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A group of computer security experts want to turn that model on its head with Wickr, a new mobile app that they hope will set a new standard for how personal data is disseminated. Wickr’s motto: The Internet is forever. Your private conversations don’t need to be. The app, which became available in Apple’s iTunes store on Tuesday, lets users transmit texts, photos and videos through secure and anonymous means previously reserved for the likes of the military and intelligence operatives. Text messages, photos and videos sent via Wickr are secured using military-grade encryption and never stored. The service camouflages user names and other identifiable information, such as a phone’s identification number, by appending several random digits to each value, then mashing them up with a mathematical algorithm, a process security experts refer to as “salting” and “hashing.” Wickr hashes and salts that information several times and only stores the encoded result.

Gilt Taste, the company’s food platform, is to release a free iPad-only app, also called Gilt Taste, on Wednesday. Its 140 recipes are presented straightforwardly — all text, one recipe step on each page, no videos — except for one game-changing feature. Using the iPad’s built-in camera, which tracks your hand movements, you can turn the pages of the recipe without touching the tablet. Lift your hand in front of the screen, brush it from right to left (as if turning the page of a book), and the screen flips to the next step. Wave your hand from left to right, and it goes back to the last step.

Since the start of the year, a team of researchers at Carnegie Mellon University — supported by grants from the Defense Advanced Research Projects Agency and Google, and tapping into a research supercomputing cluster provided by Yahoo — has been fine-tuning a computer system that is trying to master semantics by learning more like a human. Its beating hardware heart is a sleek, silver-gray computer — calculating 24 hours a day, seven days a week — that resides in a basement computer center at the university, in Pittsburgh. The computer was primed by the researchers with some basic knowledge in various categories and set loose on the Web with a mission to teach itself.

The Never-Ending Language Learning system, or NELL, has made an impressive showing so far. NELL scans hundreds of millions of Web pages for text patterns that it uses to learn facts, 390,000 to date, with an estimated accuracy of 87 percent. These facts are grouped into semantic categories — cities, companies, sports teams, actors, universities, plants and 274 others. The category facts are things like “San Francisco is a city” and “sunflower is a plant.”

The number of people using location-based services like Foursquare and Gowalla remains small, and does not appear to be growing, according to a report published Thursday by the Pew Research Center’s Internet & American Life Project.

On any given day, 1 percent of adult Americans use a service that allows them to share their location, according to the report. Four percent of adult Internet users use location-based services at all, down from 5 percent of Internet users who said they used such services in May. Only 6 percent of people who use social networking sites also used location-based services.

The Pew report notes how quickly technologies like these can go from obscurity to mainstream use. In August 2008, for example, 6 percent of adults used status-updating services like Twitter. By September 2010 that proportion had quadrupled.