Blog

Giving thanks: Samsung AI Researcher of the Year Award and Donation to Mila

Earlier this month (Nov 2020) at the Samsung AI Forum 2020 I was one of the five recipients of the inaugural Samsung AI Researcher of the Year Award by the Samsung Advanced Institute of Technology (SAIT). Samsung has been supporting my research ever since I was a postdoc at Mila in Montreal, and without their support I wouldn’t have been able to support all my PhD students (NSF, i’m looking at you!) Because of this prolonged support, I had been already grateful to Samsung even before this award, and I am even more thankful. It was also a humbling experience

A foreword written for the K-12 AI education material <콕!찝!AI> by Busan Metropolitan City Office of Education

[this post was originally posted here in March 2020 and has been ported here for easier access.] TL;DR: after all, isn’t $k$-NN all we do? in my course, i use $k$-NN as a bridge between a linear softmax classifier and a deep neural net via an adaptive radial basis function network. until this year, i’ve been considering the special case of $k=1$, i.e., 1-NN, only and from there on moved to the adaptive radial basis function network. i decided however to show them how $k$-NN with $k > 1$ could be implemented as a sequence of computational layers this year,