Page 2: Research news on Information & communication theory

Information and communication theory, as a research area, investigates the fundamental limits and principles governing the representation, transmission, processing, and storage of information in communication systems. It encompasses topics such as source and channel coding, rate–distortion theory, channel capacity, error-correcting codes, network information theory, and multi-user communication. The field develops mathematical models and performance bounds for noisy and noiseless channels, explores trade-offs among reliability, efficiency, latency, and complexity, and informs the design of practical communication protocols and coding schemes in digital communications, data networks, and distributed information-processing systems.

Liquid droplets trained to play tic-tac-toe

Artificial intelligence and high-performance computing are driving up the demand for massive sources of energy. But neuromorphic computing, which aims to mimic the structure and function of the human brain, could present ...

The quantum physics of forgetting information

In a study by TU Wien and FU Berlin, researchers have measured what happens when quantum physical information is lost. This clarifies important connections between thermodynamics, information theory and quantum physics.

Is our universe the ultimate computer?

Whether we are simply characters in an advanced virtual world is a much-debated theory, challenging previous thinking about the universe and our existence.

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