2020 International Conference on Mathematical Neuroscience - Digital Edition (6th-7th of July 2020)
https://www.danieleavitabile.com/icmns2020digital/
https://www.danieleavitabile.com/icmns2020digital/
🎞 Missing Semester:
As computer scientists, we know that computers are great at aiding in repetitive tasks. However, far too often, we forget that this applies just as much to our use of the computer as it does to the computations we want our programs to perform. We have a vast range of tools available at our fingertips that enable us to be more productive and solve more complex problems when working on any computer-related problem. Yet many of us utilize only a small fraction of those tools; we only know enough magical incantations by rote to get by, and blindly copy-paste commands from the internet when we get stuck.
This class is an attempt to address this.
We want to teach you how to make the most of the tools you know, show you new tools to add to your toolbox, and hopefully instill in you some excitement for exploring (and perhaps building) more tools on your own. This is what we believe to be the missing semester from most Computer Science curriculum
در آپارات:
https://www.aparat.com/playlist/406966
computing ecosystem literacyhttps://www.youtube.com/watch?v=Z56Jmr9Z34Q&list=PLyzOVJj3bHQuloKGG59rS43e29ro7I57J
As computer scientists, we know that computers are great at aiding in repetitive tasks. However, far too often, we forget that this applies just as much to our use of the computer as it does to the computations we want our programs to perform. We have a vast range of tools available at our fingertips that enable us to be more productive and solve more complex problems when working on any computer-related problem. Yet many of us utilize only a small fraction of those tools; we only know enough magical incantations by rote to get by, and blindly copy-paste commands from the internet when we get stuck.
This class is an attempt to address this.
We want to teach you how to make the most of the tools you know, show you new tools to add to your toolbox, and hopefully instill in you some excitement for exploring (and perhaps building) more tools on your own. This is what we believe to be the missing semester from most Computer Science curriculum
در آپارات:
https://www.aparat.com/playlist/406966
YouTube
Lecture 1: Course Overview + The Shell (2020)
You can find the lecture notes and exercises for this lecture at https://missing.csail.mit.edu/2020/course-shell/
Help us caption & translate this video!
https://amara.org/v/C1Efe/
Help us caption & translate this video!
https://amara.org/v/C1Efe/
Enhanced Large Scale Colloquial Persian Language Understanding
https://iasbs.ac.ir/~ansari/lscp/index.html
LSCP is hierarchically organized in a semantic taxonomy that focuses on multi-task informal Persian language understanding as a comprehensive problem.
The proposed corpus consists of 120M Persian (Farsi) sentences resulted from 27M tweets annotated with parsing tree, part-of-speech tags, sentiment polarity and translations in English, German, Czech, Italian and Hindi spoken languages.
https://iasbs.ac.ir/~ansari/lscp/index.html
LSCP is hierarchically organized in a semantic taxonomy that focuses on multi-task informal Persian language understanding as a comprehensive problem.
The proposed corpus consists of 120M Persian (Farsi) sentences resulted from 27M tweets annotated with parsing tree, part-of-speech tags, sentiment polarity and translations in English, German, Czech, Italian and Hindi spoken languages.
iasbs.ac.ir
LSCP: Enhanced Large Scale Colloquial Persian Language Understanding
Complex Systems Studies
🎞 Missing Semester: computing ecosystem literacy https://www.youtube.com/watch?v=Z56Jmr9Z34Q&list=PLyzOVJj3bHQuloKGG59rS43e29ro7I57J As computer scientists, we know that computers are great at aiding in repetitive tasks. However, far too often, we forget…
این دوره جزو چیزایی هست که:
۱) هیچ‌جایی به آدم درس نمیدن
۲) همه حرفه‌ای‌ها بلدش هستن
۳) همه چون خودشون یاد گرفتن فکر نکردن که این چیزا بدیهی نیست
۴) بدون اینها شاید زندگیتون بگذره، ولی با دونستن این نکته‌های ریز، نگاهتون به کامپیوتر و توانایی‌هاتون خیلی ساده چند برابر میشه!
https://missing.csail.mit.edu/2020/course-shell/
ویدیوها:
https://www.aparat.com/playlist/406966
۱) هیچ‌جایی به آدم درس نمیدن
۲) همه حرفه‌ای‌ها بلدش هستن
۳) همه چون خودشون یاد گرفتن فکر نکردن که این چیزا بدیهی نیست
۴) بدون اینها شاید زندگیتون بگذره، ولی با دونستن این نکته‌های ریز، نگاهتون به کامپیوتر و توانایی‌هاتون خیلی ساده چند برابر میشه!
https://missing.csail.mit.edu/2020/course-shell/
ویدیوها:
https://www.aparat.com/playlist/406966
💰 Great #PhD opportunity in sunny #brisbane - @ProfMJSimpson with the School of #maths at @QUTSciEng is looking for 2 PhD students for his project in mathematical biology: Mathematical and statistical modelling of cell migration in 4D tumour spheroids. Info: https://t.co/sbvV6JFQCI
Waiting-Time Paradox in 1922
Naoki Masuda, University at Buffalo
Takayuki Hiraoka, Aalto University
Abstract
We present an English translation and discussion of an essay that a Japanese physicist, Torahiko Terada, wrote in 1922. In the essay, he described the waiting-time paradox, also called the bus paradox, which is a known mathematical phenomenon in queuing theory, stochastic processes, and modern temporal network analysis. He also observed and analyzed data on Tokyo City trams to verify the relevance of the waiting-time paradox to busy passengers in Tokyo at the time. This essay seems to be one of the earliest documentations of the waiting-time paradox in a sufficiently scientific manner.
Naoki Masuda, University at Buffalo
Takayuki Hiraoka, Aalto University
Abstract
We present an English translation and discussion of an essay that a Japanese physicist, Torahiko Terada, wrote in 1922. In the essay, he described the waiting-time paradox, also called the bus paradox, which is a known mathematical phenomenon in queuing theory, stochastic processes, and modern temporal network analysis. He also observed and analyzed data on Tokyo City trams to verify the relevance of the waiting-time paradox to busy passengers in Tokyo at the time. This essay seems to be one of the earliest documentations of the waiting-time paradox in a sufficiently scientific manner.
💡 Interested in a rather peculiar type of a phase transition in computational problems, an infinite-order one? Want to learn about a bunch of conjectures to prove rigorously? Here is a paper just for you https://t.co/SLPkEWxiCw
Recovery thresholds in the sparse planted matching problem
Guilhem Semerjian, Gabriele Sicuro, Lenka Zdeborová
We consider the statistical inference problem of recovering an unknown perfect matching, hidden in a weighted random graph, by exploiting the information arising from the use of two different distributions for the weights on the edges inside and outside the planted matching. A recent work has demonstrated the existence of a phase transition, in the large size limit, between a full and a partial recovery phase for a specific form of the weights distribution on fully connected graphs. We generalize and extend this result in two directions: we obtain a criterion for the location of the phase transition for generic weights distributions and possibly sparse graphs, exploiting a technical connection with branching random walk processes, as well as a quantitatively more precise description of the critical regime around the phase transition.
Recovery thresholds in the sparse planted matching problem
Guilhem Semerjian, Gabriele Sicuro, Lenka Zdeborová
We consider the statistical inference problem of recovering an unknown perfect matching, hidden in a weighted random graph, by exploiting the information arising from the use of two different distributions for the weights on the edges inside and outside the planted matching. A recent work has demonstrated the existence of a phase transition, in the large size limit, between a full and a partial recovery phase for a specific form of the weights distribution on fully connected graphs. We generalize and extend this result in two directions: we obtain a criterion for the location of the phase transition for generic weights distributions and possibly sparse graphs, exploiting a technical connection with branching random walk processes, as well as a quantitatively more precise description of the critical regime around the phase transition.
Artificial Intelligence
Instructor: Prof. Patrick Henry Winston
https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-034-artificial-intelligence-fall-2010/index.htm
Course Description
This course introduces students to the basic knowledge representation, problem solving, and learning methods of artificial intelligence. Upon completion of 6.034, students should be able to develop intelligent systems by assembling solutions to concrete computational problems; understand the role of knowledge representation, problem solving, and learning in intelligent-system engineering; and appreciate the role of problem solving, vision, and language in understanding human intelligence from a computational perspective.
Instructor: Prof. Patrick Henry Winston
https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-034-artificial-intelligence-fall-2010/index.htm
Course Description
This course introduces students to the basic knowledge representation, problem solving, and learning methods of artificial intelligence. Upon completion of 6.034, students should be able to develop intelligent systems by assembling solutions to concrete computational problems; understand the role of knowledge representation, problem solving, and learning in intelligent-system engineering; and appreciate the role of problem solving, vision, and language in understanding human intelligence from a computational perspective.
MIT OpenCourseWare
Artificial Intelligence | Electrical Engineering and Computer Science | MIT OpenCourseWare
This course introduces students to the basic knowledge representation, problem solving, and learning methods of artificial intelligence. Upon completion of 6.034, students should be able to develop intelligent systems by assembling solutions to concrete computational…
Network Science
Winter - Spring 2020.
Instructors: Prof. Leonid Zhukov, Ilya Makarov
https://www.leonidzhukov.net/hse/2020/networks/
Winter - Spring 2020.
Instructors: Prof. Leonid Zhukov, Ilya Makarov
https://www.leonidzhukov.net/hse/2020/networks/
Structural Analysis and Visualization of Networks.
Leonid Zhukov
20 Video lectures
https://www.youtube.com/playlist?list=PLriUvS7IljvkBLqU4nPOZtAkp7rgpxjg1
Leonid Zhukov
20 Video lectures
https://www.youtube.com/playlist?list=PLriUvS7IljvkBLqU4nPOZtAkp7rgpxjg1
YouTube
Structural Analysis and Visualization of Networks.
Social Network Analysis course at HSE (https://www.hse.ru) https://www.leonidzhukov.net/hse/2015/networks/ Part 1: 1. Introduction to network science 2. Power ...
💰 Postdoctoral position in mathematical modelling of #COVID__19 epidemics:
we are seeking a #postdoc to work in an international collaboration between Bern University Hospital and ICTP. 2 years position funded by SNF grant:
https://t.co/7xK8AQszys
we are seeking a #postdoc to work in an international collaboration between Bern University Hospital and ICTP. 2 years position funded by SNF grant:
https://t.co/7xK8AQszys
💡 Understanding deep learning is also a job for physicists
Lenka Zdeborová, Nature Physics (2020)
Automated learning from data by means of deep neural networks is finding use in an ever-increasing number of applications, yet key theoretical questions about how it works remain unanswered. A physics-based approach may help to bridge this gap.
https://www.nature.com/articles/s41567-020-0929-2
Lenka Zdeborová, Nature Physics (2020)
Automated learning from data by means of deep neural networks is finding use in an ever-increasing number of applications, yet key theoretical questions about how it works remain unanswered. A physics-based approach may help to bridge this gap.
https://www.nature.com/articles/s41567-020-0929-2
Nature
Understanding deep learning is also a job for physicists
Nature Physics - Automated learning from data by means of deep neural networks is finding use in an ever-increasing number of applications, yet key theoretical questions about how it works remain...
🥁 Undergraduate interested in biological physics? Come explore the Physics of Life in an ONLINE summer school! Free and open to all undergraduates. Mondays, June 15-August 3. More information and registration info here: https://t.co/FSQhNrfFGh
biophysics.princeton.edu
The Physics of Life Online Summer School 2020 | Center for the Physics of Biological Function | an NSF Physics Frontier Center
Welcome to the Physics of Life Summer School! We will be holding school online this year due to the COVID-19 pandemic. While we can not offer the same immersion experience as past summers, we hope to be able to introduce you to a range of exciting topics…
“What are you thinking?” “#Entropy” “Entropy?” “Yeah, entropy.
Boris explained it. It’s why you can’t get the toothpaste back in the tube.”
Whatever works by Woody Allen
Boris explained it. It’s why you can’t get the toothpaste back in the tube.”
Whatever works by Woody Allen
Forwarded from فیزیک و سیستمهای پیچیده اقتصادی اجتماعی
سخنرانی من تا یکساعت دیگر در همایش فیزیک و سامانه های اجتماعی
در صورت علاقه میتوانید برای شرکت به آدرس زیر مراجعه کرده و از یوزر و پسوررد زیر استفاده کنید
https://www.skyroom.online/ch/iut_farhangi/physics-ss
User: physics_ss
Password:pss1399
در صورت علاقه میتوانید برای شرکت به آدرس زیر مراجعه کرده و از یوزر و پسوررد زیر استفاده کنید
https://www.skyroom.online/ch/iut_farhangi/physics-ss
User: physics_ss
Password:pss1399