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I expect education to be taught more through VR & AI. I know as a kid, my own elementary, Jr High/ Middle School, and HS experience was pretty mundane and boring at times. By having VR & AI technologies to enable the catering/ customizing of education to the student’s needs and pace will be awesome.


Virtual reality on a Nebraska farm tour combined with a live audience made for a first-time event Tuesday at Deere & Co. headquarters, Moline.

Designed to highlight innovation behind sustainable food production, the web broadcast may have originated in Moline, but it was seen online by 37,000 high school students in the United States.

It was sponsored by the U.S. Farmers & Ranchers Alliance, St. Louis, and Discovery Education, an arm of the Discovery network.

BURLINGTON, MA—(Marketwired — Apr 5, 2016)

DNV GL, the world’s largest resource of independent energy experts and certification, together with its partners, Group NIRE and Geli (Growing Energy Labs, Inc.), will produce and operate an Internet of Energy (IoEn) platform integrating the management of up to 100 distributed energy resources (DER).

The award, DNV GL’s third from ARPA-E, is one of twelve new projects in the Department of Energy’s Network Optimized Distributed Energy Systems (NODES) program announced in December.

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I consider this as a nice interim step in maturing the digital platform environment for financial services. However, once Quantum Computing, Quantum Internet, etc. is available to the masses such as in China, etc. this solution will fail in protecting financial data and other PPI related information as recent research is showing us.

https://lnkd.in/bjcCJ-U


IBM is currently attempting to merge artificial intelligence and the blockchain into a single, powerful prototype.

With blockchain tech’s promise of near-frictionless value exchange and artificial intelligence’s ability to accelerate the analysis of massive amounts of data, the joining of the two could mark the beginning of an entirely new paradigm.

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.