Tag Archives: neural

Intel Announces ‘Nervana’ Neural Network Processor

This site may earn affiliate commissions from the links on this page. Terms of use. Science-fiction authors and modern technology mega-corporations agree on one thing–artificial intelligence is the future. Everyone from Google to Facebook is designing artificial neural networks to tackle big problems like computer vision and speech synthesis. Most of these projects are using existing computer hardware, but Intel has something big on the way. The chip maker has announced the first dedicated neural network processor, the Intel Nervana Neural Network Processor (NNP). A neural network is designed to ...

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What to Expect From Apple’s Neural Engine in the A11 Bionic SoC

At Apple’s unveil event for the iPhone X and iPhone 8 this week, the company announced the A11 Bionic, an SoC with a six-core CPU, Apple’s first custom GPU, and what the company is calling a Neural Engine. Apple isn’t really talking much about the hardware, beyond saying this: The new A11 Bionic neural engine is a dual-core design and performs up to 600 billion operations per second for real-time processing. A11 Bionic neural engine is designed for specific machine learning algorithms and enables Face ID, Animoji and other features. ...

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The Movidius Myriad X VPU Packs a Custom Neural Compute Engine

This site may earn affiliate commissions from the links on this page. Terms of use. Movidius, the company behind early work on Google’s Project Tango and its own Myriad 2 high performance vision processors, has announced a new VPU (Vision Processing Unit) dubbed Myriad X. The new core is a significant advance on previous designs, and Movidius claims it can process up to 1 trillion deep neural network (DNN) operations per second with 10 times the performance of the Myriad 2 architecture. Part of the reason Movidius can hit these ...

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MIT Research Could Make Neural Networks Portable

Computers aren’t just getting faster these days–they’re getting smarter. That’s thanks largely to artificial neural networks, which consist of multiple nodes of processing designed to interpret and understand data more like a biological brain. Neural networks are behind modern software features like voice recognition, computer vision, and even beating humans at Go. However, neural networks need a lot of power, so they usually run in the cloud. Having a neural network locally on your mobile device could be hugely beneficial, and it may be possible thanks to research from a team ...

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This new application of layered neural nets is about to make Photoshop amazing

“This looks Photoshopped.” How many times have you heard — or said — those three skeptical words? And yet every year, Photoshop and tools like it get a little more sophisticated, and it gets tougher to tell what’s a ‘shop and what’s not. More research comes out, more programs are written to incorporate the new research, and then artists get their hands on the tools and develop a deft and subtle touch. Now a group of researchers from Cornell University and Adobe have layered neural nets atop an image style ...

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Deep-learning neural network creates its own interpretive dance

Way back in 2005, when Will Wright unveiled Spore to an astonished crowd at GDC, there was one particular part of the demo that seemed to generate buzz: procedural dance. Spore uses player input to generate everything from a creature’s walk animation to its mode of social interaction, but it was the ability to take a novel body shape and make it dance that seemed to excite people’s imaginations the most. Yet Spore took the easy road: None of the creatures look like human beings, which means we have no ...

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Google neural network can tell where photos were taken better than humans

Share This article When you look at a photos, you might be able to use various visual cues to determine where in the world it was taken. Maybe it’s the architecture or the vegetation that tips you off. Whatever it is, this is something machines have always had trouble doing, until now. Google computer vision researcher Tobias Weyand and his team have created a neural network that is capable of looking at a photo and determining where in the world it was taken with higher accuracy than a human. To ...

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