Press Release – The world’s first discrete deep learning accelerator. A standalone, ultra-low power neural network compute accelerator inside a standard USB stick. See it first at the Embedded Vision Summit in Santa Clara, CA, May 2-4.

Movidius is pleased to introduce the new Fathom machine learning software framework. Fathom converts trained offline neural networks into embedded neural networks running on the ultra-low power Myriad 2 VPU. By targeting Myriad 2, Fathom makes it easy to profile, tune and optimize your standard TensorFlow or Caffe neural network. Fathom allows your network to run in embedded environments such as smart cameras, drones, virtual reality headsets and robots. Fathom takes Deep Neural Networks to where they have never gone before, at high speeds and ultra-low power at the network edge.

Movidius is also introducing the Fathom Neural Compute Stick — the first product of its kind — a modular deep learning accelerator in the form of a standard USB stick. Featuring a full-fledged Myriad 2 VPU, the Fathom Neural Compute Stick not only enables rapid prototyping, but also delivers high levels of neural network compute to existing devices via a USB port. Thanks to the ultra-low power Myriad 2 VPU, the Fathom Neural Compute Stick does not require an external power supply, and can accelerate neural network performance for a wide range of devices.

See the rest of the release and related material here:

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