DeepDream is, well, I can’t improve upon Wikipedia’s definition: DeepDream is a computer vision program created by Google engineer Alexander Mordvintsev which uses a convolutional neural network to find and enhance patterns in images...Show More Summary
Movidius' new Myriad X packs a specialized deep neural network engine, more of the company's vision processing SHAVE CPU cores, and expanded interconnect support, all while sticking to the Myriad 2's power consumption. The post The Movidius Myriad X VPU Packs a Custom Neural Compute Engine appeared first on ExtremeTech.
Looks like George R.R. Martin can take a breather. An engineer set up a neural network using all of the books in the A Song of Ice and Fire series to write part of the next instalment, The Winds of Winter. It may not make a lot of sense -- or any sense, really -- but hell, neither did a lot of that finale. More »
Movidius, now an Intel company, announced the Myriad X VPU, which the company claims is the world's first Vision Processing Unit (VPU) with a dedicated Neural Compute Engine.
Today, Intel subsidiary Movidius is announcing the Movidius Myriad X vision processing unit (VPU), a low-power system-on-chip (SoC) intended for deep learning and AI acceleration in vision-based devices such as drones, smart cameras, and VR/AR headsets. Show More Summary
The $80 Movidius Neural Compute Stick is tuned for tinkerers and engineers who want to give neural network technology a whirl.
Apple is reportedly working on a chip for its devices to process artificial intelligence. Called the Apple Neural Engine internally, the chip will assist in functions such as computer vision, speech recognition, facial recognition, and other forms of artificial intelligence, according to Bloomberg. Show More Summary
A team of Google researchers presented a paper in Boston, Massachusetts on September 18, 2016 titled Deep Neural Networks for YouTube Recommendations at the 10th annual Association for Computing Machinery conference on Recommender Systems...Show More Summary
It has been a while since the concept of neural dust was first proposed by researchers at the University of California, Berkeley. Since then, the engineers have published multiple papers on the device. In fact, they have just reported data on device validation and neural activity recorded from the peripheral nervous system of rats. Show More Summary
Deep learning is increasingly critical to the future of computing, and Qualcomm is leaping into the fray with new software tools of its own. The Snapdragon Neural Processing Engine SDK will help developers leverage the strengths of the Snapdragon 820 platform in cutting-edge applications.
A team of researchers from the Jacobs School of Engineering and Institute for Neural Computation at UC San Diego have developed a 64-channel "dry" electroencephalogram (EEG), reportedly the world's first. Traditional EEGs require their electrodes be coated in a conductive paste and the skin below them be cleaned and prepared prior to application. Show More Summary
A remarkable thing happened when Google engineers took a neural network and flipped it: it produced psychedelic portraits based on what it “wanted” to see in an image, its own self-taught assumptions, as if it were dreaming. But it wasn’t...Show More Summary
Google’s engineers can do some pretty incredible things with the consumer technology it has developed—from “dreaming” neural networks based on computer vision to an algorithm that can create video from Street View images. Read more....
Even as some scientists and engineers develop improved versions of current computing technology, others are looking into drastically different approaches. DNA computing offers the potential of massively parallel calculations with low power consumption and at small sizes. Show More Summary