Dear all,
Time flies and the Spring Season on the VSAONLINE comes to its end. We will end this season with a hybrid online and physical (25 participants of MIDNIGHTVSA workshop in Luleå, Sweden) event on THURSDAY, JUNE 15th at 20:00GMT. Similarly to the last webinar
of the winter session we will have an open mic session.
The topic for this event is HD/VSA as a scientific/engineering discipline
Please read the description below for the proposed agenda!
After more than three decades of active research on HD/VSA there are strong indicators of their unique place within the AI landscape. A whole generation of PhDs have graduated with HD/VSA at the heart of their projects. There are several high-profile academic
projects, which have been going over the past few years. We see an emergence of stable constellations of researchers all over the world focusing on different aspects of HD/VSA. In other words, HD/VSA is on its way to become a discipline of its own within the
AI landscape.
However, several challenges need to be addressed in order to make HD/VSA to be a discipline that is both accepted and recognized by other communities as well as being attractive for a new generation of researchers. These challenges, as we see, come along
several dimensions:
1. How to make HD/VSA attractive for academic and industrial employers?
a. What unique skills do researchers trained within HD/VSA posses?
b. How these skills are matched to the ones that are common within the todays mainstream AI?
2. How to make HD/VSA attractive for the newcomers - undergraduate students, graduate students, postdocs, and researchers from other disciplines?
a. Pre-requisite skills?
b. A clear career path including the guidelines on the publication track?
c. Why bother at all? – the selling point
3. How to make HD/VSA attractive to and understood by other disciplines, e.g., from the applications point of view?
4. What are these OTHER disciplines, which would benefit from or be beneficial to HD/VSA?
a. Neuroscience?
b. Deep learning?
c. Material science?
d. Electrical engineering?
e. Neuromorphic computing?
f. Cognitive science?
g. Computer science?
h. Robotics?
i. What else?
5. What kind of outreach activities (in addition to ongoing webinars, website, community workshops, tutorials on conferences for other communities) are needed? What are the relevant conferences to be present on?