Information Theory Society
The IEEE Information Theory Society is the premier professional society dedicated to the advancement of the mathematical underpinnings of information technology for the benefit of humanity. Information theory encompasses the processing, transmission, storage, and use of information, and the foundations of the communication process.
Aspects of Our Society
Outreach
A gathering of videos, books and more that show how information theory impacts our lives.Meet IT Society Students
The Student and Outreach Subcommittee plans student and outreach activities at symposia and workshops.Read Our Newsletter
The IEEE Information Theory Society Newsletter connects our members and is published four times a year. Beginning with the March 2022 issue, the Newsletter is online only.Upcoming Events
Deadline Extension: IEEE-ITW'24
2024 IEEE Information Theory Workshop (ITW)
IEEE International Symposium on Information Theory (ISIT) 2025
News
Call for ISIT and ITW Proposals
IEEE Information Theory Society is calling for proposals for the International Symposium on…
Call for Nominations: Padovani Lecturer, Goldsmith Lecturer, and Distinguished Lecturers
The IEEE Information Theory Society solicits nominations for the 2025 Padovani Lecturer, the 2025…
Call for Nominations: Joy Thomas Tutorial Paper Award
The Society solicits nominations for the inaugural IEEE Joy Thomas Tutorial Paper Award. Deadline:…
Dr. Mario Diaz Torres: Obituary and Request for Help
We regret to share that the IT Society lost a rising information theorist and statistician Dr.…
Conferences
2024 The International Symposium on Information Theory and Its Applications (ISITA2024)
The 2024 International Symposium on Information Theory and Its Applications (ISITA) will be held…
Australasian Summer School: Recent Trends in Algorithms
Free 4-day Australasian Summer School on "Recent Trends in Algorithms" at the University…
IEEE Globecom 2024 Workshop on Channel Coding beyond 5G: Call for Papers
Workshop on Channel Coding beyond 5G (in conjunction with IEEE Globecom 2024) is now open for…
Jobs Board
Postdoctoral Research Associate in Microfluidics, Nanofabrication, and Nanophotonics
Presidential Postdoctoral Fellow at Rutgers (deadline Oct 18)
We’re looking for talented researchers to join our team through the Rutgers Postdoctoral Fellowship…
Postdoc Opportunity at Rutgers ECE
🚨 **Postdoc Opportunity at Rutgers ECE!** 🚨 Join Dr. Salim El Rouayheb’s group to work on **…
Call to Action
Recent Journal Issues
JSAIT is a multi-disciplinary journal of special issues.
The IEEE Transactions on Information Theory publishes papers concerned with the transmission, processing, and utilization of information.
Research In Information Theory
Shannon, Euler, and Mazes
One of Claude Shannon’s best remembered “toys” was his maze-solving machine, created by partitions on a rectangular grid. A mechanical mouse was started at one point in the maze with the task of finding cheese at another point. Relays under the board guided successive moves, each of which were taken in the first open counterclockwise direction from the previous move. In belated honor of Shannon’s centenary and of amnesia in the mouse at age 70, we compare this deterministic search strategy with ...
6G: The Personal Tactile Internet—And Open Questions for Information Theory
The initial vision of cellular communications was to deliver ubiquitous voice communications to anyone anywhere. In a simplified view, 1G delivered voice services for business customers, and only 2G for consumers. Next, this also initiated the appetite for cellular data, for which 3G was designed. However, Blackberry delivered business smartphones, and 4G made smartphones a consumer device. The promise of 5G is to start the Tactile Internet, to control real and virtual objects in real-time via c...
Function Load Balancing Over Networks
Using networks as a means of computing can reduce the communication flow over networks. We propose to distribute the computation load in stationary networks and formulate a flow-based delay minimization problem that jointly captures the costs of communications and computation. We exploit the distributed compression scheme of Slepian-Wolf that is applicable under any protocol information. We introduce the notion of entropic surjectivity as a measure of function’s sparsity and to understand the li...
Reed–Muller Codes: Theory and Algorithms
Reed-Muller (RM) codes are among the oldest, simplest and perhaps most ubiquitous family of codes. They are used in many areas of coding theory in both electrical engineering and computer science. Yet, many of their important properties are still under investigation. This paper covers some of the recent developments regarding the weight enumerator and the capacity-achieving properties of RM codes, as well as some of the algorithmic developments. In particular, the paper discusses the recent conn...
Deep Neural Network Approximation Theory
This paper develops fundamental limits of deep neural network learning by characterizing what is possible if no constraints are imposed on the learning algorithm and on the amount of training data. Concretely, we consider Kolmogorov-optimal approximation through deep neural networks with the guiding theme being a relation between the complexity of the function (class) to be approximated and the complexity of the approximating network in terms of connectivity and memory requirements for storing t...