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A look at how ten of the biggest Democratic donors from Silicon Valley are not only pumping money into the midterms but also rethinking how their…

Theodore Schleifer / Recode : A look at how ten of the biggest Democratic donors from Silicon Valley are not only pumping money into the midterms but also rethinking how their money is spent   —  A cheat sheet to the gusher of cash flooding the system in advance of Election Day.  —  Tech resistance to U.S. President Donald Trump has reached its zenith.

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The Winklevoss’ debut Virtual Commodity Association, a self-regulatory working group for crypto assets; members include Gemini, Bitstamp, bitFlyer…

Matthew Leising / Bloomberg : The Winklevoss' debut Virtual Commodity Association, a self-regulatory working group for crypto assets; members include Gemini, Bitstamp, bitFlyer USA, Bittrex   —  - The Virtual Commodity Association seeks to stamp out cheating  — Members include Gemini, Bitstamp, BitFlyer and Bittrex

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Sources: Apple to debut later this year a pro-focused upgrade to Mac mini and a low-cost laptop like MacBook Air but with smaller bezels and a retina…

Bloomberg : Sources: Apple to debut later this year a pro-focused upgrade to Mac mini and a low-cost laptop like MacBook Air but with smaller bezels and a retina 13" screen   —  - Retina laptop, pro-focused Mac mini desktop coming this year  — Apple reported fewest Mac sales since 2010 during last quarter

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NYT fully omitted Mary Stone Ross, one of the original three activists behind the ballot measure that led to CA’s online privacy law, from its recent…

Kashmir Hill / Jezebel : NYT fully omitted Mary Stone Ross, one of the original three activists behind the ballot measure that led to CA's online privacy law, from its recent deep dive   —  The New York Times Magazine recently published a lengthy cover story on “The Unlikely Activists Who Took On Silicon Valley …

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NYU and Facebook team up to supercharge MRI scans with AI

Magnetic resonance imaging is an invaluable tool in the medical field, but it’s also a slow and cumbersome process. It may take fifteen minutes or an hour to complete a scan, during which time the patient, perhaps a child or someone in serious pain, must sit perfectly still. NYU has been working on a way to accelerate this process, and is now collaborating with Facebook with the goal of cutting down MRI durations by 90 percent by applying AI-based imaging tools. It’s important at the outset to distinguish this effort from other common uses of AI in the medical imaging field. An X-ray, or indeed an MRI scan, once completed, could be inspected by an object recognition system watching for abnormalities, saving time for doctors and maybe even catching something they might have missed. This project isn’t about analyzing imagery that’s already been created, but rather expediting its creation in the first place. The reason MRIs take so long is because the machine must create a series of 2D images or slices, many of which must be stacked up to make a 3D image. Sometimes only a handful are needed, but for full fidelity and depth — for something like a scan for a brain tumor — lots of slices are required. The FastMRI project, begun in 2015 by NYU researchers, investigates the possibility of creating imagery of a similar quality to a traditional scan, but by collecting only a fraction of the data normally needed. Think of it like scanning an ordinary photo. You could scan the whole thing… but if you only scanned every other line (this is called “undersampling”) and then intelligently filled in the missing pixels, it would take half as long. And machine learning systems are getting quite good at tasks like that. Our own brains do it all the time: you have blind spots with stuff in them right now that you don’t notice because your vision system is filling in the gaps — intelligently. The data collected at left could be “undersampled” as at right, with the missing data filled in later If an AI system could be trained to fill in the gaps from MRI scans where only the most critical data is collected, the actual time during which a patient would have to sit in the imaging tube could be reduced considerably. It’s easier on the patient, and one machine could handle far more people than it does doing a full scan every time, making scans cheaper and more easily obtainable.

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NYU and Facebook team up to supercharge MRI scans with AI

Magnetic resonance imaging is an invaluable tool in the medical field, but it’s also a slow and cumbersome process. It may take fifteen minutes or an hour to complete a scan, during which time the patient, perhaps a child or someone in serious pain, must sit perfectly still. NYU has been working on a way to accelerate this process, and is now collaborating with Facebook with the goal of cutting down MRI durations by 90 percent by applying AI-based imaging tools. It’s important at the outset to distinguish this effort from other common uses of AI in the medical imaging field. An X-ray, or indeed an MRI scan, once completed, could be inspected by an object recognition system watching for abnormalities, saving time for doctors and maybe even catching something they might have missed. This project isn’t about analyzing imagery that’s already been created, but rather expediting its creation in the first place. The reason MRIs take so long is because the machine must create a series of 2D images or slices, many of which must be stacked up to make a 3D image. Sometimes only a handful are needed, but for full fidelity and depth — for something like a scan for a brain tumor — lots of slices are required. The FastMRI project, begun in 2015 by NYU researchers, investigates the possibility of creating imagery of a similar quality to a traditional scan, but by collecting only a fraction of the data normally needed. Think of it like scanning an ordinary photo. You could scan the whole thing… but if you only scanned every other line (this is called “undersampling”) and then intelligently filled in the missing pixels, it would take half as long. And machine learning systems are getting quite good at tasks like that

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Giphy refreshes its homepage to feature sets of GIFs around different trending topics, curated by an editorial team, called Stories (Anna…

Anna Hensel / VentureBeat : Giphy refreshes its homepage to feature sets of GIFs around different trending topics, curated by an editorial team, called Stories   —  Giphy, the search engine for GIFs, is rolling out a redesigned homepage today to capitalize on GIFs' reputation for capturing memorable moments from live events.

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Skype launches end-to-end encrypted conversations out of preview, but feature is opt-in and users’ private messages don’t sync across devices…

Pradeep / MSPoweruser : Skype launches end-to-end encrypted conversations out of preview, but feature is opt-in and users' private messages don't sync across devices   —  Back in January, Microsoft announced the preview of end-to-end encrypted Private Conversations on Skype.  When you chat with someone using …

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Microsoft will launch Minecraft: Education Edition on the iPad in September; company says the school version now has 35M licensees in 115 countries…

Frank Catalano / GeekWire : Microsoft will launch Minecraft: Education Edition on the iPad in September; company says the school version now has 35M licensees in 115 countries   —  Just in time for back-to-school, “Minecraft: Education Edition” is coming to Apple's iPad.  And also for the first time …

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Chinese state media, which recently criticized Apple for illegal apps in the China App Store, says Apple has removed 25,000 apps (Yoko Kubota/Wall…

Yoko Kubota / Wall Street Journal : Chinese state media, which recently criticized Apple for illegal apps in the China App Store, says Apple has removed 25,000 apps   —  Apple offers more than 1.8 million apps in China  —  BEIJING—Under fire from Chinese state media, Apple Inc. AAPL 2.00% said it removed illegal gambling apps …

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