💡 David Wolpert linking non-equilibrium physics and Bayesian networks
“Now we can start to analyze how thermodynamics of systems from cells to digital circuits depend on network structures connecting subsystems of those systems
https://t.co/pF8YbThaY2
“Now we can start to analyze how thermodynamics of systems from cells to digital circuits depend on network structures connecting subsystems of those systems
https://t.co/pF8YbThaY2
www.santafe.edu
New research explores the thermodynamics of off-equilibrium systems
<p>Until now, systems far from thermal equilibrium couldn’t be analyzed with conventional thermodynamics and statistical physics. In a paper published in <em>Physical Review Letters</em>, David Wolpert presents a new hybrid formalism to overcome these limitations.</p>
Complex Systems Seminar Special Event | Searching for the densest network that does not always synchronize
Steven Strogatz, Applied Mathematics, Cornell University
Tuesday, November 17, 2020
2:30-4:00 PM
Virtual
https://lsa.umich.edu/cscs/news-events/all-events.detail.html/78499-20052321.html
Steven Strogatz, Applied Mathematics, Cornell University
Tuesday, November 17, 2020
2:30-4:00 PM
Virtual
https://lsa.umich.edu/cscs/news-events/all-events.detail.html/78499-20052321.html
lsa.umich.edu
All Events | U-M LSA Center for the Study of Complex Systems
Consistency and identifiability of football teams: a network science perspective
https://www.nature.com/articles/s41598-020-76835-3
https://www.nature.com/articles/s41598-020-76835-3
💰 Interested in doing population-scale social network analysis? There are now two #PhD positions and one #Postdoc position in computational social sciences available @UvA_Amsterdam! Deadline is December 3.
https://t.co/HkUf8ObZeg
https://t.co/HkUf8ObZeg
Using agent-based simulations, it shows that two network intervention strategies that divide or balance social groups can substantially reduce SARS-CoV-2 transmission while preserving the economy. https://t.co/3jGVV4OSM4
PNAS
Network interventions for managing the COVID-19 pandemic and sustaining economy
It has been challenging to identify nonpharmaceutical intervention strategies that reconcile two conflicting aims: Reducing the spread of infections while maintaining economic activities amid the coronavirus disease 2019 (COVID-19) pandemic. Commonly implemented…
💻 A machine learning tool called diffusion-maps has been used to identify topological phase transitions in experimental data.
https://physicsworld.com/a/machine-learning-spots-topological-phase-transitions-in-experimental-data/
https://physicsworld.com/a/machine-learning-spots-topological-phase-transitions-in-experimental-data/
Physics World
Machine learning spots topological phase transitions in experimental data
Diffusion-maps method needs no prior knowledge about a physical system
🦠 مردم بیشتر در چه مکانهایی به کرونا مبتلا شدند؟!
مقالهای در نیچر گزارش میده که عمده ابتلاها در مکانهای کوچیک مثل - به ترتیب - رستورانها، باشگاههای ورزشی، کافهها و هتلها بوده. آمار ابتلا در رستورانها و غذاخوریهای عمومی در صدر جدول و ۴ برابر بیشتر از بقیه بوده.
https://t.co/WO4E0PMcp9
مقالهای در نیچر گزارش میده که عمده ابتلاها در مکانهای کوچیک مثل - به ترتیب - رستورانها، باشگاههای ورزشی، کافهها و هتلها بوده. آمار ابتلا در رستورانها و غذاخوریهای عمومی در صدر جدول و ۴ برابر بیشتر از بقیه بوده.
https://t.co/WO4E0PMcp9
NY Times
Limiting Indoor Capacity Can Reduce Covid Infections Significantly, New Study Shows
Research using cellphone data in 10 U.S. cities last spring could help influence officials’ decisions on new restrictions as cases resurge around the country.
This week's paper is a novel approach to describe an "individual" in Biology without relying on features like cell membrane, but instead on a mathematical formulation that takes into account the information propagated in time.
You can read the annotated paper by David's Krakauer et al here: https://t.co/QuPd7A8m65
You can read the annotated paper by David's Krakauer et al here: https://t.co/QuPd7A8m65
Come join us to discuss how not to construct #functional #brain #networks! We will talk about nodes and links definitions.
17.11.2020 at 10AM EET
https://aalto.zoom.us/j/67072679004
How to attend the seminar? Check https://bit.ly/3euKzvE
17.11.2020 at 10AM EET
https://aalto.zoom.us/j/67072679004
How to attend the seminar? Check https://bit.ly/3euKzvE
💰 #PhD positions in Advanced Machine Learning at Cambridge
Application deadline: noon December 3, 2020.
Details about the application process can be found here:
https://t.co/2SwKfm9V8k
Application deadline: noon December 3, 2020.
Details about the application process can be found here:
https://t.co/2SwKfm9V8k
💰 Networks, embeddings, dynamics. If that sounds exciting to you, and if you're also searching for a #postdoc, Come and work on a (super cool) project: https://t.co/xwc3jP5l0s
https://www.dtu.dk
💰 Two interesting opportunities for #PhD/#Postdoc at the Informatics Institute, University of Amsterdam!
https://t.co/bEuil6N7KG
Check also: https://t.co/JrxtuMJDV9
https://t.co/bEuil6N7KG
Check also: https://t.co/JrxtuMJDV9
Forwarded from Sitpor.org سیتپـــــور
Media is too big
VIEW IN TELEGRAM
🦠 از کجا بفهمیم که داریم کرونا رو شکست میدیم؟
بر خلاف آمار روزانهای که شبکههای خبری میدن، که اصلا معلوم نمیکنه قراره در آینده چه اتفاقی بیافته، در این ویدیو یاد میگیریم که
چطور از ریاضیات و نمودارهای لگاریتمی میشه کمک گرفت تا آیندهای که پیش رو داریم رو روشنتر ببینیم و قدرت تحلیل و تصمیمگیریمون رو بالا ببریم، نتایج تصمیمات مختلف کشورها رو به روشنی ببینیم و حدس بزنیم که «کی قراره کرونا رو شکست بدیم؟»
🔗 sitpor.org/1399/08/beating-covid-19
#ما_کرونا_را_شکست_میدهیم
~~~~~~
@sitpor
instagram.com/sitpor_media
~~~~~~~
بر خلاف آمار روزانهای که شبکههای خبری میدن، که اصلا معلوم نمیکنه قراره در آینده چه اتفاقی بیافته، در این ویدیو یاد میگیریم که
چطور از ریاضیات و نمودارهای لگاریتمی میشه کمک گرفت تا آیندهای که پیش رو داریم رو روشنتر ببینیم و قدرت تحلیل و تصمیمگیریمون رو بالا ببریم، نتایج تصمیمات مختلف کشورها رو به روشنی ببینیم و حدس بزنیم که «کی قراره کرونا رو شکست بدیم؟»
🔗 sitpor.org/1399/08/beating-covid-19
#ما_کرونا_را_شکست_میدهیم
@sitpor
instagram.com/sitpor_media
~~~~~~~
Complex Systems Studies
🦠 مردم بیشتر در چه مکانهایی به کرونا مبتلا شدند؟! مقالهای در نیچر گزارش میده که عمده ابتلاها در مکانهای کوچیک مثل - به ترتیب - رستورانها، باشگاههای ورزشی، کافهها و هتلها بوده. آمار ابتلا در رستورانها و غذاخوریهای عمومی در صدر جدول و ۴ برابر بیشتر…
🦠 حالا که رستورانها در رتبه اول در پخش بیماری هستن، چه راهکاری برای کاهش شیوع کرونا وجود داره؟
https://www.nature.com/articles/d41586-020-03140-4
https://www.nature.com/articles/d41586-020-03140-4
Nature
How to stop restaurants from driving COVID infections
US mobile data suggests restaurants, gyms and cafes can be COVID hotspots — and reveals strategies for limiting spread.
💉 واکسن معرفی شده توسط BioNTech از یک فناوری جدید استفاده میکنه که به رِنای پیامرسان مربوطه.
بیشتر بخونید:
Nanomedicine comes of age with mRNA vaccines
بیشتر بخونید:
Nanomedicine comes of age with mRNA vaccines
💾 New review article in Nature Reviews Physics: "Topological methods for data modelling" (by Gunnar Carlsson):
https://t.co/16PD6hriSo
https://t.co/16PD6hriSo
Nature Reviews Physics
Topological methods for data modelling
The rapidly developing field of topological data analysis represents data via graphs rather than as solutions to equations or as decompositions into clusters. This Review discusses the methods and provides examples from physics and other sciences.
Evolutionary Surrogate-assisted Prenoscription
Professor of Computer Science
The University of Texas at Austin and Cognizant Technology Solutions
Thursday 19 November at 18:00-19:30
Register! by 16 November at https://webropol.com/ep/HDLS-19112020
Abstract
How can we make good decisions in business, engineering design, science, education, and indeed in life in general? Good decisions are often based on experience: recalling what decisions were made in similar situations in the past, how well they worked out, and modifying them to achieve good outcomes in current situation. Evolutionary Surrogate-assisted Prenoscription (ESP) is a machine learning technology that makes it possible to come up with good decision strategies automatically. The idea is to use historical data to build a predictive surrogate model, and population based search (i.e. evolutionary computation) to discover good decision strategies against it. I’ll review the technology and evaluate it in several examples, including optimizing behavior in sequential decision tasks, and optimizing non-pharmaceutical interventions in the COVID-19 pandemic. The method is found to be sample efficient and creative, forming a foundation for optimizing many decision tasks in the future.
How does machine learning help in decision-making and optimizing non-pharmaceutical interventions against Covid19Risto Miikkulainen
Professor of Computer Science
The University of Texas at Austin and Cognizant Technology Solutions
Thursday 19 November at 18:00-19:30
Register! by 16 November at https://webropol.com/ep/HDLS-19112020
Abstract
How can we make good decisions in business, engineering design, science, education, and indeed in life in general? Good decisions are often based on experience: recalling what decisions were made in similar situations in the past, how well they worked out, and modifying them to achieve good outcomes in current situation. Evolutionary Surrogate-assisted Prenoscription (ESP) is a machine learning technology that makes it possible to come up with good decision strategies automatically. The idea is to use historical data to build a predictive surrogate model, and population based search (i.e. evolutionary computation) to discover good decision strategies against it. I’ll review the technology and evaluate it in several examples, including optimizing behavior in sequential decision tasks, and optimizing non-pharmaceutical interventions in the COVID-19 pandemic. The method is found to be sample efficient and creative, forming a foundation for optimizing many decision tasks in the future.