Ongoing and upcoming events:

Starting from August 29, 2022 there will be fall 2022 series of HDC/VSA webinars.

Please check the details at this link.

The recordings of the previous webinars are accesible from the webinars page.

Past events:

As a part of the IEEE World Congress on Computational Intelligence that took place in Padua, Italy on 18-23 July, 2022, there was a special session "Hyperdimensional Computing and Vector Symbolic Architectures in Neural Networks".

Please check the program at link.

There was (January 17, 2022 - June 20, 2022) winter 2022 series of HDC/VSA webinars.

Please check the details at this link.

The recordings of the previous webinars are accesible from the webinars page.

On March 21, 2022 there was an online half-day tutorial “Computing with High-dimensional Vectors for Energy-Efficient AI: Hyperdimensional Computing aka Vector Symbolic Architectures” at 2022 Design, Automation and Test in Europe Conference (DATE).

Please check for more details at this link.

There was (May 17, 2021 - December 13, 2021) summer 2021 series of HDC/VSA webinars.

Please check the details at this link.

The recordings of the previous webinars are accesible from the webinars page.

During fall 2021 semester, UC Berkeley held a seminar course on HDC/VSA entitled “Computing with High-Dimensional Vectors”.

The recordings of the lectures are accesible from the course page on this website.

Full course materials are available on the course webpage at this link.

There was (November 16, 2020 - March 29, 2021) winter 2021 series of HDC/VSA webinars. Please check the details at link.

The recordings of the previous webinars are accesible from webinars page.

There was an online tutorial on HDC/VSA at 24th European Conference on Artificial Intelligence (ECAI) 2020 (August, 29 - September, 5, 2020).

Please check the details at link.

There was (May 18 - July 27, 2020) summer 2020 series of HDC/VSA webinars. Please check the details at link.

The recordings of the previous webinars are accesible from webinars page.