378 karma · joined June 5, 2013
I would think that Netflix and Amazon are considered on demand services.
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From: Kingsbury, Katie <katie.kingsbury@nytimes.com>
Date: Wed, Apr 10, 2019 at 2:30 PM
Subject: Rollout
To: Bennet, James <james.bennet@nytimes.com>
James,
Here’s a line up for the launch tomorrow, all of these will be online before Sunday:
• A.G.’s publisher’s note about The Times
• Manjoo on household items that track us
• Wu on the history of privacy
• Jeong on A.I. and insurance
• Metzel on genetically engineered babies
• Warzel on tech CEOs in their own words
• Fr. Martin on privacy and faith
• Emily Chang on privacy as a feminist issue
• Douthat on our post-privacy order
• Swisher on privacy regulation
• Irby on what’s funny about all this.
Plus, of course, your piece if you can actually get it done in time.
Next week, we’ll drop the piece about how we turned a public camera in Manhattan into a facial recognition equipped surveillance machine and who we caught with it.
The vanity URL is locked in as nytimes.com/privacy-project and the social team has spun up the @PrivacyProject account.
Katie
-->https://www.samsung.com/us/computing/memory-storage/solid-st...
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Which links to this (in swedish): https://www.bahnhof.se/press/press-releases/2018/11/01/bara-...
Google DNS and its IP addresses are mentioned, so they are probably enforcing just DNS blocking.
see: http://www.anandtech.com/show/11925/western-digital-stuns-st...
[1] https://ocw.mit.edu/courses/electrical-engineering-and-compu...
There was a lot of excitement, once blue color longevity issues were solved, how it is easier and thus cheaper to manufacture, how soon it'll outcompete LCD. 20 years later still waiting.
How does PhotoDNA work?
PhotoDNA technology converts images into a common black-and-white format and uniform size, then divides the image into squares and assigns a numerical value that represents the unique shading found within each square. Together, those numerical values represent the "PhotoDNA signature" or "hash" of an image, which can then be compared against signatures of other images. While the technology cannot be used to identify a person or object in an image, nor can it be used to recreate an image, it can be used to find copies of a given image with incredible accuracy and at scale across the 1.8 billion images shared online every day, even when the images themselves have been altered.
https://www.microsoft.com/en-us/PhotoDNA/FAQ?3158ae95-fce7-4...
[0] https://qz.com/338767/the-man-who-brought-us-the-lithium-ion...
Let's say you have 100 seconds of film material with corresponding audio duration. That would be exactly 2400 frames, because film is 24 fps. When you do 2:3 pulldown (that's one of the methods used to do telecine, i.e. film conversion to television format) you'll get back exactly 3000 video frames. But in NTSC format, (if you'll leave audio untouched, i.e. it's duration didn't change, it's still is 100 seconds) for 100 seconds of video duration you must display 2997 video frames, not 3000. So you just throw away 1 frame from every 1000 frames to get the exact 29.97 fps.
Doing this, at worst case you'll get audio/video desynchronization of 33 ms, which I don't think is noticeable (I tend to visually notice desynchronization when it's at about 100 ms or more). But if you'll drop that 1 excessive frame in the middle (not at the end) of the sequence of 1000 frames, you'll get audio/video desynchronization which only varies from -16 ms to +16 ms. Which is not worth the trouble of fixing this by going the other way around it: leaving video untouched and slowing down the audio by 0.1%.
No. For NTSC they just drop (throw away) 1 frame from every 1000 frames, so there's no speed-up or speed-down in audio track.