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
"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://twitter.com/worldscienceu"
From playlist Science Unplugged: Special Relativity
This lecture is on Introduction to Higher Mathematics (Proofs). For more see http://calculus123.com.
From playlist Proofs
A01 An introduction to a series on space medicine
A new series on space medicine.
From playlist Space Medicine
Introduction to Metric Spaces - Definition of a Metric. - The metric on R - The Euclidean Metric on R^n - A metric on the set of all bounded functions - The discrete metric
From playlist Topology
Dimensions (1 of 3: The Traditional Definition - Directions)
More resources available at www.misterwootube.com
From playlist Exploring Mathematics: Fractals
Metric space definition and examples. Welcome to the beautiful world of topology and analysis! In this video, I present the important concept of a metric space, and give 10 examples. The idea of a metric space is to generalize the concept of absolute values and distances to sets more gener
From playlist Topology
What is a metric space? An example
This is a basic introduction to the idea of a metric space. I introduce the idea of a metric and a metric space framed within the context of R^n. I show that a particular distance function satisfies the conditions of being a metric.
From playlist Mathematical analysis and applications
Foundations for Learning in the Age of Big Data II - Maria Florina Balcan
Topic: Foundations for Learning in the Age of Big Data Speaker: Maria Florina Balcan Affiliation: Carnegie Mellon University Date: May 24, 2022 Balcan-2022-05-24
From playlist Mathematics
Foundations for Learning in the Age of Big Data I - Maria Florina Balcan
2022 Program for Women and Mathematics: The Mathematics of Machine Learning Topic: Foundations for Learning in the Age of Big Data I Speaker: Maria Florina Balcan Affiliation: Carnegie Mellon University Date May 23, 2022 Balcan-2022-05-23
From playlist Mathematics
Fellow Short Talks: Professor Richard Samworth, Cambridge University
Bio Richard Samworth is Professor of Statistics in the Statistical Laboratory at the University of Cambridge and a Fellow of St John’s College. He received his PhD, also from the University of Cambridge, in 2004, and currently holds an EPSRC Early Career Fellowship. Research His main r
From playlist Short Talks
Porfirio Leandro Leon Alvarez: Virtually Abelian Dimension for 3-Manifold Groups
Porfirio Leandro Leon Alvarez, Instituto de Matematicas, UNAM Title: Virtually Abelian Dimension for 3-Manifold Groups Given a group $\Gamma$, we say a collection $\mc F$ of subgroups of $\Gamma$ is a family if it is non-empty, closed under conjugation and under taking subgroups. Fixing a
From playlist 39th Annual Geometric Topology Workshop (Online), June 6-8, 2022
Radioactive data: tracing through training (Paper Explained)
#ai #research #privacy Data is the modern gold. Neural classifiers can improve their performance by training on more data, but given a trained classifier, it's difficult to tell what data it was trained on. This is especially relevant if you have proprietary or personal data and you want
From playlist Papers Explained
Mark Grant (10/22/20): Bredon cohomology and LS-categorical invariants
Title: Bredon cohomology and LS-categorical invariants Abstract: Farber posed the problem of describing the topological complexity of aspherical spaces in terms of algebraic invariants of their fundamental groups. In Part One of this talk, I’ll discuss joint work with Farber, Lupton and O
From playlist Topological Complexity Seminar
This video explains the definition of a vector space and provides examples of vector spaces.
From playlist Vector Spaces
Felix Klein Lectures 2020: Quiver moduli and applications, Markus Reineke (Bochum), Lecture 1
Quiver moduli spaces are algebraic varieties encoding the continuous parameters of linear algebra type classification problems. In recent years their topological and geometric properties have been explored, and applications to, among others, Donaldson-Thomas and Gromov-Witten theory have
From playlist Felix Klein Lectures 2020: Quiver moduli and applications, Markus Reineke (Bochum)
Foundations for Learning in the Age of Big Data III - Maria Florina Balcan
2022 Program for Women and Mathematics: The Mathematics of Machine Learning Topic: Foundations for Learning in the Age of Big Data III Speaker: Maria Florina Balcan Affiliation: Carnegie Mellon University Date: May 26, 2022 In computer vision, generalization of neural representations is
From playlist Mathematics
Clara Löh (5/28/22): Lower multiplicity bounds via classifying spaces
We consider variations of the Lusternik--Schnirelmann category, based on open covers satisfying constraints on the level of the fundamental group. Such LS-category invariants can be analysed through equivariant methods. For example, classifying spaces for families of subgroups can be used
From playlist Topological Complexity Seminar
VOS: Learning What You Don't Know by Virtual Outlier Synthesis (Paper Explained)
#vos #outliers #deeplearning Sponsor: Assembly AI Check them out here: https://www.assemblyai.com/?utm_source=youtube&utm_medium=social&utm_campaign=yannic1 Outliers are data points that are highly unlikely to be seen in the training distribution, and therefore deep neural networks have t
From playlist Papers Explained
Ali Chamseddine - 2/4 Spectral Geometric Unification
Classification of finite spaces and basis for geometric unification.
From playlist Ali Chamseddine - Spectral Geometric Unification