Slides for Darren S Crews’ Presentation @ QCon San Fransisco

The Movidius™ Neural Compute Stick (NCS) is a tiny fanless deep learning device that you can use to learn AI programming at the edge. NCS is powered by the same low power high-performance Movidius™ Vision Processing Unit (VPU) that can be found in millions of smart security cameras, gesture-controlled drones, industrial machine vision equipment, and more. The Movidius Neural Compute Stick enables rapid prototyping, validation and deployment of Deep Neural Network (DNN) inference applications at the edge. Its low-power VPU architecture enables an entirely new segment of AI applications that aren’t reliant on a connection to the cloud. The NCS combined with Movidius™ Neural Compute SDK allows deep learning developers to profile, tune, and deploy Convolutional Neural Network (CNN) on low-power applications that require real-time inferencing. This talk explores this cutting-edge device an offers a glimpse into what the future holds for software developers diving into the space of deep learning.

Darren S crews Principal Engineer, Intel Corporation

Darren is a Principal Engineer at Intel focusing on Deep Learning for embedded and client devices. In his current role Darren is working on projects including the Intel Movidius Neural Compute Stick where he is the lead system architect. He has a MS in Electrical Engineering and MS in Mechanical Engineering from Stanford University