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Information in Small Bits is a book produced as part of a non-profit outreach project of the IEEE Information Theory Society.
OutreachInformation in Small Bits
Information in Small Bits is a book produced as part of a non-profit outreach project of the IEEE Information Theory Society.
OutreachInformation in Small Bits
Reinhard Heckel's short lecture at the 2020 European School of Information Theory Stuttgart, Germany
Deep Learning
Trailer for a new film by Mark Levinson (Particle Fever) about Claude Shannon, the "Father of Information Theory," whose ideas influence such diverse…
Outreach
Jakob Hoydis' (supported by Sebastian Cammerer, Sebastian Dörner and Tim Uhlemann) full lecture at the 2020 European School of Information Theory…
Deep LearningMachine Learning
IEEE ITW 2021, Virtually from Kanazawa, Japan
Plenary Lecture
Machine LearningSignal ProcessingDeep Learning
IEEE ITW 2020, Riva del Garda, Italy
Tutorial
Deep LearningDistributed LearningTutorial
Meet the Shannon Lecturer -- An Interview to Alon Orlitsky.
By Student and Outreach Subcommittee
OutreachShannon AwardInterview
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong
Lecture
Information theoryCoding TheoryFinite blocklength
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong
Lecture
Information theoryCoding TheoryFinite blocklength
Information in Small Bits is a book produced as part of a non-profit outreach project of the IEEE Information Theory Society. In Chapter 3, Alice and…
Information in Small BitsOutreach
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong
Lecture
Information theoryCoding TheoryFinite blocklength
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong
Lecture
Machine LearningInformation theoryFairness
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong
Lecture
Machine LearningInformation theoryFairness
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong
Lecture
Machine LearningInformation theoryFairness