MIT Technology Review
The field of natural language processing is chasing the wrong goal
MIT Technology Review
5 min read · · At a typical annual meeting of the Association for Computational Linguistics (ACL), the program is a parade of titles like “A Structured Variational Autoencoder for Contextual Morphological… · Shared by 157, including Pascal Sulser, Pip Morris, Carla Gentry, Dr Catherine Breslin, Oscar MacDonald, Esther Schindler, Brian Laung Aoaeh, CFA, Matthias Lampe, Evan Kirstel the $B2B Techfluencer, R.NFT R “Ray” Wang 王瑞光 #SuiteWorld #UIPathForward
MIT Technology Review
An AI helps you summarize the latest in AI
MIT Technology Review
3 min read · · Semantic Scholar, a scientific literature search engine, is using recent breakthroughs in natural-language processing to give researchers the tl;dr on papers. · Shared by 186, including rogerverhoeven, Helen Yu, andre hollstein, Carla Gentry, Francesco Corea, AI, Nicolas Babin #CES2023, Justin Cranshaw, Dr. Marigo Raftopoulos, Terence Mills
Massachusetts Institute of Technology (MIT)
Artificial intelligence sheds light on how the brain processes language
Massachusetts Institute of Technology (MIT)
5 min read · · MIT research suggests the underlying function of “next-word prediction” computational models closely resembles the function of language-processing centers in the human brain. · Shared by 182, including AI, ipfconline #CES2023, Terence Mills, Dr. Marcell Vollmer 🇺🇦 #StaySafe & Carpe Diem, Yves Mulkers, Marcus Borba, Martin Ford, Harold Sinnott #DigitalTransformation, Nicolas Babin #CES2023, Dr. Sally Eaves #SASExplore #TISummit22, Jim Marous 💯, Brian Ahier, Iain Brown, PhD, Mariella Petrigni 🌍 Translator, Theodora (Theo) Lau - 劉䂀曼 🌻
KDnuggets
Deep Learning for Signal Processing: What You Need to Know
KDnuggets
5 min read · · Signal Processing is a branch of electrical engineering that models and analyzes data representations of physical events. It is at the core of the digital world. And now, signal processing is starting… · Shared by 42, including Terence Mills, Helen Yu, Thomas Telandro, Harold Sinnott #DigitalTransformation
stanfy.com
Advanced Natural Language Processing Tools for Bot Makers
stanfy.com
~14 min read · · First look at possible dialogue structure, how to understand the concepts behind advanced natural language processing tools, and look into details on the platforms that we can use for our bots today. · Shared by 60, including Rodrigo Prior, Clemens, Stephanie A Kowalski, Chung Chen, Chris Messina, #bottish, Klaus Eck, Leslie D, Tomas Vestenicky
InformationWeek
AI: The New Order of Business
InformationWeek
5 min read · · Tales of robots and smart speakers are eclipsed by those of automation and natural language processing, which are drivers for greater efficiencies, increased productivity and new revenue. · Shared by 159, including Marc R Gagné MAPP 🍁, Yves Mulkers, Evan Kirstel the $B2B Techfluencer, Jansnet
Harvard Business Review
The Power of Natural Language Processing
Harvard Business Review
7 min read · · How companies can use NLP to help with brainstorming, summarizing, and researching. · Shared by 117, including Evan Kirstel the $B2B Techfluencer, 🟣 Antonio Vieira Santos #FutureOfWork #InnoTrans2, Theodora (Theo) Lau - 劉䂀曼 🌻, Bob E. Hayes
The Verge
How Firefox is using Pocket to try to build a better news feed than Facebook
The Verge
9 min read · · Pocket CEO Nate Weiner on how local data processing is the future of personalized recommendations. · Shared by 276, including Nando 💪🇦🇺🇦🇷, Sébastien Bonset, Oleg Baskov, Hüseyin Erkmen, Paul Watson, Bjorn Larsen, Michelle Boisson, Ferit (at 🏠) 🌙, Andreas Heer, Merkstatt, Lluís Codina, Javi Cantón, Turner Burns, Mark Channon, Jonathan Kogan, Alexandra Wong, Thomas Power, luis antónio santos, Klaus Eck, 𝐦𝐫𝐯𝐧
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