Machine learning and other gibberish
See also: https://sharing.leima.is
Archives: https://datumorphism.leima.is/amneumarkt/
See also: https://sharing.leima.is
Archives: https://datumorphism.leima.is/amneumarkt/
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.
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.
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.
https://deepmind.com/blog/article/FermiNet
Deepmind
FermiNet: Quantum Physics and Chemistry from First Principles
In an article recently published in Physical Review Research, we show how deep learning can help solve the fundamental equations of quantum mechanics for real-world systems. Not only is this an important fundamental scientific question, but it also could…
Better decisions through science: Math-based aids for making decisions in medicine and industry could improve many diagnoses — offen saving lives in the process
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
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.
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.
https://www.nobelprize.org/prizes/physics/1972/cooper/biographical/
I just learned today that the Cooper in BCS for superconductivity and the Cooper in BCM in neuroscience are the same Cooper. This guy is amazing.
I just learned today that the Cooper in BCS for superconductivity and the Cooper in BCM in neuroscience are the same Cooper. This guy is amazing.
NobelPrize.org
The Nobel Prize in Physics 1972
The Nobel Prize in Physics 1972 was awarded jointly to John Bardeen, Leon Neil Cooper and John Robert Schrieffer "for their jointly developed theory of superconductivity, usually called the BCS-theory"
Phys. Rev. Lett. 125, 161802 (2020) - Neutrino Self-Interactions and XENON1T Electron Recoil Excess
https://link.aps.org/doi/10.1103/PhysRevLett.125.161802
https://link.aps.org/doi/10.1103/PhysRevLett.125.161802
Grounded airline planes turned into pop-up restaurants sell out in 30 minutes
https://www.theverge.com/2020/10/12/21512515/singapore-airlines-airbus-a380-pop-up-restaurant-changi-airport-coronavirus-pandemic
https://www.theverge.com/2020/10/12/21512515/singapore-airlines-airbus-a380-pop-up-restaurant-changi-airport-coronavirus-pandemic
The Verge
Grounded airline planes turned into pop-up restaurants sell out in 30 minutes
As revenues plunge during the pandemic.
这次美国大选一个关键数据是拉丁裔的合格选民数量超越了黑人，将显著改变大选结果。在所有少数族裔里，拉丁裔的右倾程度是最严重的，2016年近三成拉丁裔选民都投了川普，今年尽管经历反种族主义抗议，拉丁裔的保守化程度并未得到根本性逆转，甚至可能被反向加强。Proud Boys目前的总负责人Enrique Tarrio就是古巴黑人，也是Latinos for Trump的核心成员。传统上人们认为拉丁裔的保守主义主要由古巴反共移民和福音派所塑造，但最近的分析发现实际情况要复杂许多。西北大学的Geraldo Cadava今年初出版The Hispanic Republican一书，扭转了很多对拉丁裔选民的刻板印象，比如拉丁裔保守派是一个非常多元、稳定的选票集团。自尼克松到现在，拉丁裔的共和党支持者数量一直都保持在三分之一，在小布什任下甚至一度涨到了四成。而相比古巴裔，墨西哥和波多黎各裔对拉丁裔共和党组织的贡献更卓著。Cadava这周还在哥大历史系的活动上宣传了自己的新书，可以在这看活动视频：https://www.youtube.com/watch?v=GXI22Cm7_jw&ab_channel=ColumbiaUniversityDepartmentofHistory
Well, if you understand how a dice works, this is so easy to explain. The zero-order solution has nothing to do with the materials or detailed physics. The edge is roughly representing four sides of a dice.... We could actually design a fair cylindrical dice by adjusting the ratio of diameter and the edge width if we want...
https://onlinelibrary.wiley.com/doi/full/10.1111/1475-6773.13553
"The intervention placed and retained frequent user, chronically homeless individuals in housing. It decreased psychiatric ED visits and shelter use, and increased outpatient mental health care, but not medical ED visits or hospitalizations. Limitations included more than one‐third of usual care participants received another form of subsidized housing, potentially biasing results to the null, and loss of power due to high death rates. PSH can house high‐risk individuals and reduce emergent psychiatric services and shelter use. Reductions in hospitalizations may be more difficult to realize."
"The intervention placed and retained frequent user, chronically homeless individuals in housing. It decreased psychiatric ED visits and shelter use, and increased outpatient mental health care, but not medical ED visits or hospitalizations. Limitations included more than one‐third of usual care participants received another form of subsidized housing, potentially biasing results to the null, and loss of power due to high death rates. PSH can house high‐risk individuals and reduce emergent psychiatric services and shelter use. Reductions in hospitalizations may be more difficult to realize."
