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Annual Report 2020
This year, The Essentials Report, has curated & analyzed the content published by 234 influencers like Jeremy Howard and Pete Skomoroch, discussing hashtags such as #AtHomeWithAI , #NeurIPS2020 and #ICML2020.
Read our yearly report or learn more about Essentials.
What matters to our readers VS what matters to the rest of the world in 2020
Popular with our readers
Top Hashtags & Sources
Hashtags our readers care about
Top Mentioned Sources
Best articles in 2020
To the brain, reading computer code is not the same as reading language
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 ...
Continuous Delivery for Machine Learning
How to apply Continuous Delivery to build Machine Learning applications
#AtHomeWithAI - Learning Resources
Artificial intelligence could be one of humanity's most useful inventions. DeepMind aims to build advanced AI to expand our knowledge and find new answers. B...
PhD position in Machine Learning for Natural Language Processing
PhD position in Machine Learning for Natural Language Processing
How analog in-memory computing can solve power challenges of edge AI inference
Machine learning and deep learning already are integral parts of our lives. Artificial Intelligence (AI) applications via Natural Language Processing
Brains, Minds and Machines Summer Course
This page presents the class introduction video, slides, and further study resources.
Why your brain is not a computer
The long read: For decades it has been the dominant metaphor in neuroscience. But could this idea have been leading us astray all along?
Baidu Open-Sources RNA Prediction Algorithm for 2019 Novel Coronavirus
Baidu has already applied LinearFold to the 2019-nCoV, reducing prediction time from 55 minutes to 27 seconds.
A Guide to Writing the NeurIPS Impact Statement
Carolyn Ashurst, Markus Anderljung, Carina Prunkl, Jan Leike, Yarin Gal, Toby Shevlane, Allan Dafoe
Using ‘radioactive data’ to detect if a data set was used for training
Facebook AI has developed a new technique to mark the images in a data set, so that researchers can then determine if a particular machine learning model...
ML and NLP Publications in 2019
It is about time we once again take a look at the publication statistics of the past year. 2019 was another record breaking year in…
DeepMind x UCL | Deep Learning Lectures | 1/12 | Intro to Machine Learning & AI
In this lecture DeepMind Research Scientist and UCL Professor Thore Graepel explains DeepMind's machine learning based approach towards AI. He examples of ho...
AI 50: America’s Most Promising Artificial Intelligence Companies
Our second annual list highlights promising, private, U.S.-based companies that are using artificial intelligence in meaningful business-oriented ways.
Artificial Intelligence and the Common Sense of Animals
The problem of common sense remains a major obstacle to progress in artificial intelligence. Here, we argue that common sense in humans is founded on …
Introducing Ludwig, a Code-Free Deep Learning Toolbox
Uber AI developed Ludwig, a code-free deep learning toolbox, to make deep learning more accessible to non-experts and enable faster model iteration cycles.
