“Apple's… Exclusive Supply Chain Of Advanced Technology [Is] Literally Years Ahead Of Anyone Else On The Planet” Multiple Models for Social Media Businesses: Tech News « Twitter’s move to a more “centralized,” broadcast-media-style model, and Facebook’s shift away from that approach, spark some interesting thoughts about what it takes to succeed in social media. As I discuss in a post at GigaOM Pro, the strategy a company chooses will align it with a particular revenue model. With a site-centric strategy, you’re in the eyeball business. That means you’re either selling to your audience or selling the audience itself (to advertisers, marketers, retailers). Either way, a social media site needs a big enough audience — even if it’s within a desirable, targetable subset — to attract advertisers or produce profitable volumes of sales. Both Twitter and Digg are redesigning their sites to appeal more to broad audiences: They recognize that there are far more content consumers than creators.
At the same time, they both need to service the content creators or broadcasters. Read the full post here. Anatomy of a Large-Scale Social Search Engine. How Google’s Algorithm Rules the Web | Magazine. Want to know how Google is about to change your life? Stop by the Ouagadougou conference room on a Thursday morning. It is here, at the Mountain View, California, headquarters of the world’s most powerful Internet company, that a room filled with three dozen engineers, product managers, and executives figure out how to make their search engine even smarter. This year, Google will introduce 550 or so improvements to its fabled algorithm, and each will be determined at a gathering just like this one. The decisions made at the weekly Search Quality Launch Meeting will wind up affecting the results you get when you use Google’s search engine to look for anything — “Samsung SF-755p printer,” “Ed Hardy MySpace layouts,” or maybe even “capital Burkina Faso,” which just happens to share its name with this conference room.
You might think that after a solid decade of search-market dominance, Google could relax. Still, the biggest threat to Google can be found 850 miles to the north: Bing. Apps is the new Web: sowing the seeds for Web 3.0. [With the phenomenal success of mobile apps, the world of content is migrating from web 2.0 to apps as the new format for creating, packaging, discovering, paying and interacting with information. Andreas Constantinou analyses how apps are the evolution of Web 2.0 and where this phenomenon will lead us next] Billions of downloads.
That’s how the success of software platforms is measured today. And while downloads is not a currency (it does not necessarily translate into revenues), it does create plenty of free buzz for software platforms. This is the world of apps. But what is an app really? Loading ... Despite the fragmented nature of the app economy, we ‘re reaching a milestone at the end of 2010: more than 500,000 mobile apps will become available for Apple, Android, BlackBerry, Java ME, BREW, Symbian and Windows Phone devices in total. The number is only a fraction of the big picture; what apps have accomplished is an unprecedented speed of innovation and a diversity of use cases. In search of the perfect viral social app - Laurent Kretz on Posterous. The machine age. Watson will compete against “Jeopardy!” Champions Ken Jennings and Brad Ritter tomorrow through Wednesday. (AP) Forty years ago this December, President Nixon declared a war on cancer, pledging a “total national commitment” to conquering the disease.
Fifty years ago this spring, President Kennedy declared a space race, promising to land a man safely on the moon before the end of the decade. And 54 years ago, Artificial Intelligence pioneer Herbert Simon declared that “there are now in the world machines that think” and predicted that a computer would be world chess champion within 10 years. How have these bold efforts fared? But the truth is more complex.
Artificial intelligence turned out to be more like cancer research than a moon shot. . * Spam filtering programs using A.I. learning and classification techniques correctly identify over 99.9% of the 200 billion spam e-mails sent each day. On the way to these achievements, the A.I. community learned several surprising lessons. MAN vs.