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How internet communication works: Network Coding
Information Theory Society presents a brief history of internet communication and packet switched networks leading to the idea of network coding.…
Network Coding
Active Methods: Learning as you go and as fast as you can - Part 3
Plenary Talk 2022 North American School of Information Theory UCLA, Los Angeles, August 16-19, 2022.
Machine Learning
Channel capacity (baud rate)
Information bottlenecks in emerging distributed systems - Part 2
Plenary Talk 2022 North American School of Information Theory UCLA, Los Angeles, August 16-19, 2022.
Machines learning
Distributed Learning
Distributed Systems
Quantum Information Theory
David Sutter's full lecture at the 2020 European School of Information Theory Stuttgart, Germany
Quantum Information Theory
Deep Learning Applications in Communications
Jakob Hoydis' (supported by Sebastian Cammerer, Sebastian Dörner and Tim Uhlemann) full lecture at the 2020 European School of Information Theory…
Deep Learning
Machine Learning
What is a Markov chain?
What motivated the concept of Markov chains & Markov models? Featuring Plato's theory of forms, Jacob Bernoulli's weak law of large numbers and…
The Beauty of Lempel-Ziv Compression
Information Theory Society presents how the Lempel-Ziv lossless compression algorithm works. It was published in 1978 and improved by Welch in 1984…
Source Coding
Coding Theory
Morse Code
Morse Code Simulator: https://www.khanacademy.org/math/appl...
What is a bit?
How can we quantify/measure an information source? We introduce the ideas of Nyquist & Hartley using a simple game involving yes/no questions. It…
Claude Shannon: A Mathematical Theory of Communication
Claude Shannon demonstrated how to generate "english looking" text using Markov chains and how this gives a satisfactory representation of the…
Efficient Decoding of Polar Codes - Algorithms and Implementations
Alexios Balatsoukas-Stimming's full lecture at the 2020 European School of Information Theory Stuttgart, Germany
Polar Codes
Making Blockchains Scalable and Efficient - the Power of Codes
Swanand Kadhe's full lecture at the 2020 European School of Information Theory Stuttgart, Germany
Blockchain
Coding Theory
Spatially Coupled LDPC Codes - Theory and Applications
Laurent Schmalen's short lecture at the 2020 European School of Information Theory Stuttgart, Germany
LDPC Codes
How space-time codes work (MIMO)
Coding Theory
Hamming and low density parity check codes
Information Theory Society presents the key concepts needed to understand low-density parity-check codes (LDPC codes). It's a blend of repetition…
LDPC Codes
Coding Theory
Secret Sharing Explained Visually
The IEEE Information Theory Society presents an overview of Adi Shamir's 1979 paper on secret sharing. This is part of our series on the greatest…
Secrecy
How Recommender Systems Work
The key insights behind content and collaborative filtering (Matrix Factorization). How Amazon, Netflix, Facebook and others predict what you will…
Recommender Systems
Applications
Private Information Retrieval
Sennur Ulukus's full lecture at the 2020 European School of Information Theory Stuttgart, Germany
Private Information Retrieval
Deep Learning for Inverse Problems
Reinhard Heckel's short lecture at the 2020 European School of Information Theory Stuttgart, Germany
Deep Learning
Communication-Efficient and Privacy-Preserving Distributed Learning
Ayfer Özgür's full lecture at the 2020 European School of Information Theory Stuttgart, Germany
Distributed Learning
Polar Codes: Origins to 5G and Beyond - Part 1
Channel Coding
Coding Theory
Polar Codes
Information Theoretic Foundations for Data Science - Part 2
Plenary Talk 2022 North American School of Information Theory UCLA, Los Angeles, August 16-19, 2022.
Machine Learning
Information bottlenecks in emerging distributed systems - Part 1
Plenary Talk 2022 North American School of Information Theory UCLA, Los Angeles, August 16-19, 2022.
Machines learning
Distributed Learning
Distributed Systems
An Information Theoretic Perspective on Database and Graph Matching - Part 1
Plenary Talk 2022 North American School of Information Theory UCLA, Los Angeles, August 16-19, 2022.
Database Graph Matching
Community-Aware Group Testing
Plenary Talk 2022 North American School of Information Theory UCLA, Los Angeles, August 16-19, 2022.
Group Testing
Active Methods: Learning as you go and as fast as you can - Part 1
Plenary Talk 2022 North American School of Information Theory UCLA, Los Angeles, August 16-19, 2022.
Machine Learning
Active Methods: Learning as you go and as fast as you can - Part 2
Plenary Talk 2022 North American School of Information Theory UCLA, Los Angeles, August 16-19, 2022.
Machine Learning
Polar Codes: Origins to 5G and Beyond - Part 2
Channel Coding
Coding Theory
Polar Codes
Information Theoretic Foundations for Data Science - Part 1
Plenary Talk 2022 North American School of Information Theory UCLA, Los Angeles, August 16-19, 2022.
Machine Learning
An Information Theoretic Perspective on Database and Graph Matching - Part 2
Plenary Talk 2022 North American School of Information Theory UCLA, Los Angeles, August 16-19, 2022.
Database Graph Matching
