DATE Save the Date 17 to 19 April 2023

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M02 Tutorial: Computing with High-dimensional Vectors for Energy-Efficient AI: Hyperdimensional Computing aka Vector Symbolic Architectures

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Organiser
Abbas Rahimi, IBM Research Zurich, Switzerland
Organiser
Denis Kleyko, University of California, Berkeley, US and Research Institutes of Sweden, Kista, Sweden
Organiser
Evgeny Osipov, Luleå University of Technology, Sweden
Organiser
Jan M. Rabaey, University of California, Berkeley, United States

M02.1 Part 1: Introduction to Computing with High-dimensional Vectors: Concepts, Models, Primitives for Data Structures, and Locality-Preserving Encoding

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Presenter
Denis Kleyko, University of California, Berkeley, US and Research Institutes of Sweden, Kista, Sweden

M02.2 Part 2: Computing with High-dimensional Vectors in Machine Learning

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Presenter
Evgeny Osipov, Luleå University of Technology, Sweden

M02.3 Part 3: Computing with High-dimensional Vectors: From Efficient Classifiers to Efficient General AI

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Presenter
Abbas Rahimi, IBM Research Zurich, Switzerland

M02.4 Part 4: Hardware for Computing with High-dimensional Vectors: State-of-the-Art, Challenges, and Perspectives

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Presenter
Jan M. Rabaey, University of California, Berkeley, United States

M02.5 Part 5: Panel discussion

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Panellist
Abbas Rahimi, IBM Research Zurich, Switzerland
Panellist
Denis Kleyko, University of California, Berkeley, US and Research Institutes of Sweden, Kista, Sweden
Panellist
Evgeny Osipov, Luleå University of Technology, Sweden
Panellist
Jan M. Rabaey, University of California, Berkeley, United States