SEMICON Japan 2018: AWS Machine Learning in the Cloud and Edge Devices

Sunil Mallya, Deep Learning Scientist of the Machine Learning Solutions Lab at Amazon Web Services, discusses AWS’s approach to machine learning, including the three challenges customers face today– cost, data, and ease of use. Inference in production, challenges in forecasting, reinforcement learning, and autonomous racing are also covered. From SEMICON Japan in December 2018 in Tokyo.

Keywords: Machine Learning, IoT, Autonomous Vehicles, Forecast, Cloud, Edge Computing, Edge Devices, Cloud Computing