AI Knowledge Map: how to classify AI technologies | by Francesco Corea | Medium
https://medium.com/@Francesco_AI/ai-knowledge-map-how-to-classify-ai-technologies-6c073b969020
https://medium.com/@Francesco_AI/ai-knowledge-map-how-to-classify-ai-technologies-6c073b969020
Medium
AI Knowledge Map: how to classify AI technologies
A sketch of a new AI technology landscape
Swets,_Dawes,_Monahan_2000_Unknown_Better_Decisions_through_Science.pdf
1 MB
Better decisions through science: Math-based aids for making decisions in medicine and industry could improve many diagnoses — offen saving lives in the process
https://arxiv.org/abs/2010.06119
ReviewRobot: Explainable Paper Review Generation based on Knowledge Synthesis
To assist human review process, we build a novel ReviewRobot to automatically assign a review score and write comments for multiple categories. A good review needs to be knowledgeable, namely that the comments should be constructive and informative to help improve the paper; and explainable by providing detailed evidence. ReviewRobot achieves these goals via three steps: (1) We perform domain-specific Information Extraction to construct a knowledge graph (KG) from the target paper under review, a related work KG from the papers cited by the target paper, and a background KG from a large collection of previous papers in the domain. (2) By comparing these three KGs we predict a review score and detailed structured knowledge as evidence for each review category. (3) We carefully select and generalize human review sentences into templates, and apply these templates to transform the review scores and evidence into natural language comments. Experimental results show that our review score predictor reaches 71.4-100% accuracy. Human assessment by domain experts shows that 41.7%-70.5% of the comments generated by ReviewRobot are valid and constructive, and better than human-written ones 20% of the time. Thus, ReviewRobot can serve as an assistant for paper reviewers, program chairs and authors.
ReviewRobot: Explainable Paper Review Generation based on Knowledge Synthesis
To assist human review process, we build a novel ReviewRobot to automatically assign a review score and write comments for multiple categories. A good review needs to be knowledgeable, namely that the comments should be constructive and informative to help improve the paper; and explainable by providing detailed evidence. ReviewRobot achieves these goals via three steps: (1) We perform domain-specific Information Extraction to construct a knowledge graph (KG) from the target paper under review, a related work KG from the papers cited by the target paper, and a background KG from a large collection of previous papers in the domain. (2) By comparing these three KGs we predict a review score and detailed structured knowledge as evidence for each review category. (3) We carefully select and generalize human review sentences into templates, and apply these templates to transform the review scores and evidence into natural language comments. Experimental results show that our review score predictor reaches 71.4-100% accuracy. Human assessment by domain experts shows that 41.7%-70.5% of the comments generated by ReviewRobot are valid and constructive, and better than human-written ones 20% of the time. Thus, ReviewRobot can serve as an assistant for paper reviewers, program chairs and authors.
Hi, I just created the group Am Neumarkt on Cappuccino the audio messaging app with music.
To join me, download the app on http://capp.fm and use this private invite code: 618848.
To join me, download the app on http://capp.fm and use this private invite code: 618848.
Forwarded from Am Rhein
Media
StellarX
Create collaborative spaces & rich simulations without code.
Product topic: Virtual Reality, Design Tools, Education, Artificial Intelligence, Augmented Reality, Tech
View on Product Hunt
StellarX
Create collaborative spaces & rich simulations without code.
Product topic: Virtual Reality, Design Tools, Education, Artificial Intelligence, Augmented Reality, Tech
View on Product Hunt
Product Hunt
StellarX - Create collaborative spaces & rich simulations without code | Product Hunt
StellarX is a collaborative XR sandbox that empowers anyone to create their own immersive environments and simulations. Simply drag-and-drop, grab and go, point and click, or set it and forget it. You name it, consider it done — without code.
Forwarded from Am Rhein
Media
Explorer | Explore Human Knowledge
Explorer by Batou. Navigate wikipedia visually!.
Product topic: Web App, User Experience, Education, Artificial Intelligence, Tech
View on Product Hunt
Explorer | Explore Human Knowledge
Explorer by Batou. Navigate wikipedia visually!.
Product topic: Web App, User Experience, Education, Artificial Intelligence, Tech
View on Product Hunt
Product Hunt
Explorer | Explore Human Knowledge - Explorer by Batou Navigate wikipedia visually! | Product Hunt
Explorer by Batou is a knowledge tool designed to explore the breadth and depth of human knowledge. It is the first iteration in a series of approaches to user interface design. Stay tuned!
The effect of influenza vaccination on trained immunity: impact on COVID-19 | medRxiv
https://www.medrxiv.org/content/10.1101/2020.10.14.20212498v1
> Hospital workers who got vaccinated were significantly less likely to develop COVID than those who did not
I believe that is just a simple sampling problem. People had flu shot this year because they're really careful about infectious diseases. They maybe also sanitize more.
https://www.medrxiv.org/content/10.1101/2020.10.14.20212498v1
> Hospital workers who got vaccinated were significantly less likely to develop COVID than those who did not
I believe that is just a simple sampling problem. People had flu shot this year because they're really careful about infectious diseases. They maybe also sanitize more.
medRxiv
The effect of influenza vaccination on trained immunity: impact on COVID-19
Every year, influenza causes 290.000 to 650.000 deaths worldwide and vaccination is encouraged to prevent infection in high-risk individuals. Interestingly, cross-protective effects of vaccination against heterologous infections have been reported, and long…
https://www.nature.com/articles/d41586-020-02986-y
> Muotri, a neuroscientist at the University of California, San Diego (UCSD), has found some unusual ways to deploy his. He has connected organoids to walking robots, modified their genomes with Neanderthal genes, launched them into orbit aboard the International Space Station, and used them as models to develop more human-like artificial-intelligence systems.
> Muotri, a neuroscientist at the University of California, San Diego (UCSD), has found some unusual ways to deploy his. He has connected organoids to walking robots, modified their genomes with Neanderthal genes, launched them into orbit aboard the International Space Station, and used them as models to develop more human-like artificial-intelligence systems.
Nature
Can lab-grown brains become conscious?
Nature - A handful of experiments are raising questions about whether clumps of cells and disembodied brains could be sentient, and how scientists would know if they were.
Urban Dictionary Embeddings for Slang NLP Applications - ACL Anthology
https://www.aclweb.org/anthology/2020.lrec-1.586
Haha very cool
Water <-> butt-splash
Soda <-> sodagasm
https://www.aclweb.org/anthology/2020.lrec-1.586
Haha very cool
Water <-> butt-splash
Soda <-> sodagasm
ACL Anthology
Urban Dictionary Embeddings for Slang NLP Applications
Steven Wilson, Walid Magdy, Barbara McGillivray, Kiran Garimella, Gareth Tyson. Proceedings of the 12th Language Resources and Evaluation Conference. 2020.
Frequentism and Bayesianism: A Practical Introduction | Pythonic Perambulations
http://jakevdp.github.io/blog/2014/03/11/frequentism-and-bayesianism-a-practical-intro/
http://jakevdp.github.io/blog/2014/03/11/frequentism-and-bayesianism-a-practical-intro/
jakevdp.github.io
Frequentism and Bayesianism: A Practical Introduction | Pythonic Perambulations
Endnote Click | Tools for Academic Research | KausalFlow
https://tools.kausalflow.com/tools/endnote-click/
https://tools.kausalflow.com/tools/endnote-click/
Kausalflow
Endnote Click
A browser extension to read and download papers for free and legally.
Presidential Election 2020: Live Results and Analysis | The New Yorker
https://www.newyorker.com/news/election-2020/live-2020-presidential-election-results
https://www.newyorker.com/news/election-2020/live-2020-presidential-election-results
The New Yorker
Presidential Election 2020 Live Updates: Joe Biden Wins
The latest news and updates from the 2020 Presidential, Senate, House, and gubernatorial races.
https://www.scientificamerican.com/article/the-international-space-station-is-doomed-to-die-by-fire/
What is next? Space stations by private companies like bigelow?
What is next? Space stations by private companies like bigelow?
Scientific American
The International Space Station Is Doomed to Die by Fire
Twenty years after the famed orbital outpost went up, scientists and engineers are deciding how and when it will come back down
Screen Shot 2020-11-04 at 16.49.27.png
338.7 KB
https://www.nytimes.com/interactive/2020/11/03/us/elections/forecast-president.html
Comment Am Neumarkt:
The best information designers are summoned on each election day. It is a good time to learn about the best practices of data visualization.
This “paths to victory” visualization is one of the best I have ever seen. If the put some probabilities on each branch, it becomes a transitional decision tree to estimate risks used by investors.
Does it tell us anything useful directly? Not really. Not all branches are created equal. Without probabilities, It is as useless as a piece of blank paper. But it helps people do some little experiments to feel the competitiveness. In some sense, the probabilities are encoded in the reader’s head. Each reader provides a different reality of probabilities.
Also they started to report uncertainties. I remember last time they were using jittering pointers to educate people of the uncertainties. Now they have range of estimates. Showing ranges is an important step forward.
Comment Am Neumarkt:
The best information designers are summoned on each election day. It is a good time to learn about the best practices of data visualization.
This “paths to victory” visualization is one of the best I have ever seen. If the put some probabilities on each branch, it becomes a transitional decision tree to estimate risks used by investors.
Does it tell us anything useful directly? Not really. Not all branches are created equal. Without probabilities, It is as useless as a piece of blank paper. But it helps people do some little experiments to feel the competitiveness. In some sense, the probabilities are encoded in the reader’s head. Each reader provides a different reality of probabilities.
Also they started to report uncertainties. I remember last time they were using jittering pointers to educate people of the uncertainties. Now they have range of estimates. Showing ranges is an important step forward.