Practical Deep Learning for Cloud, Mobile, and Edge

About the Authors

Primary Authors

Anirudh Koul is a noted AI expert, a UN/TEDx speaker, and a former senior scientist at Microsoft AI & Research, where he founded Seeing AI, often considered the most used technology among the blind community after the iPhone. Anirudh serves as the head of AI & Research at Aira, recognized by Time magazine as one of the best inventions of 2018. With features shipped to a billion users, he brings over a decade of production-oriented applied research experience on petabyte-scale datasets. He has been developing technologies using AI techniques for augmented reality, robotics, speech, and productivity as well as accessibility. His work with AI for Good, which IEEE has called “life-changing,” has received awards from CES, FCC, MIT, Cannes Lions, and the American Council of the Blind; been showcased at events by UN, World Economic Forum, White House, House of Lords, Netflix, and National Geographic; and lauded by world leaders including Justin Trudeau and Theresa May.

Siddha Ganju, an AI researcher who Forbes featured in its “30 under 30” list, is a self-driving architect at Nvidia. As an AI advisor to NASA FDL, she helped build an automated meteor detection pipeline for the CAMS project at NASA, which discovered a comet. Previously at Deep Vision, she developed deep learning models for resource constraint edge devices. Her work ranges from visual question answering to generative adversarial networks to gathering insights from CERN’s petabyte-scale ...