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GOG

Dmitri Nosovicki

My research interests are Artificial Intelligence, Human-Computer Interaction, Probabilistic Inference, Computational Linguistics, and Information Theory.

Current Projects

Research area: Finite Length Data Compression, Minimum Description Length Boundaries, and Machine Learning for Arithmetic Coding.

I try to answer simple questions about compression. For example, when it becomes practical to overcome entropy limits, and how nature does it. Also it is a quest to develop better compression algorithms.

GOG

GOG is an experimental programing language that explores a principle which I call Polynotational Semantics. GOG is a tool that allows to test certain programming language features from cognitive perspective.
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Linkedin | Academia.edu | Collabratec | ResearchGate