Sep 9–12, 2019

Miro Enev
Senior Solution Architect, NVIDIA

Miro Enev is a senior solutions architect at NVIDIA, specializing in advancing data science and machine intelligence while respecting human values. He supports the Pacific Northwest teams engaged with cloud, industrial, and retail clients while participating in research in deep reinforcement learning and edge-to-cloud AI. Miro holds a PhD from the University of Washington’s computer science and engineering department, where his thesis was on machine learning applications for information privacy in emerging sensor contexts. He studied cognitive science and computer science as an undergraduate at the University of California, Berkeley.

Sessions

9:00am - 5:00pm Monday, September 9 & Tuesday, September 10

Location: 114

Put deep learning to work: A practical introduction using Amazon Web Services

Secondary topics: Deep Learning tools, Machine Learning, Reinforcement Learning

Wenming Ye (Amazon Web Services), Miro Enev (NVIDIA), Mahendra Bairag (Amazon Web Services)

Machine learning (ML) and deep learning (DL) projects are becoming increasingly common at enterprises and startups alike and have been a key innovation engine for Amazon businesses such as Go, Alexa, and Robotics. Wenming Ye, Miro Enev, and Mahendra Bairag detail a practical next step in DL learning with instructions, demos, and hands-on labs. Read more.