Virginia Tech and Amazon gathered at Machine Learning Day at the Virginia Tech Research Center — Arlington on April 25 to celebrate the joint Amazon-Virginia technology initiative for efficient and robust machine learning, and strengthened.
The initiative, announced last year, is funded by Amazon, housed in the School of Engineering, and overseen by researchers from the Sangani Center for Artificial Intelligence and Data Analytics, located on the Virginia Tech campus in Blacksburg and the Innovation Campus in Alexandria. . Faculty-led development and implementation of innovative approaches to robust machine learning, including ensuring that algorithms and models are resistant to errors and adversaries. This allows us to address industry-focused issues around the world.
Sponsored by the College of Engineering and the Sangani Center, the invitation-only event opened with welcome remarks from Julie Ross, Paul Torgerson, and Dorothea Torgerson, Deans of Engineering at Virginia Tech. His Director, Lance Collins, Vice President of Innovation His Campus and Executive Director at Virginia Tech. Reza Ghanadan, senior lead scientist for Amazon Alexa and his liaison with the new Amazon Center for the Amazon-Virginia Tech initiative.
President of Tim Sands University. Charlie Prager, Vice President of Advancements. Cal Ribbens, Dean and Professor of Computer Science. From Virginia Tech, Naren Ramakrishnan, Professor of Engineering Thomas L. Phillips, who is the director of the Amazon-Virginia Tech initiative, also joined.
“As we enter our second year of partnership with Amazon, we hope to expand our initiative into new research areas such as deploying robust large-scale language models, combining large-scale language models with inference capabilities, and multimodal interfaces. said Ramakrishnan. “We are pleased to see enthusiasm for this initiative growing rapidly across campus. The number of students faculty recommend for his Amazon Fellowships has doubled, and research project submissions have increased as well.” .”
