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Blog – Page 10829

Deep learning owes its rising popularity to its vast applications across an increasing number of fields. From healthcare to finance, automation to e-commerce, the RE•WORK Deep Learning Summit (27−28 April) will showcase the deep learning landscape and its impact on business and society.

Of notable interest is speaker Jeffrey De Fauw, Research Engineer at DeepMind. Prior to joining DeepMind, De Fauw developed a deep learning model to detect Diabetic Retinopathy (DR) in fundus images, which he will be presenting at the Summit. DR is a leading cause of blindness in the developed world and diagnosing it is a time-consuming process. De Fauw’s model was designed to reduce diagnostics time and to accurately identify patients at risk, to help them receive treatment as early as possible.

Joining De Fauw will be Brian Cheung, A PhD student from UC Berkeley, and currently working at Google Brain. At the event, he will explain how neural network models are able to extract relevant features from data with minimal feature engineering. Applied in the study of physiology, his research aims to use a retinal lattice model to examine retinal images.

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Ray Kurzweil is probably the most qualified individual to talk about the future of technology. He does it at CeBIT in a captivating presentation about technologies that will be as important as the internet. Ray is an Inventor, Entrepreneur, Futurist, Writer, founder of the Singularity University and now at Google. (Intro is temporally missing). March 2017.

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The year is 2030. Former president Donald Trump’s border wall, once considered a political inevitability, was never built. Instead, its billions of dollars of funding were poured into something the world had never seen: a strip of shared territory spanning the border between the United States and Mexico. Otra Nation, as the state is called, is a high-tech ecotopia, powered by vast solar farms and connected with a hyperloop transportation system. Biometric checks identify citizens and visitors, and relaxed trade rules have turned Otra Nation into a booming economic hub. Environmental conservation policies have maximized potable water and ameliorated a new Dust Bowl to the north. This is the future envisioned by the Made Collective, a group of architects, urban planners, and others who are proposing what they call a “shared co-nation” as a new kind of state.

Many people have imagined their own alternatives to Trump’s planned border wall, from the plausible — like a bi-national irrigation initiative — to the absurd — like an “inflatoborder” made of plastic bubbles. Made’s members insist that they’re serious about Otra Nation, though, and that they’ve got the skills to make it work. That’s almost certainly not true — but it’s also beside the point. At a time when policy proposals should be taken “seriously but not literally,” and facts are up for grabs, Otra Nation turns the slippery Trump playbook around to offer a counter-fantasy. In the words of collective member Marina Muñoz, “We can really make the complete American continent great again.”

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SAN FRANCISCO, April 4, 2017 /PRNewswire/ — Enlitic, a medical deep learning company, is pleased to announce that it has executed a Memorandum of Understanding (“MOU”) with Beijing Hao Yun Dao Information & Technology Co., Ltd (“Paiyipai”) to provide Enlitic’s deep learning solution to Paiyipai for diagnostic imaging in Health Check centers across China.

Paiyipai is a medical big data company. The company is a market leader in China in the analysis of individual laboratory medical test results, and the storage and distribution of user medical records.

The MOU forms the basis of collaboration for the first large-scale commercial deployment of Enlitic’s deep learning technology in China. It was executed following a successful 10,000 chest x-ray trial of Enlitic’s patient triage platform.

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This wasn’t the first such event – the agricultural revolution had upended human lives 12,000 years earlier.

A growing number of experts believe that a third revolution will occur during the 21st century, through the invention of machines with intelligence which far surpasses our own. These range from Stephen Hawking to Stuart Russell, the author of the best-selling AI textbook, AI: A Modern Approach.

Rapid progress in machine learning has raised the prospect that algorithms will one day be able to do most or all of the mental tasks currently performed by humans. This could ultimately lead to machines that are much better at these tasks than humans.

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Earlier this month, Moscow’s Mercedes-Benz Fashion Week showcased some spectacular 3D printed prosthetic arms made by designer Nikita Replyanski and Russian prosthesis manufacturer Motorica. The 3D printed prostheses, inspired by robots and butterflies, were made using Autodesk Fusion 360.

Fashion weeks, whether they’re being held in the “Big Four” fashion capitals of the world or elsewhere, tend to favor style over substance. It’s called a fashion week, after all, not a function week. But that doesn’t mean that the industry events don’t occasionally showcase items that are as sensible as they are stylish. Just have a look at what was on show at Moscow’s Mercedes-Benz Fashion Week earlier this month.

While not usually an event of major global interest like Paris Fashion Week, the Russian fashion show brought together a host of top designers looking to show off their fall/winter 2017–2018 collections. Amongst those designers was Nikita Replyanski, a Russian designer and concept artist who left the computer games industry three years ago to focus on designing physical, non-virtual items. But rather than show off dresses, shoes, hats, Replyanski was presenting something totally different: 3D printed prosthetic arms.

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