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Mostrando las entradas de abril 9, 2017

Ohio inmates used salvaged computers to commit credit card fraud from jail

It’s never nice to be without the Internet. When I take a flight and there’s no Wi-Fi, I might grumble. The same is also true when my ISP shits the bed, and I’ve got to wait a few hours for them to send a technician out. Which is why I’ve got a grudging appreciation for the inmate of Marion Correctional Institution in Ohio who  built two clandestine computers , hid them in the ceiling, and connected them to the Internet via the prison’s network. [ Read more here... ]

Google reportedly pursuing LG display deal so it can actually ship phones this year

Google has reportedly offered to invest around $880 million US (1 trillion won) in LG’s Display division in an apparent bid to make sure it gets the supply of displays it needs for the next Pixel phone. According to the  Electronic Times  (via  Reuters ), the lack of a steady supply of OLED panels was one of the main reasons why Google has had such a hard time shipping the current Pixel phone. Google has apparently realized that if you’re trying to break into the phone hardware business, you should probably find a way to make and sell phones to people who want to buy them. Who knew?! [ Read more here... ]

Djay Pro arrives on Windows with streaming from Spotify

The Windows 10 incarnation of Algoriddim’s powerful but easy-to-use DJing app is pretty much identical to what it’s like on macOS: it lets DJs control up to four tracks of audio, manipulate two videos at a time, connect to a selection of DJ controllers, and pull in any song they want from Spotify (so long as they’re a subscriber). There aren’t many changes here aside from some minor visual tweaks to make the app better fit in on Windows. Although, on the off chance that you want to DJ on a Surface Studio, Algoriddim has added controls for the Surface Dial. [ Read more here... ]

Google is testing a new way of training its AI algorithms directly on your phone

When big tech firms use machine learning to improve their software, the process is usually a very centralized one. Companies like Google and Apple gather information about how you use their apps; collect it in one place; and then train new algorithms using this aggregated data. The end result for users could be anything from sharper photos on your phone’s camera, to better a search function in your email app. This method is effective, but the back-and-forth of updating apps and gathering feedback is time-consuming. And it’s not great for user privacy, as companies have to store data on how you use your apps on their servers. So, to try and address these problems, Google is experimenting with a new method of AI training it calls  Federated Learning . [ Read more here... ]