In the mathematical area of topology, a train track is a family of curves embedded on a surface, meeting the following conditions: 1. * The curves meet at a finite set of vertices called switches. 2. * Away from the switches, the curves are smooth and do not touch each other. 3. * At each switch, three curves meet with the same tangent line, with two curves entering from one direction and one from the other. The main application of train tracks in mathematics is to study laminations of surfaces, that is, partitions of closed subsets of surfaces into unions of smooth curves. Train tracks have also been used in graph drawing. (Wikipedia).
Fastest Train 574 km/h - watch the top left speed
Video of a train speed test in France
From playlist Trains
This is hard to believe, but it is true. They have it down to a science.
From playlist Crazy Stuff
Railroad Maintenance (Part 12/14) Inserting the baseplate
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From playlist Railroad Track Maintanance
Indian Railways Best Advertisement
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From playlist We are like this only
Jon McLoone, director of technical communications and strategy at Wolfram Research Europe, discusses new developments based on the Wolfram Language, including Wolfram Programming Cloud, Mathematica Online, and the release of Mathematica 10. For more training resources, please visit: http:
From playlist Wolfram Virtual Conference 2014
Artificial Intelligence: How It Works and What It Means for the Future - Yisong Yue - 1/13/2021
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From playlist Caltech Watson Lecture Series
Uncertainty - Lecture 2 - CS50's Introduction to Artificial Intelligence with Python 2020
00:00:00 - Introduction 00:00:15 - Uncertainty 00:04:52 - Probability 00:09:37 - Conditional Probability 00:17:19 - Random Variables 00:26:28 - Bayes' Rule 00:34:01 - Joint Probability 00:40:13 - Probability Rules 00:49:42 - Bayesian Networks 01:21:00 - Sampling 01:32:58 - Markov Models 01
From playlist CS50's Introduction to Artificial Intelligence with Python 2020
The First and Last Digits of Pi - Numberphile Podcast
Data visualisation guru Martin Krzywinski has teamed up with composer Gregory Coles to make music based on Pi - the early digits AND the last known digits. Three One Four: A Number of Notes - http://mkweb.bcgsc.ca/pi/piday2022/ The project is a collaboration between Martin, Gregory Cole
From playlist The Numberphile Podcast
David Held: "Self-supervised learning for autonomous driving"
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From playlist Mathematical Challenges and Opportunities for Autonomous Vehicles 2020
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Dieses Video nimmt am Wettbewerb Fast Forward Science 2022/23 teil: https://www.fastforwardscience.de #FFSci #ScientistAward Ganz neue und besonders spannende Forschungsfragen für die Informatik entstehen an der Schnittstelle zu anderen Wissenschaften – davon ist Prof. Dr. Benjamin Riss
From playlist Für Studieninteressierte
DDPS | Model reduction of partial differential equations via optimization-based feature tracking
In this DDPS talk from June 24, 2021, University of Notre Dame assistant professor Matthew Zahr introduces an optimization-based model reduction framework to solve conservation laws with parametrized, discontinuous solution features such as shock waves. The proposed reduction framework s
From playlist Data-driven Physical Simulations (DDPS) Seminar Series
Towards a multi-satellite radiance assimilation in regional models - Chakravarthy Balaji
PROGRAM: Data Assimilation Research Program Venue: Centre for Applicable Mathematics-TIFR and Indian Institute of Science Dates: 04 - 23 July, 2011 DESCRIPTION: Data assimilation (DA) is a powerful and versatile method for combining observational data of a system with its dynamical mod
From playlist Data Assimilation Research Program
Self Driving Cars [S1E2: ALVINN]
PATREON: https://www.patreon.com/welchlabs TWITTER: @welchlabs MORE: http://www.welchlabs.com CODE: https://github.com/stephencwelch/self_driving_cars Welch Labs on backpropogation https://www.youtube.com/watch?v=GlcnxUlrtek Great 3B1B Video on backpropogation https://www.youtube.com/wat
From playlist Self Driving Cars Season One
Geoffrey Grimmett (University of Cambridge, UK) by Geoffrey Grimmett
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From playlist First-Passage Percolation and Related Models 2022 Edited
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From playlist The Science Of Trains