The Fathom Neural Compute Stick uses the company’s Myriad 2 chip (model MA2450), a superbly power-efficient vision processor (VPU) which we covered back in 2014, and the USB stick format provides a casing for the tiny motherboard, memory (512MB) and everything else required to form a complete computer. In practical embedded A.I applications, USB 3.0 would provide enough bandwidth for known workloads.
That said, Inference still requires computing capabilities that evade the overwhelming majority of drones and other embedded systems today. That’s where Fathom comes into play because this stick computer will give the extra “brain” capacity required for the task at hand, and will do so in a power envelope (sub 1W), which won’t be an overall game-changer for the platform.
During our discussion with Movidius’ CEO, Remi El-Ouazzane, he was confident that his platform can be 5X to 10X more power-efficient than the competition.
For example, Fathom allows the construction (or extension) of drones that can then become more autonomous. They could become smart enough to spot a flat area large enough to land safely. They could avoid collisions, and be more “aware” of their general surrounding and take proper action.
In fact, any computerized platform equipped with a camera and a USB port could benefit from Fathom. Surveillance cameras or rescue robots could now spot people, recognize who they are. Movidius can’t comment on 3rd party products which will use its platform, but the company is known to work very closely with Google.
At the moment, Movidius is sampling products to OEMs to accelerate the development or finalization of applications. After that, we know that the company intends to position Fathom aggressively against competing platforms, and it seems that Movidius will easily have the latitude to do so.