KDnuggets
Decision Trees vs Random Forests, Explained
5 min read · Aug 2nd · A simple, non-math heavy explanation of two popular tree-based machine learning models.
Reader View · Shared by 213, including Ines Bieler
KDnuggets
An Introduction to Hill Climbing Algorithm in AI
4 min read · Jul 21st · Hill climbing is basically a search technique or informed search technique having different weights based on real numbers assigned to different nodes, branches, and goals in a path.
Reader View · Shared by 91, including Ines Bieler
KDnuggets
Machine Learning Algorithms Explained in Less Than 1 Minute Each
4 min read · Jul 13th · Learn about some of the most well known machine learning algorithms in less than a minute each.
Reader View · Shared by 355, including Ines Bieler, Kirk Borne, 👨✈️ AA-Admiral ⚓🚀🌌
github.com
sensity-ai/dot: The Deepfake Offensive Toolkit
Jun 7th · The Deepfake Offensive Toolkit. Contribute to sensity-ai/dot development by creating an account on GitHub.
Shared by 36, including Elijah Manor, Ines Bieler
ZDNet
AI: The pattern is not in the data, it's in the machine
6 min read · May 29th · No, the patterns computers create are not an inherent property of data, they are an emergent property of the structure of the program itself.
Reader View · Shared by 961, including Bob E. Hayes, AI, Howard Getson, Ronald van Loon, Jansnet, Nicolas Babin, Kelly Hungerford 🌻, Ines Bieler
medium.datadriveninvestor.com
Artificial Intelligence is Growing, But What Do You Really Know?
~11 min read · May 30th · Smart systems hold hope to reach ever greater profits
Reader View · Shared by 120, including Harold Sinnott 📲 #DigitalTransformation, AI, Ines Bieler, Dr. Marcell Vollmer 🇺🇦 #StaySafe & Carpe Diem, Iain Brown, PhD
Data Science Central
Why Gato from Deepmind is a game changer
2 min read · May 15th · This week, there was (yet another) game changing announcement from the folks at Deepmind named Gato Gato is a cool cat 🙂 It leads us closer on the road to AGI because Gato is a transformer model that…
Reader View · Shared by 47, including Ines Bieler, Dr. Craig Brown, Kirk Borne
Data Science Central
Fallacy of Becoming Data-driven – Part 2: Cultural Transformation
5 min read · Apr 18th · #DataScience #AI #ML #DigitalTransformation #IOT #EdgeAnalytics #DataMonetization #DataEconomics #Nanoeconomics #Economics #DataManagement #DataEngineering #FeatureEngineering #DesignThinking…
Reader View · Shared by 32, including Ines Bieler, Dean of Big Data 🎓 #DOBD, Dr. Craig Brown, Bob E. Hayes, Nige Willson, Kirk Borne
techpolicy.press
Humanity's Big Bet on Artificial Intelligence
20+ min read · Apr 11th · A conversation With Gary Marcus on priorities in artificial intelligence research, and the perils of regarding the technology as panacea.
Reader View · Shared by 71, including Gary Marcus 🇺🇦, Bob E. Hayes, Ines Bieler, #DigitalHealth Futurist 👨💻
TNW
OpenAI’s new image generator sparks both excitement and fear
4 min read · Apr 9th · DALL-E 2, OpenAI's new text-to-image generator, has a remarkable ability to create and edit pictures -- and some people are worried.
Reader View · Shared by 175, including Merkstatt, Ines Bieler
VentureBeat
Andrew Ng predicts the next 10 years in AI
8 min read · Mar 21st · Andrew Ng discusses what he calls the “data-centric approach” to AI, and how it relates to his work with Landing AI and the big picture of AI today.
Reader View · Shared by 211, including Gary Marcus 🇺🇦, Dr. Marigo Raftopoulos, Carla Gentry, Stanford HAI, Florian Graillot, Harold Sinnott 📲 #DigitalTransformation, Kirk Borne, Nicolas Babin, Nico Müller 🇺🇦, Bob E. Hayes, Ines Bieler, Amber Mac, Theodora (Theo) Lau - 劉䂀曼 🌻, Pascal Sulser
World Economic Forum
People trust AI fake faces more than real ones, according to a new study
3 min read · Mar 15th · AI can create faces that are indistinguishable - and more trusted - than real faces, finds a new study, which urges more safeguards to prevent deep fakes.
Reader View · Shared by 90, including Antonio Grasso, Iain Brown, PhD, Ines Bieler
itproportal.com
10 promising artificial intelligence startup ideas for 2022
9 min read · Mar 8th · The most promising AI ideas for startups changing the world
Reader View · Shared by 71, including Iain Brown, PhD, Marcus Borba, Ines Bieler, Damien de France 🌍 🕊️🇺🇦
MIT Technology Review
The metaverse is a new word for an old idea
7 min read · Feb 8th · To understand what we are—and should be—building, we need to look beyond Snow Crash.
Reader View · Shared by 184, including Dan Hill, Miguel Angel Escotet, Yves Mulkers, Gerd Leonhard, Allison Arieff, Kelly Hungerford 🌻, Evan Kirstel the $B2B Techfluencer, Katja Evertz, Tony Parisi.eth 🇺🇦🌻 in THEE Metaverse, Brian Laung Aoaeh, CFA, Bill Johnston, Marcus Borba, Ines Bieler, Kate Crawford, Damir Kusar, Evan Selinger, Genevieve Bell, Wilko S. Wolters 🇩🇪🇪🇺, Cyril Coste #DigitalTransformation
Massachusetts Institute of Technology (MIT)
Demystifying machine-learning systems
4 min read · Jan 27th · MIT researchers created a technique that can automatically describe the roles of individual neurons in a neural network with natural language, helping machine learning practitioners better understand…
Reader View · Shared by 153, including Iain Brown, PhD, Ronald van Loon, Dr. Ganapathi Pulipaka 🇺🇸, Matthew Turland, Harold Sinnott 📲 #DigitalTransformation, Ines Bieler, Carla Gentry, Bob E. Hayes, Nicolas Babin, AI, Ferit (at 🏠) 🌙, Damien de France 🌍 🕊️🇺🇦, Dr. Sally Eaves #TechForGood, ipfconline
The American Prospect
The Myth of Artificial Intelligence
7 min read · 2021-12-08 · ‘The Age of AI’ advances a larger political and corporate agenda.
Reader View · Shared by 129, including Yves Mulkers, Bob E. Hayes, Iain Brown, PhD, Dr. Marigo Raftopoulos, Dorothea Baur (Dr.), Marcus Borba, 🟣 Antonio Vieira Santos #FutureOfWork, Ines Bieler, Nige Willson
