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The sensors inside modern smart phones present a range of security threats. An attacker who compromises a phone can, for example, track the owner's location by GPS, use the camera to see the phone's surroundings, or turn on its microphone to record conversations. At a conference in Chicago on Thursday, a group of computer researchers from Georgia Tech will report on another potential threat. The researchers have shown that the accelerometer and orientation sensor of a phone resting on a surface can be used to eavesdrop as a password is entered using a keyboard on the same surface. They were able to capture the words typed on the keyboard with as much as 80 percent accuracy.

Although Siri is limited in what it can do, what it does do, it does well. And based on my experiences with Siri so far, I think it illustrates what I think of as the “invisible interfaces” of future connected devices. Admittedly, that sound like a bold claim, but the reality is this: Thanks to the “Internet of Things,” more devices are gaining connectivity that makes them smarter and more useful. At the same time, computing interfaces haven’t changed all that much in the past several decades. They’re going to have to, however, as we can’t have a multitude of different interfaces across a myriad of connected devices in this new world.

The key for potential success here is in Siri’s uncanny ability to understand not just natural language input, but also context. This is great for smartphones where we have so much personal data such as contact names, addresses, phone numbers and digital music tracks. Even better is when Siri works with multiple apps or services on our handsets; tying them together through a simple command. “Remind me to take out the trash when I get home,” for example, leverages both the Reminders application and the integrated GPS radio of an iPhone.

“Close the windows and turn on the air conditioning if the outside temperature rises above 85 degrees,” could be a real-world example in just a few years time.

As of late, Google Wallet and Near Field Communications have taken a lot of flak from cynics, naysayers and glass-half-empty types.

NFC will soon be integrated into nearly facet of personal finance and revolutionize the landscape of travel consumerism as we know it.

NFC has quickly become a widely covered topic on tech blogs, finance sites and news sources across the web, so we won’t spend too much time on the basics.

Computer-maker NEC calls them the latest in eyewear for the linguistically challenged. The TeleScouter integrates spectacle frames with a personal mini-computer and a head-mounted display unit. The result is a portable language translator. TeleScouter allows two or more people with no language in common, to hold a conversation. One user will begin the conversation in their native language and, with the press of a button send the recorded words to a remote server where they are analyzed and translated. The server then sends the translation to the receiving user who can read the words in their own language on the head-mounted display unit. While the technology is still in its developmental stages, NEC says a faster unit is on the horizon and that the hope is to break down language barriers. [Kotaro Nagahama, NEC Manager]: "With this you don't have to think about having to translate yourself your own words. All you have to do is speak in your own words and that gets communicated to the other person and you don't have to do any thinking. You just have you use your own language. " But TeleScouter will not be cheap. When it reaches the market it'll sell for around $83,000 although the price will come down over time. If all goes according to plan, NEC says foreign tourists will one day, with great confidence be able to tell their hosts "I see what you're saying."

As social media and social networks become a larger part of our online lives, the race to become the default identity platform for the social web continues to intensify, with Facebook, Twitter and Google all hoping to control — and profit from — the ways that users connect to various services. Although Facebook and Google both have massive resources to deploy in this battle, venture capitalist Mark Suster of GRP Partners argues that Twitter stands the best chance of becoming the go-to identity player for many users, and there are some pretty compelling reasons to believe he’s right.

While Facebook recently added an asymmetric feature called “Subscribe,” Suster says that Twitter is still the preferred network for this kind of behavior, and I think he is probably right: So it is now very common for news organizations to announce on the air, “to follow my updates please follow me on Twitter at @myname. Twitter has become one of our major online identities and that is becoming mainstream in ways that people aren’t really talking about. Nearly every day now I see public figures telling people their Twitter identity instead of Facebook, email or other forms of identity.

To take just one recent example, a Mexican soccer team put the Twitter handles of all of its players (and of the team itself) on the backs of their jerseys instead of their actual names, to make it easier for fans to tweet about them during games.

Attention smartphone users: the recent launch of the first two satellites for Europe’s Galileo global navigation satellite system (GNSS) could make things a lot more interesting in about four years.

Galileo will deliver real-time positioning accuracy down to one meter range, compared to 10 meters for GPS, the European Space Agency (ESA) states, and it plans to give non-European users access.

Meanwhile, Apple’s new iPhone 4S has a chip that will be able to access Glonass (the Russian version of GPS), Engadget reports. Other manufacturers, including Qualcomm, Samsung Electronics and Texas Instruments, will also support Glonass — and Galileo as soon as it is operational — with new chipsets and software able to receive and integrate all three main GNSS systems.

Cloudera founder Christophe Bisciglia launched a new company today called Odiago, whose WibiData product utilizes Hadoop and HBase to let businesses make the most of online user data. The details around investors (Eric Schmidt, Mike Olson and SV Angel) and Bisciglia’s history at Cloudera and Google have made the rounds already, but what’s not as widely known is how WibiData actually works.

Here’s how Monash describes the essence of WibiData: WibiData is designed for management of, investigative analytics on, and operational analytics on consumer internet data, the main examples of which are web site traffic and personalization and their analogues for games and/or mobile devices. The core WibiData technology, built on HBase and Hadoop,* is a data management and analytic execution layer. That’s where the secret sauce resides. Also included are:

Mobile handsets have a bad habit of oversharing with the networks they operate on, with some handsets being chattier than others. This signaling data, as it’s known in the industry, can congest mobile networks, and Traffix Systems, a six-year-old Israeli company wants to help operators solve that problem.

The company said Wednesday that it raised a first round of $7 million led by Bessemer Venture Partners to help it expand operations. Ben Volkow, the CEO, says that 60 percent of operators already have some Traffix gear on their networks to address and manage signaling traffic, but more operators are interested. As more operators began deploying LTE networks, which add to the complexity of signaling traffic and to the overall network, Volkow decided that his previous strategy of growing the business through bootstrapping it no longer made sense. “We needed to scale and grow the business,” he said in an interview.

Signaling traffic is the data the phone or device sends out to the network to tell it where it is, what is it is doing, how much it is allowed to do based on the subscriber’s plan and figure out when to hop to the next base station. Chetan Sharma, a wireless analyst, issued a report last year noting that network congestion is generally caused by two big things: (1) signaling traffic caused by smartphones and superphones and (2) peak data traffic caused by data cards and embedded laptops.