High School Summer Research Students at NYU Investigate Cloud and Edge Inference on Chameleon

Exploring Cloud and Edge Inference: High School Students' Journey Through Machine Learning Research with Chameleon at NYU

This blog post outlines the experience of high school students engaging in a summer research program at NYU, focusing on cloud and edge Machine Learning inference projects utilizing the Chameleon platform and associated Trovi artifacts. The authors detail their practical exploration into machine learning at the cloud and the edge, review results, and discuss the technical challenges encountered and the solutions developed.

Chameleon presents AutoLearn, IndySCC'23 success, and more at SC'23

Chameleon talks, papers, posters, and more - all to be found at SC'23

Attending SC’23? Check out the initiatives Chameleon is supporting at the event including workshops, papers written using Chameleon, and more! If you’re presenting something related to Chameleon at SC’23 and not on this list, send us an email – we will update this announcement with relevant information as we get it.

Chameleon at SC '23

We would like to congratulate Alicia Esquivel Morel and the team for the acceptance of their paper, AutoLearn: Learning in the Edge to Cloud Continuum, to the SC '23 conference as well as two summer REU students who had posters accepted to SC.

Teaching from Edge to Cloud at the University of Missouri

This month, we're featuring an interview with Professor Prasad Calyam, a distinguished educator and researcher at the University of Missouri-Columbia.

This month, we're featuring an interview with Professor Prasad Calyam, a distinguished educator and researcher at the University of Missouri-Columbia. In the interview, he shares insights on effectively utilizing innovative tools like testbeds for teaching, offering valuable recommendations based on his own experiences.