Am Neumarkt 😱
287 subscribers
89 photos
3 videos
17 files
522 links
Machine learning and other gibberish
Archives: https://datumorphism.leima.is/amneumarkt/
Download Telegram
Jackson, D. E., & Ratnieks, F. L. W. (2006). Communication in ants. Current Biology, 16(15), R570–R574. https://doi.org/10.1016/j.cub.2006.07.015

I just realized that what we have been calling swarm intelligence is not very different from our single agent intelligence. They are all dealing with information diffusion. Using the diffusion, swarm intelligence shares the global information with dumb agents. Our brain, on the other hand, is using information diffusion (using Ca as an agent) as a way to regulate neuron firing rate. This is also a way to share the global firing status with each neuron.
It is even more interesting if we think of it as a hierarchical model. “Single agent” is using smaller agents for their own intelligence. A “single agent” is also a part of a larger agent.
In the end, we are just part of Gaia.
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.
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.
Hmmmm github disabled the YouTube download project
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.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.
The Wǔbǐ Effect
Radiolab
The story of wubi