Dr. Deepu Talla
NVIDIA 自動化機械事業部門 副總裁暨總經理
Vice President & General Manager of
Autonomous Machines
NVIDIA Corporation
演講摘要
人工智慧正透過深度學習的形式，改變、顛覆你我身邊的各個產業。其中，GPU運算靠著在摩爾定律陷入瓶頸時，能有效提升晶片效能而脫穎而出，成為加速運算（accelerated computing）的準則。
本次演講將分享NVIDIA在高效能運算與人工智慧範疇所引領產業的成就，以及這些技術突破為自駕車、機器人、智慧影像分析等領域所帶來的影響。
講者經歷
Deepu Talla 現任自動化機械事業部門副總裁暨總經理，負責將AI相關技術推廣、運用至工業用機器人、商業用無人機、影像分析等領域。在此之前，他領導NVIDIA行動事業部門。2013年加入NVIDIA之前，則曾在德州儀器任職超過10年。
Abstract
Artificial intelligence in the form of deep learning is transforming and disrupting every industry. GPU computing has emerged as the standard of accelerated computing by increasing performance at Moore’s law squared.
This session will give an overview of NVIDIA’s industry-leading work in high-performance computing and AI, and its impact on autonomous vehicles, robotics, intelligent video analytics, and more.
Biography
Deepu Talla is vice president and general manager of Autonomous Machines at NVIDIA, where he is responsible for deploying AI technology in devices such as factory robots, commercial drones and video analytics. Previously, he was responsible for NVIDIA’s mobile business unit.
Prior to joining NVIDIA in 2013, he worked at Texas Instruments for more than 10 years in various executive management and technical leadership roles.
Talla holds a Bachelor of Engineering degree in electronics and communication engineering from Andhra University in India, a Master of Science degree in electrical engineering from Villanova University, and a Ph.D. in computer engineering from the University of Texas at Austin.