Lecture 1: Introduction MIT 6.824: Distributed Systems (Spring 2020) https://pdos.csail.mit.edu/6.824/
From playlist MIT 6.824 Distributed Systems (Spring 2020)
Topological and combinatorial methods in Theoretical Distributed Computing - Feichtner Kozlov
Dmitry Feichtner-Kozlov Institute for Algebra, Geometry, Topology, and their Applications, University of Bremen November 7, 2015 https://www.math.ias.edu/seminars/abstract?event=82534 In the first half of the talk I will give a very compressed introduction into parts of Theoretical Distri
From playlist Mathematics
SketchySVD - Joel Tropp, California Institute of Technology
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
Dmitry Feichtner-Kozlov: Topology of complexes arising in models for Distributed Computing #1
The lecture was held within the framework of the Hausdorff Trimester Program : Applied and Computational Algebraic Topology We shall talk about various simplicial models for distributed computing. The main model consists of iterated chromatic subdivisions and corresponds to the well-used
From playlist HIM Lectures: Special Program "Applied and Computational Algebraic Topology"
The mother of all representer theorems for inverse problems & machine learning - Michael Unser
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
PUBLIC OPENING featuring Cédric Villani: The Many Facets of Entropy [2014]
Video taken from: http://www.fields.utoronto.ca/programs/scientific/fieldsmedalsym/14-15/
From playlist Mathematics
Distributed Systems: Computation With a Million Friends
April 30, 2008 lecture by Adam L. Beberg for the Stanford University Computer Systems Colloquium (EE380). Distributed systems provide powerful capabilities to those willing to embrace the uncertainty involved. This talk explores the current methods for constructing these systems, the 35
From playlist Lecture Collection | Computer Systems Laboratory Colloquium (2007-2008)
Bernard Lo, Greenwall Foundation - Stanford Big Data 2015
Bringing together thought leaders in large-scale data analysis and technology to transform the way we diagnose, treat and prevent disease. Visit our website at http://bigdata.stanford.edu/.
From playlist Big Data in Biomedicine Conference 2015
Distributed System Design for Data Engineering | Future of Data & AI | Data Science Dojo
This talk will provide an overview of distributed system design principles and their applications in data engineering. We will discuss the challenges and considerations that come with building and maintaining large-scale data systems and how to overcome these challenges by using distribute
From playlist Future of Data and AI: Tutorials
A Trip Down Memory Lane - Michelle Effros - 6/7/2019
Changing Directions & Changing the World: Celebrating the Carver Mead New Adventures Fund. June 7, 2019 in Beckman Institute Auditorium at Caltech. The symposium features technical talks from Carver Mead New Adventures Fund recipients, alumni, and Carver Mead himself! Since 2014, this Fun
From playlist Carver Mead New Adventures Fund Symposium
Bridging AI Research and Education Practice to Drive Changes in the Ecosystem of Innovation
From the November 13th 2017 Symposium “Innovation Ecosystems for AI-Based Education, Training and Learning” Bruce McCandliss, Professor, Stanford Graduate School of Education and (by courtesy) Psychology at Stanford University addresses these points... 1. Setting the stage of the eco-syst
From playlist Innovation Ecosystems for AI-Based Education, Training and Learning Symposium
Dmitry Feichtner-Kozlov: Topology of complexes arising in models for Distributed Computing #2
The lecture was held within the framework of the Hausdorff Trimester Program : Applied and Computational Algebraic Topology We shall talk about various simplicial models for distributed computing. The main model consists of iterated chromatic subdivisions and corresponds to the well-used
From playlist HIM Lectures: Special Program "Applied and Computational Algebraic Topology"
From playlist Contributed talks One World Symposium 2020
History of MAS research in UK - Michael Wooldridge, University of Oxford
The AI Programme at the Turing will host an interactive UK Symposium on Multi-Agent Systems (UK-MAS). The goal of the symposium is to bring together UK-based research labs at universities and industry who have a significant focus on MAS research, to explore the MAS research landscape in th
From playlist UK multi-agent systems symposium
Optimal transport for machine learning - Gabriel Peyre, Ecole Normale Superieure
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
Deep Learning and the “Blessing” of Dimensionality - Babak Hassibi - 6/7/2019
Changing Directions & Changing the World: Celebrating the Carver Mead New Adventures Fund. June 7, 2019 in Beckman Institute Auditorium at Caltech. The symposium features technical talks from Carver Mead New Adventures Fund recipients, alumni, and Carver Mead himself! Since 2014, this Fu
From playlist Carver Mead New Adventures Fund Symposium
Ramiro Lafuente: Non-compact Einstein manifolds with symmetry
Abstract: In this talk we will discuss recent joint work in collaboration with Christoph Böhm in which we obtain structure results for non-compact Einstein manifolds admitting a cocompact isometric action of a connected Lie group. As an application, we prove the Alekseevskii conjecture (19
From playlist MATRIX-SMRI Symposium: Singularities in Geometric Flows
Thinking in Events: From Databases to Distributed Collaboration Software
In this keynote I give a subjective but systematic overview of the landscape of distributed event-based systems, with an emphasis on two areas I have worked on over the last decade: large-scale stream processing with Apache Kafka and associated tools, and real-time collaboration software i
From playlist Software Development
Fins, limbs, and the origin of morphological novelty
Dr. Thomas Stewart, University of Chicago 2020 Stanford.Berkeley.UCSF Next Generation Faculty Symposium
From playlist 2020 Stanford.Berkeley.UCSF Next Generation Faculty Symposium