Two electrical and computer engineering doctoral students were among the 10 from Carnegie Mellon pursuing artificial intelligence research who will receive support from Amazon through the company’s new AI Ph.D. Fellowship Program. The remaining students come from the school of Computer Science and College of Engineering.
The students’ research tackles the foundational challenges, theoretical underpinnings, and deep technological systems critical to AI innovation.
“Close collaboration between academia and industry is critical to producing groundbreaking work that will shape technologies for years to come,” said Martial Hebert, dean of the School of Computer Science. “Amazon and Carnegie Mellon share a common vision that AI can transform how we work, play, shop, socialize, and learn. We are grateful for Amazon’s support of foundational research in pursuit of innovation.”
Amazon’s AI Ph.D. Fellowship Program aims to help drive the innovations that will underwrite the next step in the evolution of practical AI. The program will provide two years of funding for more than 100 Ph.D. students at nine universities who are pursuing research on core AI disciplines such as machine learning, computer vision, and natural language processing.
