Visual Cortex in USB Form Factor

Housed in a USB key device, the Fathom contains an embedded neural network that can accelerate deep learning with low power requirements. It uses the dedicated Myriad 2 Vision Processing Unit (VPU) chip to provide visual cortex functions in stand alone environments without requiring cloud connectivity.

Movidius Announces Deep Learning Accelerator and Fathom Software Framework – [movidius.com]

SAN MATEO, California – April 28th, 2016 – Movidius, the leader in low-power machine vision technology, today announced both the Fathom Neural Compute Stick – the world’s first deep learning acceleration module, and Fathom deep learning software framework. Both tools hand-in-hand will allow powerful neural networks to be moved out of the cloud, and deployed natively in end-user devices.

The new Fathom Neural Compute Stick is the world’s first embedded neural network accelerator. With the company’s ultra-low power, high performance Myriad 2 processor inside, the Fathom Neural Compute Stick can run fully-trained neural networks at under 1 Watt of power. Thanks to standard USB connectivity, the Fathom Neural Compute Stick can be connected to a range of devices and enhance their neural compute capabilities by orders of magnitude.

Fathom by Movidius

– [youtube.com]

Fathom is the world’s first Deep Neural Network Accelerator module. Housed in a standard USB key is a powerful, yet efficient Myriad 2 VPU, which when connected to a host machine can drastically increase neural compute performance, bringing new levels of intelligence to our devices.

Myriad 2: Chip Architecture

– [youtube.com]

This short video explores the unique chip architecture of Myriad 2, enabling it to process the demanding computer vision algorithms in next-gen devices, while only requiring tiny amounts of power from the battery.

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