Spatial analysis

Activity space

In social science, the activity space designates the "set of places individuals encounter as a result of their routine activities in everyday life." The activity space can include all relevant locations that an individual routinely go to, such as the place of residence, the workplace (or the place of study), but also gyms, supermarkets, or cinemas. (Wikipedia).

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What is space?

What exactly is space? Brian Greene explains what the "stuff" around us is. Subscribe to our YouTube Channel for all the latest from World Science U. Visit our Website: http://www.worldscienceu.com/ Like us on Facebook: https://www.facebook.com/worldscienceu Follow us on Twitter: https:

From playlist Science Unplugged: Physics

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What Is A Dyson Sphere?

A Dyson Sphere is a megastructure that could be built around a star to harness all the solar energy it gives off. In this video we talk about the different kinds of Dyson Spheres, Dyson Clouds and other megastructures that could be built - and how we might even detect them from Earth. ht

From playlist Guide to Space

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Ask the Space Lab Expert: What is Space?

Have you ever wanted to go to Space? In this first episode of Space Lab, Brad and Liam from "World of the Orange" take you on an adventure to discover exactly what is Space. You'll find out about the solar system, the big bang, Sci-Fi movies that are becoming reality, and more!

From playlist What is Space? YouTube Space Lab with Liam and Brad

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Covariant Phase Space with Boundaries - Daniel Harlow

More videos on http://video.ias.edu

From playlist Natural Sciences

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"World" in Space

The International Space Station continues an uninterrupted human presence in space as a test-bed for future exploration beyond low-Earth orbit and the only science lab in microgravity. This music video featuring the space station and its crews is set to the song "World" by recording artist

From playlist Real Space Stations - YouTube Space Lab with Liam & Brad

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What is a Vector Space?

This video explains the definition of a vector space and provides examples of vector spaces.

From playlist Vector Spaces

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The Human Body in Space

The Human Body in Space - What happens to your body in space? Start learning with Brilliant today for FREE: http://brilliant.org/aperture Follow me on Instagram: https://www.instagram.com/mcewen/ Space is the final frontier. But you know, it’s not like space has a lot going on. There is q

From playlist Science & Technology 🚀

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EARTH FROM SPACE: Like You've Never Seen Before

Showing cities all over the world from orbit from North America to India with a dramatic Beethoven soundtrack.

From playlist Space Videos

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Towards ambient intelligence in AI-assisted healthcare spaces - Dr Fei-Fei Li, Stanford University

Abstract: Artificial intelligence has begun to impact healthcare in areas including electronic health records, medical images, and genomics. But one aspect of healthcare that has been largely left behind thus far is the physical environments in which healthcare delivery takes place: hospit

From playlist Turing Seminars

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Higher Algebra 10: E_n-Algebras

In this video we introduce E_n-Algebras in arbitrary symmetric monoidal infinity-categories. These interpolate between associated algebras (= E_1) and commutative algebras (= E_infinity). We also establish some categorical properties and investigate the case of the symmetric monoidal infin

From playlist Higher Algebra

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Navigating the Manifolds of the Brain - Yasser Roudi

2015 Joshua Lederberg - John von Neumann Symposium "Towards Quantitative Biology" Yasser Roudi Norwegian University of Science and Technology, Trondheim Institute for Advanced Study December 2, 2015 https://www.sns.ias.edu/scsb/lederberg-vonneumann2015 More videos on http://video.ias.ed

From playlist Joshua Lederberg - John von Neumann Symposium

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Neural manifolds - The Geometry of Behaviour

This video is my take on 3B1B's Summer of Math Exposition (SoME) competition It explains in pretty intuitive terms how ideas from topology (or "rubber geometry") can be used in neuroscience, to help us understand the way information is embedded in high-dimensional representations inside

From playlist Summer of Math Exposition Youtube Videos

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RĂ©mi Monasson - Embedding of Low-Dimensional Attractor Manifolds by Neural Networks

Recurrent neural networks (RNN) have long been studied to explain how fixed-point attractors may emerge from noisy, high-dimensional dynamics. Recently, computational neuroscientists have devoted sustained efforts to understand how RNN could embed attractor manifolds of finite dimension, i

From playlist Mikefest: A conference in honor of Michael Douglas' 60th birthday

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Neuron-Glia Computation for Behavioral States and Navigation (Lecture 2) by Misha Ahrens

PROGRAM ICTP-ICTS WINTER SCHOOL ON QUANTITATIVE SYSTEMS BIOLOGY (ONLINE) ORGANIZERS: Vijaykumar Krishnamurthy (ICTS-TIFR, India), Venkatesh N. Murthy (Harvard University, USA), Sharad Ramanathan (Harvard University, USA), Sanjay Sane (NCBS-TIFR, India) and Vatsala Thirumalai (NCBS-TIFR,

From playlist ICTP-ICTS Winter School on Quantitative Systems Biology (ONLINE)

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Stanford Seminar- Capturing Human Behavior and Language for Interactive Systems

Speaker: Ethan Fast Computers are more integrated into our lives and society as time goes by yet they still don't understand many of the human actions that surround them. To make progress, we need systems that deeply understand people and capture human experience through humans' daily act

From playlist Stanford Seminars

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Approximation with deep networks - Remi Gribonval, Inria

This workshop - organised under the auspices of the Isaac Newton Institute on “Approximation, sampling and compression in data science” — brings together leading researchers in the general fields of mathematics, statistics, computer science and engineering. About the event The workshop ai

From playlist Mathematics of data: Structured representations for sensing, approximation and learning

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RĂ©mi Monasson: "Capacity-resolution trade-off in the optimal learning of multiple low-dimensiona..."

Machine Learning for Physics and the Physics of Learning 2019 Workshop IV: Using Physical Insights for Machine Learning "Capacity-resolution trade-off in the optimal learning of multiple low-dimensional manifolds by attractor neural networks" RĂ©mi Monasson - Centre National de la Recher

From playlist Machine Learning for Physics and the Physics of Learning 2019

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Astronomy Online: Visiting Volcanoes in Space

On Earth, volcanoes are emblems of our dynamic planet. But volcanoes aren’t unique to our world. Scientists have discovered hundreds of volcanoes throughout our solar system, including on Mercury, Mars, Io, Enceladus, and even on Pluto! Uncover the mysteries lying beneath the surfa

From playlist Space

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What is a Vector Space? (Abstract Algebra)

Vector spaces are one of the fundamental objects you study in abstract algebra. They are a significant generalization of the 2- and 3-dimensional vectors you study in science. In this lesson we talk about the definition of a vector space and give a few surprising examples. Be sure to su

From playlist Abstract Algebra

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Spatial analysis