Uncertainty Principle - Klim Efremenko
Klim Efremenko Tel-Aviv University; Member, School of Mathematics April 23, 2013 Informally, uncertainty principle says that function and its Fourier transform can not be both concentrated. Uncertainty principle has a lot of applications in areas like compressed sensing, error correcting c
From playlist Mathematics
Review of Linear Time Invariant Systems
http://AllSignalProcessing.com for more great signal-processing content: ad-free videos, concept/screenshot files, quizzes, MATLAB and data files. Review: systems, linear systems, time invariant systems, impulse response and convolution, linear constant-coefficient difference equations
From playlist Introduction and Background
Quantization and Heisenberg's Uncertainty Principle
Quantization and Heisenberg's Uncertainty Principle
From playlist 1 hour Special Talks
Is there an intuitive way to think about Heisenberg's Uncertainty Principle?
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From playlist Science Unplugged: Quantum Mechanics
Sending a Problem to the D-Wave Quantum Computer
Animation showing the process when a user submits a problem to the D-Wave quantum computer. Video made by: Dominic Walliman https://twitter.com/DominicWalliman Learn more about D-Wave and the first commercial quantum computers at https://www.dwavesys.com/
From playlist Videos I made for D-Wave Systems
Uncertainty Representation & Propagation
To learn more about Wolfram Technology Conference, please visit: https://www.wolfram.com/events/technology-conference/ Speaker: Jose Martin Garcia Wolfram developers and colleagues discussed the latest in innovative technologies for cloud computing, interactive deployment, mobile devices
From playlist Wolfram Technology Conference 2017
GP Emulators applied to UQ workflows in practice: Eric Daub, Turing
Uncertainty quantification (UQ) employs theoretical, numerical and computational tools to characterise uncertainty. It is increasingly becoming a relevant tool to gain a better understanding of physical systems and to make better decisions under uncertainty. Realistic physical systems are
From playlist Effective and efficient gaussian processes
Live CEOing Ep 184: Language Design in Wolfram Language
Watch Stephen Wolfram and teams of developers in a live, working, language design meeting. This episode is about Language Design in the Wolfram Language.
From playlist Behind the Scenes in Real-Life Software Design
Live CEOing Ep 182: Language Design in Wolfram Language
Watch Stephen Wolfram and teams of developers in a live, working, language design meeting. This episode is about Language Design in the Wolfram Language.
From playlist Behind the Scenes in Real-Life Software Design
DDPS | Learning hierarchies of reduced-dimension and context-aware models for Monte Carlo sampling
In this DDPS Seminar Series talk from Sept. 2, 2021, University of Texas at Austin postdoctoral fellow Ionut-Gabriel Farcas discusses hierarchies of reduced-dimension and context-aware low-fidelity models for multi-fidelity Monte Carlo sampling. Description: In traditional model reduction
From playlist Data-driven Physical Simulations (DDPS) Seminar Series
Fuzzy Logic Controller Tuning | Fuzzy Logic, Part 4
Cover the basics of data-driven approaches to fuzzy logic controller tuning and fuzzy inference systems. See how to tune fuzzy inference parameters to find optimal solutions. Learn how optimization algorithms, like genetic algorithms and pattern search, can efficiently tune the parameters
From playlist Fuzzy Logic
The Agile Way with PMI-ACP | Webinar -1 | Edureka
Watch Sample Class Recording: http://www.edureka.co/pmi-acp?utm_source=youtube&utm_medium=webinar&utm_campaign=pmi-18-6-16 PMI-ACP® or 'Project Management Institute - Agile Certified Practitioner' is a certification awarded to validate your knowledge on Agile principles, practices, tools
From playlist Webinars by Edureka!
Live CEOing Ep 86: Language Design in Wolfram Language
Watch Stephen Wolfram and teams of developers in a live, working, language design meeting. This episode is about Language Design in the Wolfram Language.
From playlist Behind the Scenes in Real-Life Software Design
Fuzzy control of inverted pendulum
Fuzzy control of inverted pendulum, State-feedback controller is designed based on T-S fuzzy model with the consideration of system stability and performance.
From playlist Demonstrations
Live CEOing Ep 134: Unsupervised Machine Learning in Wolfram Language
Watch Stephen Wolfram and teams of developers in a live, working, language design meeting. This episode is about Unsupervised Machine Learning in the Wolfram Language.
From playlist Behind the Scenes in Real-Life Software Design
Statistical Rethinking - Lecture 20
Lecture 20 - Measurement error, missing data imputation, false-positive science - Statistical Rethinking: A Bayesian Course with R Examples
From playlist Statistical Rethinking Winter 2015
DDPS | Uncertainty quantification and deep learning for water-hazard prediction by Ajay Harish
Description: As a typhoon makes landfall, it can result in high waves, high winds and a region of low pressure. The difference in the observed and regular sea level can be attributed to this advancing typhoon and is known as storm surge. Such surge when combined with the waves can lead to
From playlist Data-driven Physical Simulations (DDPS) Seminar Series
Live CEOing Ep 123: Language Design in Wolfram Language
Watch Stephen Wolfram and teams of developers in a live, working, language design meeting. This episode is about Language Design in the Wolfram Language.
From playlist Behind the Scenes in Real-Life Software Design
Waves and Particles C2 The Heisenberg Uncertainty Principle
The Heisenberg uncertainty principle.
From playlist Physics - Wave Particle Duality