The origin of chaos theory is usually told as story about Edward Lorenz, who started a scientific revolution on a desk-size computer in the 1960s. But that omits the contributions of two women coders who would have been listed as his co-authors today.
https://t.co/Hp5VaSh97n
https://t.co/Hp5VaSh97n
Scale-free networks revealed from finite-size scaling
“two hundred naturally occurring networks with distinct dynamical origins, and a large number of these follow the finite size scaling hypothesis without any self-tuning”
https://t.co/dbUtUDNbZ9
“two hundred naturally occurring networks with distinct dynamical origins, and a large number of these follow the finite size scaling hypothesis without any self-tuning”
https://t.co/dbUtUDNbZ9
We're sorry to announce the passing of Nobel Laureate and complexity giant Murray Gell-Mann, one of the 20th Century's greatest physicists – pioneer, SFI co-founder, prophet of the quark.
You inspired so many, Murray. You will be missed.
A tribute:
https://t.co/ExKgmgpfXD
Murray Gell-Mann 1929-2019. A prodigious intellect and an extraordinarily influential theoretical physicist. Strangeness, the renormalization group, V-A theory, SU(3) symmetry, quarks ... This and much more we owe to Murray. It's a sad day for the world of physics.
Among Murray's students: Ken Wilson, Sidney Coleman, and Jim Hartle and John Preskill
You inspired so many, Murray. You will be missed.
A tribute:
https://t.co/ExKgmgpfXD
Murray Gell-Mann 1929-2019. A prodigious intellect and an extraordinarily influential theoretical physicist. Strangeness, the renormalization group, V-A theory, SU(3) symmetry, quarks ... This and much more we owe to Murray. It's a sad day for the world of physics.
Among Murray's students: Ken Wilson, Sidney Coleman, and Jim Hartle and John Preskill
Murray Gell-Mann on entropy, complexity, and obscurantism.
https://t.co/jW0xIol3nD
https://t.co/jW0xIol3nD
Gell-Mann coined the term ‘quark’, and is one of the few elementary-particle physicists who rejected strong reductionism and defended methodological unity within physics.
#antireductionistphysics #weakemergence
#antireductionistphysics #weakemergence
Forwarded from Complex Networks (SBU)
✅ انجمن مالي ايران برگزار ميكند:
«آشنایی با سیستم های پیچیده و اقتصاد پیچیدگی»
🗣 سخنران: دکتر سید علی حسینی
سه شنبه ۷ خرداد، دانشكده مديريت دانشگاه تهران، ساعت ۱۶:۳۰
این دوره به صورت رایگان برگزار می گردد و میزبان عموم علاقه مندان به همراه ثبت نام قبلی در این دوره خواهیم بود
کمیته مالی رفتاری
@IFNBehavioral
@IFSA1
«آشنایی با سیستم های پیچیده و اقتصاد پیچیدگی»
🗣 سخنران: دکتر سید علی حسینی
سه شنبه ۷ خرداد، دانشكده مديريت دانشگاه تهران، ساعت ۱۶:۳۰
این دوره به صورت رایگان برگزار می گردد و میزبان عموم علاقه مندان به همراه ثبت نام قبلی در این دوره خواهیم بود
کمیته مالی رفتاری
@IFNBehavioral
@IFSA1
Forwarded from Complex Networks (SBU)
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Farsi Twitter Project at CCNSD
Dr. Kosar Karimipour
The Twitter team in CCNSD studies Farsi Twitter and its trending topics. Twitter data, in our team, is used as an indicator of the social, cultural and political concerns and interests of Twitter users. We, however, assume that the impact of Twitter, and other social media, does not stop online, and the processes is part of a much larger sphere of influence on Farsi speaking countries and diasporic communities. Currently, we are working on two different projects (1) human-bot interaction in the formation of collective identities in Farsi Twitter and (2) a typology of fake news based on their propagation.
🔗 ccnsd.ir/twitter #Twitter
—————————————
🕸 SBU Center for Complex Networks & Social Data Science
🕸 @CCNSD 🔗 ccnsd.ir
—————————————
Dr. Kosar Karimipour
The Twitter team in CCNSD studies Farsi Twitter and its trending topics. Twitter data, in our team, is used as an indicator of the social, cultural and political concerns and interests of Twitter users. We, however, assume that the impact of Twitter, and other social media, does not stop online, and the processes is part of a much larger sphere of influence on Farsi speaking countries and diasporic communities. Currently, we are working on two different projects (1) human-bot interaction in the formation of collective identities in Farsi Twitter and (2) a typology of fake news based on their propagation.
🔗 ccnsd.ir/twitter #Twitter
—————————————
🕸 SBU Center for Complex Networks & Social Data Science
🕸 @CCNSD 🔗 ccnsd.ir
—————————————
Complex Systems Studies
We're sorry to announce the passing of Nobel Laureate and complexity giant Murray Gell-Mann, one of the 20th Century's greatest physicists – pioneer, SFI co-founder, prophet of the quark. You inspired so many, Murray. You will be missed. A tribute: http…
www.santafe.edu
In memoriam: Murray Gell-Mann
<p>Murray Gell-Mann, a Nobel laureate who revealed symmetry and order in the world of subatomic particles and leveled his genius at complex mysteries of life and mind, died peacefully May 24, 2019. He was 89 years old.</p>
Interested in Information processing in biological or social systems? Quantum information? Brain-inspired computing? Open Call for students with interest in obtaining a Ph.D. on these topics. Submissions until 31/7. More detailed information available in: https://t.co/mguxJyqJ2h
CommunityDetection_and_Ranking_Larremore_2019.pdf
34.2 MB
📝Community Detection and Ranking
🗣Daniel Larremore
Assistant Professor
Dept. of Computer Science
& BioFrontiers Institute
🆔 @ComplexSys
🗣Daniel Larremore
Assistant Professor
Dept. of Computer Science
& BioFrontiers Institute
🆔 @ComplexSys
وبلاگ بسیار خوبیه که توسط حرفهایهای علوم کامپیوتر اداره میشه. مطالب خیلی خوبی داره.
https://www.offconvex.org
This blog is dedicated to the idea that optimization methods—whether created by humans or nature, whether convex or nonconvex—are exciting objects of study and, often lead to useful algorithms and insights into nature. This study can be seen as an extension of classical mathematical fields such as dynamical systems and differential equations among others, but with the important addition of the notion of computational efficiency.
https://www.offconvex.org
This blog is dedicated to the idea that optimization methods—whether created by humans or nature, whether convex or nonconvex—are exciting objects of study and, often lead to useful algorithms and insights into nature. This study can be seen as an extension of classical mathematical fields such as dynamical systems and differential equations among others, but with the important addition of the notion of computational efficiency.
Complex Systems Studies
وبلاگ بسیار خوبیه که توسط حرفهایهای علوم کامپیوتر اداره میشه. مطالب خیلی خوبی داره. https://www.offconvex.org This blog is dedicated to the idea that optimization methods—whether created by humans or nature, whether convex or nonconvex—are exciting objects…
آپارات - سرویس اشتراک ویدیو
Everything you wanted to know about machine learning but didn't know whom t
Members' SeminarTopic: Everything you wanted to know about machine learning but didn't know whom to askSpeaker: Sanjeev AroraAffiliation: Princeton University; Visiting Professor, School of MathematicsDate: November 27, 2017For more videos, please visit …
Complex Systems Studies
وبلاگ بسیار خوبیه که توسط حرفهایهای علوم کامپیوتر اداره میشه. مطالب خیلی خوبی داره. https://www.offconvex.org This blog is dedicated to the idea that optimization methods—whether created by humans or nature, whether convex or nonconvex—are exciting objects…
🔷 Nature, Dynamical Systems and Optimization
Nisheeth Vishnoi • 9 minute read
The language of dynamical systems is the preferred choice of scientists to model a wide variety of phenomena in nature. The reason is that, often, it is easy to locally observe or understand what happens to a system in one time-step. Could we then piece this local information together to make deductions about the global behavior of these dynamical systems? The hope is to understand some of nature’s algorithms and, in this quest, unveil new algorithmic techniques. In this first of a series of posts, we give a gentle introduction to dynamical systems and explain what it means to view them from the point of view of optimization.
🔗 https://www.offconvex.org/2015/12/21/dynamical-systems-1/
Nisheeth Vishnoi • 9 minute read
The language of dynamical systems is the preferred choice of scientists to model a wide variety of phenomena in nature. The reason is that, often, it is easy to locally observe or understand what happens to a system in one time-step. Could we then piece this local information together to make deductions about the global behavior of these dynamical systems? The hope is to understand some of nature’s algorithms and, in this quest, unveil new algorithmic techniques. In this first of a series of posts, we give a gentle introduction to dynamical systems and explain what it means to view them from the point of view of optimization.
🔗 https://www.offconvex.org/2015/12/21/dynamical-systems-1/
⭕️ ICML 2018 Tutorial
Toward theoretical understanding of deep learning
Videos and Slides:
http://unsupervised.cs.princeton.edu/deeplearningtutorial.html
Toward theoretical understanding of deep learning
Videos and Slides:
http://unsupervised.cs.princeton.edu/deeplearningtutorial.html
unsupervised.cs.princeton.edu
Toward Theoretical Understanding of Deep Learning: Slides and
Bibliography
Bibliography
Material to accompany ICMLR'18
tutorial.
tutorial.
Slides from the talk at the “Machine Learning in Network Science” (MLNS) satellite at #NetSci2019: https://t.co/o9DbizxT5B
https://www.codecademy.com/learn/learn-c-plus-plus
Syllabus
1. Hello World
2. Variables
3. Conditionals & Logic
4. Loops
5. Vectors
6. Functions
7. Classes and Objects
8. References and Pointers
Syllabus
1. Hello World
2. Variables
3. Conditionals & Logic
4. Loops
5. Vectors
6. Functions
7. Classes and Objects
8. References and Pointers