Ongoing and upcoming events:
Starting from January 29, 2024 there will be spring 2024 series of HD/VSA webinars.
Please check the details at this link.
The recordings of the previous webinars are accesible from the webinars page.
On March 27, 2024 there will be an in-person half-day workshop “Unlocking Tomorrow's Technology: Hyperdimensional Computing and Vector Symbolic Architectures for Automation and Design in Technology and Systems” at 2024 Design, Automation and Test in Europe Conference (DATE), Valencia, Spain.
Please check for more details at this link.
There is a special issue "Brain-Inspired Hyperdimensional Computing: Theoretical Perspectives and Real-World Applications" at "Big Data and Cognitive Computing" journal with the manuscript submission deadline on 31 October, 2024.
Please check the details at this link.
As a part of the IEEE World Congress on Computational Intelligence (WCCI) that will take place in Yokohama, Japan on June 30 - July 5, 2024, there will be a special session "Advancements in Hyperdimensional Computing and Vector Symbolic Architectures for Neural Networks and Artificial Intelligence" (hosted by International Joint Conference on Neural Networks). The deadline for full paper submission is January 15, 2024.
Please check all the special sessions of IEEE WCCI 2024 at this link.
Past events:
There was (September 11, 2023 - December 11, 2023) fall 2023 series of HD/VSA webinars.
Please check the details at this link.
The recordings of the previous webinars are accesible from the webinars page.
On June 15-16, 2023 there was an in-person two-day workshop “The Midnight Sun Workshop on Vector Symbolic Architectures ” in Lulea, Sweden.
Please check workshop's website for more details at this link.
On April 19, 2023 there was an in-person half-day workshop “Hyperdimensional Computing and Vector Symbolic Architectures for Automation and Design in Technology and Systems” at 2023 Design, Automation and Test in Europe Conference (DATE), Antwerp, Belgium.
Please check for more details at this link.
There was (January 23, 2023 - June 15, 2023) spring 2023 series of HD/VSA webinars.
Please check the details at this link.
The recordings of the previous webinars are accesible from the webinars page.
As a part of the Embedded Systems Week (ESWEEK) that was a virtual event on 7-14 October, 2022 there was a special session "Brain-Inspired Hyperdimensional Computing for Ultra-Efficient Edge AI". The recording of the session is available from the video page.
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 (August 29, 2022 - December 19, 2022) fall 2022 series of HD/VSA webinars.
Please check the details at this link.
The recordings of the previous webinars are accesible from the webinars page.
There was (January 17, 2022 - June 20, 2022) spring 2022 series of HD/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) spring-fall 2021 series of HD/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 HD/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 an online tutorial on HD/VSA at 24th European Conference on Artificial Intelligence (ECAI) 2020 (August, 29 - September, 5, 2020).
Please check the details at link.