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.

Chip makerMovidius has unveiledthe worlds first embedded neural network accelerator. Known as the Fathom Neural Compute Stick, this device could be pluggedinto a Linux device to allow it to performfunctions like image recognition, language comprehension, and pattern detection. To make this a reality, chip maker Movidius has introduced the Fathom Neural Compute Stick. Dubbed as thethe worlds first embedded neural network accelerator, this USB stick contains a deep learning processing accelerator. This stick could be connected to an existing Linux device to increase the efficiency of neural networking tasks 20-30 times.

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.

Following on the heels of their announcement a few weeks ago about their FLIR partnership, Movidius is making another pretty significant announcement regarding their Myriad 2 processor. They've incorporated it into a new USB device called the Fathom Neural Compute Stick. You can plug the Fathom into any USB-capable device (computer, camera, GoPro, Raspberry Pi, Arduino, etc) and that device can become "smarter" in the sense that it can utilize the Myriad 2 processor inside of it to become an input for a neural network (I'll come back to all this). Essentially, it means a device with the Fathom plugged into it can react cognitively or intelligently, based on the things it sees with its camera (via computer vision) or data it processes from another source. A device using it can make its own decisions depending on its programming.

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.

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.

Video Friday is your weekly selection of awesome robotics videos, collected by your non-flexible Automaton bloggers. We'll also be posting a weekly calendar of upcoming robotics events for the next two months; here's what we have so far (send us your events!): Let us know if you have suggestions for next week, and enjoy today's videos. Friend o' the blog Markus Waibel sent us this video of the craziest ETH Zurich Flying Machine Arena project (so far): the monocopter, which has one prop and nothing else. We're told that Markus bet that this thing could only work in theory, and lost: This video introduces the monospinner, the mechanically simplest controllable flying machine in existence.

Irish chip maker Movidius has created the world's first deep learning USB stick that can add artificial intelligence (AI) to future products from self-driving cars to robots, and drones that will learn to think for themselves. Entitled the Fathom Neural Compute Stick, the device will sell for less than 100 and will allow powerful neural networks to be moved out of the cloud and deployed on new products like robots and drones. It is the latest breakthrough for the Dublin company, which has been winning major multi-million dollar deals with Google and drone maker DJI. 'With Fathom, every robot, big and small, can now have state-of-the-art vision capabilities' – DR YANN LECUN, NEW YORK UNIVERSITY "Any organisation can now add deep learning or machine intelligence to devices using the USB stick and create products that will be accessible to broader markets," Movidius co-founder David Moloney told Siliconrepublic.com. "We've already seen how the auto industry has been outflanked by Tesla ...

Following on the heels of their announcement a few weeks ago about their FLIR partnership, Movidius is making another pretty significant announcement regarding their Myriad 2 processor. They've incorporated it into a new USB device called the Fathom Neural Compute Stick. You can plug the Fathom into any USB-capable device (computer, camera, GoPro, Raspberry Pi, Arduino, etc) and that device can become "smarter" in the sense that it can utilize the Myriad 2 processor inside of it to become an input for a neural network (I'll come back to all this). Essentially, it means a device with the Fathom plugged into it can react cognitively or intelligently, based on the things it sees with its camera (via computer vision) or data it processes from another source. A device using it can make its own decisions depending on its programming.