Tag Archives: deep learning

Google AI can spot advanced breast cancer more effectively than humans

Google has delivered further evidence that AI could become a valuable ally in detecting cancer. The company's researchers have developed a deep learning tool that can spot metastatic (advanced) breast cancer with a greater accuracy than pathologists...

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AI outperforms human doctors in spotting skin cancer

In January last year scientists reported that artificial intelligence was almost as effective at identifying skin cancer as dermatologists. Now, less than 18 months later, it's even better.

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NVIDIA neural network reconstructs images with missing parts

Advancements in machine learning and computer imaging are making impressive but impossible scenes in crime drama shows finally possible. Like the infamous “zoom in, enhance” CSI method. The latest achievement comes from NVIDIA, who has been aggressively pushing its silicon, like the Tesla V100 GPU as the processor of machine learning research

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Google NSynth Super puts Magenta AI into open-source synthesizer

Google’s Magenta AI has spawned an unexpected hardware device, the NSynth Super synthesizer that uses machine learning to create new sounds. Based on the Magenta research project, it’s built using the NSynth neutral synthesizer that Google released last year, embodying the AI smarts in a tactile physical interface

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How Microsoft’s Story Remix does what Clippy couldn’t

Microsoft is making some bold promises with Story Remix, its recently announced app for the Windows 10 Fall Creators update.

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NVIDIA’s AI may keep watch over smart cities of the future

Artificial intelligence is pushing into every area of our life with deep inroads to our mobile devices, our video games, and even our own brains. Video surveillance could the next step if NVIDIA's new video analytics platform, Metropolis, is successf...

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Someone Finally Hijacked Deep Learning Tech to Create More Than Nightmares

It’s been almost two years since Google liquefied our brains with its Deep Dream neural network and the nightmare-inducing images the technology created . But now, a team from the University of California, Berkeley is sort of doing the opposite —emphasis on “sort of.” Read more..

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