Lifeboat Foundation: Safeguarding Humanity
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Ask a member of Facebook’s growth team what feature played the biggest role in getting the company to a billion daily users, and they’ll likely tell you it was photos. The endless stream of pictures, which users have been able to upload since 2005, a year after Facebook’s launch, makes the social network irresistible to a global audience. It’s difficult to imagine Facebook without photos. Yet for millions of blind and visually impaired people, that’s been the reality for over a decade.

Not anymore. Today Facebook will begin automatically describing the content of photos to blind and visually impaired users. Called “automatic alternative text,” the feature was created by Facebook’s 5-year-old accessibility team. Led by Jeff Wieland, a former user researcher in Facebook’s product group, the team previously built closed captioning for videos and implemented an option to increase the default font size on Facebook for iOS, a feature 10 percent of Facebook users take advantage of.

Automatic alt text, which is coming to iOS today and later to Android and the web, recognizes objects in photos using machine learning. Machine learning helps to build artificial intelligences by using algorithms to make predictions. If you show a piece of software enough pictures of a dog, for example, in time it will be able to identify a dog in a photograph. Automatic alt text identifies things in Facebook photos, then uses the iPhone’s VoiceOver feature to read descriptions of the photos out loud to users. While still in its early stages, the technology can reliably identify concepts in categories including transportation (“car,” “boat,” “airplane”), nature (“snow,” “ocean,” “sunset”), sports (“basketball court”), and food (“sushi”). The technology can also describe people (“baby,” “smiling,” beard”), and identify a selfie.

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Some people might throw enough parties, or have the capacity to kill entire bottles of wine in just a night, but for the others, the rest of the stored wine changes taste and appeal over the next few days to the point where it’s demoted to giving body to your stew.

The Kuvee wine bottle provides a possible solution of the latter problem. More like a smart wine sleeve, than a smart wine bottle, it solves the two biggest problems when it comes to storing wine: exposing them to air and light. It stops the sun by storing the wine in metal bottles and it stops the air by vacuum sealing the wine. No air in or out. As for the temperature part, you have to manage the rest.

You slip it over the bottle of wine you’d like to imbibe and it is wifi enabled, giving you all sorts of important details: how much wine is left, what kind of wine you’re drinking, and what vineyard it’s from.

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DARPA’s new “Spectrum Collaboration Challenge” with a $2million prize for who can motivate a machine learning approach to dynamically sharing the RF Spectrum.

WASHINGTON, March 28, 2016 /PRNewswire-iReach/ — On March 23rd, 2016 DARPA announced its next Grand Challenge at the International Wireless Conference Expo in Las Vegas, Nevada. Program Manager, Paul Tilghman of DARPA’s Microsystems Technology Office (MTO), made the announcement to industry leaders following the conferences Dynamic Spectrum Sharing Summit. The challenge will motivate a machine learning approach to dynamically sharing the RF Spectrum and has been named the “Spectrum Collaboration Challenge.” A top prize of $2million dollars has been announced.

While mostly transparent to the typical cell phone or Wi-Fi user, the problem of spectrum congestion has been a long standing issue for both the commercial sector and Department of Defense. The insatiable appetite for wireless connectivity over the last 30 years has grown at such a hurried pace that within the RF community the term spectrum scarcity has been coined. RF bandwidth, the number of frequencies available to communicate information over, is a relatively fixed resource, and advanced communication systems like LTE and military communications systems consume a lot of it. As spectrum planners prepare for the next big wave of connected devices, dubbed the Internet of Things, they wonder where they will find the spectrum bandwidth they need to support these billions of new devices. Equally challenging, is the military’s desire to connect every soldier on the battlefield, while using these very same frequencies.

DARPA has chosen Barone Consulting to help develop the Spectrum Collaboration Challenge to address these critical infrastructure and military operation needs. In the tradition of other DARPA Grand Challenges, the Spectrum Collaboration Challenge provides an opportunity for experts across a wide variety of disciplines to devise groundbreaking strategies and systems and compete in open competition to win prizes, while advancing the state-of-the-art and seeding new technology communities. For the Spectrum Collaboration Challenge, the tasks are to combine distributed sensing techniques, innovative RF transmit and receive technologies, and cutting edge machine learning algorithms to create radio networks capable of learning to collaborate with other unknown radio networks, in real time.

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Is this another strategy to fight terrorism by seeing from techies and others the various ways terrorists can take every day items to create weapons?

Do you want to be a MacGyver and turn everyday household items into Decepticons? Then DARPA’s new Improv program wants you.

This sounds like a Transformers movie. Or a MacGyver episode. Heck, this could even be a precursor to Skynet and future Terminators. OK, that last one may not apply, but a new DARPA program wants people who can weaponize a toaster.

The U.S. Defense Advanced Research Projects Agency (DARPA) has launched a program called Improv and is soliciting creative minds to submit proposals on how common off-the-shelf, internet-connected items can be used as weapons.

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Developers can now see an early preview of experimental WebAssembly support in an internal Microsoft Edge build with the AngryBots demo, alongside similar previews for Firefox and Chrome. WebAssembly is a new, portable, size and load-time-efficient binary format suitable for compiling to the Web.

In the video above, a demo running in Microsoft Edge uses the preliminary WebAssembly support in the Chakra engine. The demo starts up significantly faster than just using asm.js, as the WebAssembly binaries have a smaller file size and parse more quickly than plain JavaScript, which needs to be parsed in the asm.js case.

Read more about WebAssembly on the Microsoft Edge Dev Blog.

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While many tech moguls dream of changing the way we live with new smart devices or social media apps, one Russian internet millionaire is trying to change nothing less than our destiny, by making it possible to upload a human brain to a computer, reports Tristan Quinn.

“Within the next 30 years,” promises Dmitry Itskov, “I am going to make sure that we can all live forever.”

It sounds preposterous, but there is no doubting the seriousness of this softly spoken 35-year-old, who says he left the business world to devote himself to something more useful to humanity. “I’m 100% confident it will happen. Otherwise I wouldn’t have started it,” he says.

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