Amazon Fellows are Ph.D. students (from left) Qing Guo and Yi Zeng. Photos courtesy of the fellows.

The Amazon–Virginia Tech Initiative for Efficient and Robust Machine Learning has announced support for two Amazon Fellows and four innovative research projects led by Virginia Tech faculty that further the initiative’s mission of advancing new directions in machine learning.

Funded by Amazon, housed in the College of Engineering, and directed by researchers at the Sanghani Center for Artificial Intelligence and Data Analytics on Virginia Tech’s campus in Blacksburg and at the Innovation Campus in Alexandria, the initiative was launched in March to support student and faculty-led development and implementation of innovative approaches to robust machine learning — such as ensuring that algorithms and models are resistant to errors and adversaries — that could address worldwide industry-focused problems. Read more here.