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eOnline reports: A new app will allow total strangers to ID you and pull up all your information, just by looking at you and scanning your face with their Google Glass. The app is called NameTag and it sounds CREEPY. The “real-time facial recognition” software “can detect a face using the Google Glass camera, send it wirelessly to a server, compare it to millions of records, and in seconds return a match complete with a name, additional photos and social media profiles.” The information listed could include your name, occupation, any social media profiles you have set up and whether or not you have a criminal record (“CRIMINAL HISTORY FOUND” pops up in bright red letters according to the demo).

Since the NSA is tapping into all of our digital communications, it is not unreasonable to assume that all of the info from your digital glasses – yup, everything – may be recorded by the spy agency. Are we going to have millions of mini NSAs walking around recording everything … glassholes? It doesn’t help inspire confidence that America’s largest police force and Taser are beta-testing Google Glasses. Postscript: I love gadgets and tech, and previously discussed the exciting possibilities of Google Glasses. But the NSA is ruining the fun, just like it’s harming U.S. Internet business.

On the 21st floor of a high-rise hotel in Cleveland, in a room full of political operatives, Microsoft’s Research Division was advertising a technology that could read each facial expression in a massive crowd, analyze the emotions, and report back in real time. “You could use this at a Trump rally,” a sales representative told me. At both the Republican and Democratic conventions, Microsoft sponsored event spaces for the news outlet Politico. Politico, in turn, hosted a series of Microsoft-sponsored discussions about the use of data technology in political campaigns. And throughout Politico’s spaces in both Philadelphia and Cleveland, Microsoft advertised an array of products from “Microsoft Cognitive Services,” its artificial intelligence and cloud computing division. At one exhibit, titled “Realtime Crowd Insights,” a small camera scanned the room, while a monitor displayed the captured image. Every five seconds, a new image would appear with data annotated for each face — an assigned serial number, gender, estimated age, and any emotions detected in the facial expression. When I approached, the machine labeled me “b2ff” and correctly identified me as a 23-year-old male.

“Realtime Crowd Insights” is an Application Programming Interface (API), or a software tool that connects web applications to Microsoft’s cloud computing services. Through Microsoft’s emotional analysis API — a component of Realtime Crowd Insights — applications send an image to Microsoft’s servers. Microsoft’s servers then analyze the faces and return emotional profiles for each one. In a November blog post, Microsoft said that the emotional analysis could detect “anger, contempt, fear, disgust, happiness, neutral, sadness or surprise.” Microsoft’s sales representatives told me that political campaigns could use the technology to measure the emotional impact of different talking points — and political scientists could use it to study crowd response at rallies.

Facial recognition technology — the identification of faces by name — is already widely used in secret by law enforcement, sports stadiums, retail stores, and even churches, despite being of questionable legality. As early as 2002, facial recognition technology was used at the Super Bowl to cross-reference the 100,000 attendees to a database of the faces of known criminals. The technology is controversial enough that in 2013, Google tried to ban the use of facial recognition apps in its Google glass system. But “Realtime Crowd Insights” is not true facial recognition — it could not identify me by name, only as “b2ff.” It did, however, store enough data on each face that it could continuously identify it with the same serial number, even hours later. The display demonstrated that capability by distinguishing between the number of total faces it had seen, and the number of unique serial numbers. Photo: Alex Emmons

With his shaggy, sandy blond hair and a 5-o'clock shadow, Mark Rolston, the creative director for Frog Design, has studied technology for the better part of two decades. As he sees it, smartphones are just about out of evolutionary advances. Sure, form factors and materials might alter as manufacturers grasp for differentiating design, but in terms of innovative leaps, Rolston says, "we're at the end of gross innovation for smartphones." That isn't to say smartphones are dead or obsolete. Just the contrary. As Rolston and other future thinkers who study the mobile space conclude, smartphones will become increasingly impactful in interacting with our surrounding world, but more as one smaller piece of a much large, interconnected puzzle abuzz with data transfer and information. We'll certainly see more crazy camera software and NFC features everywhere, but there's much, much more to look forward to besides.

You may have never given two thoughts to the sensors that come on you smartphone. They don't mind. They're still there anyway, computing data on your phone's movement and speed, rotation, and lighting conditions. These under-appreciated components -- the gyroscope, accelerometer, magnetometer, and so forth -- are starting to get more friends in the neighborhood. Samsung, for instance, slipped pressure, temperature, and humidity sniffers into the Galaxy S4. They may not be the sexiest feature in your phone, but in the future, sensors like accelerometers will be able to collect and report much more detailed information.

If you've made it here, you'll start seeing a general theme: in the forward-looking smartphone environment of our future, our devices are anything but isolated. Instead, smartphones will come with more components and communications tools to interact more than ever before with people and other devices. We already see some communication with Wi-Fi Direct, Bluetooth, and NFC communications protocols, plus newcomers like the Miracast standard. In short, the kind of innovation we see in the mobile space may have more to do with getting your smartphone to communicate with other computing devices in the ecosystem than it will have with how many megapixels or ultrapixels your camera lens possesses or what kind of leather was used to finish the chassis.

Static blocks of text like the one you’re looking at now are an antiquated and inefficient way to get words into your head. That’s the contention of Boston-based startup Spritz, which has developed a speed-reading text box that shows no more than 13 characters at a time. The Spritz box flashes words at you in quick succession so you don’t have to move your eyes around a page, and in my very quick testing it allowed me to read at more than double my usual reading pace. Spritz has teamed up with Samsung to integrate its speed reading functionality with the upcoming Galaxy S5 smartphone. The written word, after 8,000 or so years, is still an extremely effective way to get a message from one mind into the minds of others. But even with the advent of the digital age and decades of usability work, font and layout development, we’re still nowhere near optimal efficiency with it yet.