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.
Movidius, machine intelligence partner to DJI, FLIR, Google and others, is introducing the first ever powerful deep learning processing accelerator that fits into a tiny USB Stick. It connects to existing systems and increases the performance of neural networking tasks by 20-30X. It performs at over 150GFLOPS while consuming under 1.2W. Called the Fathom Neural Compute Stick, It's basically the world's first supercomputer on a USB device. Developers, researchers, hobbyists (think raspberry pie) and anyone developing deep learning applications will benefit from Fathom.
A Silicon Valley chip designer has launched a USB stick with a supercomputer onboard. Movidius, based in San Mateo, California, has essentially put a deep learning chip inside a USB drive. Deep learning involves "training" a computational model so it can decipher natural language. The "Fathom Neural Compute Stick" has been designed to connect to existing systems (running Linux) and increase the performance of deep learning tasks by 20-30 times. Movidius chips are also used to help drones to avoid obstacles and thermal cameras to spot people in a fire.
Consider the plight of your average camera-equipped computer, like your laptop, phone, or security camera. It might want to be smart, but for its lenses to really learn, it has to have access to a learning system-- a neural network or artificial intelligence. Many of these systems are shared in the cloud. Now, thanks to a new product released this week by Movidius, camera-enabled computers can be locally empowered with intelligent visual processing. It doesn't need to be cooled, barely uses energy, and learns locally.
Movidius has announced the Fathom Neural Compute Stick, which is claimed to be the first acceleration module for deep learning in the world, alongside the Fathom deep learning software framework. The Fathom Neural Compute Stick utilizes Movidius' ultra-low power, high performance processor, the Myriad 2, allowing the device to operate neutral networks using power below 1 watt. The device not only looks like a USB stick, but it also functions as one, connecting to a USB port across a wide range of devices. In combination with the Fathom deep learning software framework, the Fathom Neural Compute Stick will allow neural networks to be taken down from the cloud and then deployed directly into end-user devices. Embedded in the Fathom Neural Compute Stick is Google's machine learning software named TensorFlow, which is primarily used for vision processing.