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Face.com has launched the alpha of their new API. Now, almost any site could find faces on photos.Face.com, the company responsible for Facebook applications Photo Tagger and Photo Finder, lets you take any photo and quickly identify who is in it and where they are in the photo. This facial recognition is a boon to those tagging photos, and now Face.com is ready to bring a similar capability to the rest of the internet. May 3rd saw the launch of their new open API capable of scanning images and rapidly identifying the location, orientation, and identity of human faces. The API platform is meant for web designers who want to include a facial recognition feature on their own website. With this API, any company could let you upload a photo of yourself and find other photos of you in their database. Now in alpha testing, registering to try the API is free and very quick. Face.com, operated by Israel-based Vizi Labs, is looking to share the API with the developer community to see if the next killer application for facial recognition will arise organically. Eventually, platforms like this one may help your face become an access point to all the digital data about you on the web.

Read more at singularityhub.com

This agile model (which is now well known in Silicon Valley and in the software engineering world) has transformed software.  It has many benefits:  it reduces the long cycle times that create risk; it enables engineers to take advantage of the fact that requirements change quickly; and it honors the fact that people perform best when they work on small projects they can finish quickly.

Agile is also built on the understanding that people learn in small chunks - so while it may in fact take a year or two to build a highly complex website, no person needs to try to understand the entire engineering program in advance.  And as the image on the right shows, daily work becomes a part of a bigger project in a continuous, dynamic process.

Look at where Agile fits in Management and HR:

Those freaked out by facial recognition technology have fresh fodder: a study from Carnegie Mellon University in which researchers were able to predict people’s social security numbers after taking a photo of them with a cheap webcam.

For those participants who had date of birth and city publicly available on their account, the researchers could predict a social security number (based on the work from their 2009 study). The researchers sent a follow-up survey to their student participants asking them whether the first five digits of the social security number their algorithm predicted was correct. One problem with this part of the study was that “60% of the CMU students were foreign and don’t have social security numbers,” said Acquisti. Though researchers were still able to tell them all about their interests and favorite movies based on what they got from their Facebook profile pages.

“Context-awareness can make computing devices more responsive to individual needs and help to intelligently personalize apps and services. Using self-learning mechanisms, sensor inputs, and data analytics, Intel research teams are engaged in a number of projects that promise to take machine learning beyond the lab to practical, real-world applications.”

Most interestingly, the site goes into some depth on Intel’s current projects that explore the boundaries of context-aware computing:

Online Semi-Supervised Learning and Face Recognition: Use face recognition in place of a password to log in to any protected site. The self-learning techniques being refined by this project can be adapted to many areas of context awareness.

Nuance Communications (NUAN) CEO Paul Ricci must have taken copious notes in class because his company's recent purchase of Swype has catapulted it from a voice recognition company to an input organization.

I think this is a big move for the company because it expands what it, as an entity, does.

To "swype," a person traces across keyboard letters in a continuous motion to comprise a word. Swype says its input method lets people do more than 40 words a minute, and says the application is meant to work across not just phones and tablets, but also game consoles, kiosks, televisions and other screens.

It is interesting to see gamification now being applied in a marketing/website/community context, because many marketers and community managers have already been using these techniques to build engagement for several years.

there are many ways to incorporate game mechanics into a community and which ones are appropriate depend a lot on the make-up of your community audience and what the ultimate goals for the community are.

my belief is that you need to gradually introduce new elements into a community and make sure that any new features are fully explained and documented.

Third Eye, a new free Android game from Viewdle, uses a combination of augmented reality and facial recognition technology to make a whole new kind of mobile game.

Basically, everybody is either a Vampire or a Slayer and this "relic"--the Third Eye--can tell you which category you fall into by reading your "faceprint." You might be familiar with Viewdle's other Android app, SocialCamera, which uses facial recognition to automatically tag photos of your friends. The objective of the first part of Third Eye is to build your army and establish alliances. The second and third parts, which will come out later this year, pits your assembled clans against one another in all-out war.

Next, you'll want to start recruiting people for your army. Third Eye uses the same facial algorithm on your friends (or random strangers, if you're bold) to identify if they are a vampire or a slayer. You simply hold your phone up toward their face and the app will scan it to determine their fate. If they're a slayer and you're a vampire, you can either "Feed" aka suck their blood or "Ghoulify" and make them join your army.

Through gesture recognition techniques we detect different kind of fingers-touch and associate them with different sounds. In the video we used two different audio synthesis techniques: - physic modelling, which consists in generating the sound by simulating physical laws; - concatenative synthesis (audio mosaicing), in which the sound of the contact microphone is associated with its closest frame present in a sound database. To put it another way, the system is transforming the vibrations transmitted from touch through a rigid body into waveforms that a computer can, in real time, recognize and either transmute into audible sound or use as a triggering mechanism for other sounds. It's an ingenious approach, especially because Zamborlin has made the system clever enough to recognize the sound of particular gestures, so that the interface can accomplish more than just triggering actions when it "hears" a tap.

will touch interfaces of the future rely on sounds as well as capacitance? Perhaps sound would be a cheaper, more-durable option for certain kinds of interfaces, making touch interactions all the more ubiquitous.

Transaction Systems Architects, Inc. (Nasdaq: TSAI), a leading global provider of enterprise e-payments and e-commerce software, announced today that revenue for the third quarter ended June 30, 2004 was $72.5 million, a decrease of two percent over the same quarter last year.

Net income was $18.7 million, or $.49 per diluted share, which includes a net one-time tax benefit of $10.6 million, or $.28 per diluted share. This net one-time tax benefit is attributed primarily to certain tax restructurings and associated tax elections related to the Company's MessagingDirect Ltd. subsidiaries. Net income of $18.7 million, or $.49 per diluted share, compares to a net loss of $1.9 million, or a net loss of $.05 per diluted share, which included a goodwill impairment charge of $9.3 million, for the third quarter of fiscal 2003.

For the third quarter of fiscal 2004, revenues were comprised of software license fees of $37.5 million, maintenance fees of $23.1 million and services fees of $11.9 million. The Company's recurring revenue was $45.5 million, or 63 percent of revenue, and non-recurring revenue was $27.0 million, or 37 percent of revenue. Recurring revenue consisted of monthly license fees of $20.2 million, maintenance fees of $23.1 million and facilities management fees of $2.2 million.

In the past 20 years, a lot of research has been done towards visual information retrieval on pictures and video files. Not all of it has been successful. But on the last years, the quality of these visual search engines has reached levels that are beginning to be acceptable for eDiscovery, compliance, law enforcement and intelligence applications.

More and more electronically stored information (ESI) is non-text based or does not contain any searchable text components: sound recordings, video and pictures are growing exponentially in size and more and more collaborative and social network applications support (only) these information formats.

In addition, a whole generation is growing up that no longer uses written communication forms such as letters or emails: they only use social networks and other new media forms for communication and collaboration.

Rainier , director of the Pew Internet & American Life Project, looks ahead and makes a lengthy prediction of where we’re headed via the internet. As tempting as it was to clip the whole thing, I’ve resisted which means you will want to follow the link to read the article.

Themes:Cognitive capacities will shift (memorization)New literacies will be required. Fourth “R” is retrieval… “extreme Googlers”Tech isn’t the problem; people’s inherent character traits is the issuePerformance of information markets is a big unknown especially in the age of social media and junk information … Google will improve.Innovation ecosystem will change so radically (bandwidth/processing) that it’s hard to forecastBasic trends are evident — “the internet of things” and “sensors” and “mobile” and “location-based services” and “3D” and “speech recognition” and “translation systems”Law/regulations to protect privacy even though more disclosure required“Workarounds” to provide a measure of anonymityConfidentiality and autonomy will replace yearning for anonymityRise of social media is as much a challenge to anonymity as authentication requirements. Reputation management and information responsibility will emerge. Significantly more responsive govt, biz, NFP (71%/72%) v (26/26) [responses - anonymous, not-anonymous] Tide too strong to resist – pressure for transparency is powerfulData wil be the platform for changeEfficiency and responsiveness aren’t the same thingWe’re reading and writing more than our parents – participation breeds engagementNature of writing has changed (public). Quality will get better due to feedback and flamersReading and writing will be different in 10 years; screen literacy will become importantRead more at wiredpen.com

The power of social media to burrow dramatically into our everyday lives as well as the near ubiquity of new technologies such as mobile phones has forced us all to conceptualize the digital and the physical; the on- and off-line.

And some have a bias to see the digital and the physical as separate; what I am calling digital dualism. Digital dualists believe that the digital world is “virtual” and the physical world “real.” This bias motivates many of the critiques of sites like Facebook and the rest of the social web and I fundamentally think this digital dualism is a fallacy. Instead, I want to argue that the digital and physical are increasingly meshed, and want to call this opposite perspective that implodes atoms and bits rather than holding them conceptually separate augmented reality.

geo-tagging (think Foursquare or Facebook Places), street view, face recognition, the Wii controller and the fact that sites like Facebook both impact and are impacted by the physical world to argue that “digital and material realities dialectically co-construct each other.” This is opposed to the notion that the Internet is like the Matrix, where there is a “real” (Zion) that you leave when you enter the virtual space (the Matrix) -an outdated perspective as Facebook is increasingly real and our physical world increasingly digital.

The future of mobile gaming will merge the virtual and real worlds.

Unlike many augmented reality systems, Smart AR does not use satellite tracking or special markers to figure out where to overlay a virtual object. Instead, it uses object recognition. This means it works where GPS signals are poor or nonexistent, for example, indoors. The markerless system is more difficult to pull off, but it allows many more everyday objects to be used.

Sony has dabbled with the technology before, using two-dimensional barcodes known as CyberCodes as markers for tracking objects.

many ways mobile technologies are derivative of their desktop brethren. Your iPhone's e-mail app is like the e-mail client on your desktop, for example. The mobile world is the desktop world in miniature, a "lite" version. But the mobile world is no longer just following; it's leading.

we can expect to see certain aspects of desktop and laptop operating systems start imitating the little upstarts that had initially imitated them.

"It's very likely that PC operating systems will be affected by mobile devices' operating systems—and more broadly, that the lines between the two will increasingly blur," says Michael Dahlin, a professor of computer science at the University of Texas, who has expertise in operating systems. "Things have evolved to the point today where the difference between the smart-phone OS and the laptop and desktop OS is narrowing—and really already pretty narrow in terms of capability and core architectures," he

Do cell phones cause brain cancer? It may be too early to say for sure. The latency period or time between exposure and recognition of a tumor is around 20 years, sometimes longer. And, cell phone use in the U.S. has been popular for only  around 15 years. Back in 1996, there were 34 million cell phone users. Today there are 9-10 times as many. Keeping that in mind, it is worth taking a more detailed look at the results of Interphone, a multinational study designed to try to  answer this question. The headline from this study was there was little or no evidence to show an association between cell phones and cancer. Though, if you went to the appendix of the study, which interestingly was available only online, you found something unsettling. The data showed people who used a cell phone 10 years or more doubled the risk of developing a glioma, a type of brain tumor. And, across the board – most of the studies that have shown an increased risk are from Scandinavia, a place where cell phones have been popular since the early 1990s. For these reasons, the whole issue of latency could become increasingly important.

Cell phones use non-ionizing radiation, which is very different from the ionizing radiation of X-rays, which everyone agrees are harmful. Non-ionizing radiation won’t strip electrons or bust up DNA. It's more like very low power microwaves. Short term, these microwaves are likely harmless, but long term could be a different story. Anyway, who likes the idea of a microwave, even a low-powered one, next to their head all day?

And, what about kids?

But points and badgest are a very basic “carrot” approach. Pink says that in the main carrots and sticks don’t work except for basic repetitive tasks where there is little intrinsic motivation.

For anything involving knowledge or creativity, what matters is: Autonomy – deciding how and when to do things Mastery – the reward in gaining a skill and learning Purpose – the sense that the task is part of a greater goal.

What concerns me is that points and badges are none of the above, they are just  extrinsic motivation.

Are mobile payments the new speech recognition technologies?

One of the bigger stories in mobile this year has been the growing investment and hype behind the idea of using one’s mobile phone as a method of payment, but it’s pretty clear that the details of how any one company or organization will build a mobile-payments system are still very much up in the air.

a sizable number of people and companies believe that the smartphone can be a natural evolution of the credit card in just a few years.