Ionut used a low-res 3-D radar and mounted webcameras for an autonomously controlled car that uses AI to detect traffic lanes and curbs, along with the real-time position of the car. The cost? Just $4,000, according to Intel’s announcement of the winners. That’s tens of thousands of dollars less than Google, which reportedly relies on costly high-res 3-D radar, and luxury car companies can do it for.

But that’s not the only AI-related development in the vehicles space in recent days.

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According to a post on Google’s Research Blog, the lab will house a D-Wave Systems quantum computer. The goal is to study how quantum computing can solve some of the most challenging computer science problems, with a focus on advancing machine learning. Machine learning, as Director of Engineering Hartmut Neven writes, “is all about building better models of the world to make more accurate predictions,” but it’s hard work to build a really good model. Real-world applications that he discusses include building a more useful search engine by better understanding spoken questions and what’s on the web to provide the best answer.

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Liat Clark of Wired reports, “The European Commission is off-track and will stifle innovation with its data protection proposals because it’s only just catching up with web 2.0, a term coined in the 90s, according to James Leaton Gray, head of information policy and compliance at the BBC. He issued this warning at the Westminster eForum seminar on eprivacy, flagging up the impracticalities of the proposed reforms, pointing out that the future of computing is in your TV — and the proposals aren’t taking this into account. ‘It makes me extremely nervous,’ said Gray. ‘If you look at IPTV, you’re connected to the internet and directly to thousands of TV channels across the world. The present remote control will become a search engine — it won’t be things you type into, it will be about the semantic web, accessing and exchanging data. The idea that it’s confounded to computers and a computer-based world is a fallacy’.” continued…

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Trento, Italy, hosted a technology conference ‘ICT Days 2013’ between 20th and 23rd March. Like all such events it was interesting, dynamic and informative, but it was also quite different from the normal conferences.

It broadcast a very loud message that Semantic Technology, Big Data, and the interconnectivity of things will – without any doubt – affect everything and everyone; that these technologies will change the way everyone interacts with public services, the way in which dwindling natural resources are distributed and managed, the way citizens interact with each other, the way in which public and private bodies cooperate to support the needs of the citizen and the way in which public bodies are monitored and held accountable to the people that elected them.

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Dave McComb of Semantic Arts recently commented on Gartner’s nod to Semantic Technology. McComb writes, “Gartner has, finally, nominated Semantic Technology as one of their Top Technology Trends. We’ve seen this movie before. We know how it ends. Indeed it was Gartner themselves who named the plot trajectory: the ‘hype cycle.’ It’s worth a pause to reflect on why the hype cycle exists. The hype cycle suggests that a new technology follows a development growth path as predictable as egg to caterpillar to chrysalis to butterfly. In the hype cycle, the stages are [pictured above].” continued…

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The existence of the Semantic Computing Center will undoubtedly have a powerful and positive impact on the Southern California community in general, as well as facilitate significant advancement and progress in the Arena of Semantic Computing, from both an academic and commercial prospective. Having such a powerful consortium here in Southern California is an extremely exciting prospect and will facilitate in defining/creating Southern California as a high tech strip with respect to Semantic Computing.

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Ivan Herman of the W3C reports, “W3C published the Second Edition of the Rule Interchange Format (RIF). RIF was developed through a joint effort of members of the Business Rules, Semantic Web, and Logic Programming communities. It allows rules systems to be connected together for highly-structured knowledge to be accurately exchanged as explained in RIF Use Cases and Requirements. The Second Edition includes editorial improvements and a number of small corrections to the original specification, along with a new RIF Primer.” continued…

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Kim Zetter of Wired reports, “The suicide last month of coder and internet activist Aaron Swartz prompted an outcry about the manner in which a U.S. attorney used anti-hacking legislation to launch a heavy-handed prosecution for what many considered a minor infraction. Federal prosecutors in Boston defended their actions, saying they were only upholding the Computer Fraud and Abuse Act, under which Swartz was charged. But two lawmakers are proposing long-overdue changes to the law that would help prevent prosecutors from overreaching in their use of the law, as has occurred in a number of cases in recent years.” continued…

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Rebecca Burn-Callander of Management Today reports that Twitter has acquired Bluefin Labs for $70 million. She writes, “Twitter and TV, a match made in heaven. In fact, the social network has even released its own report entitled ‘Tune in with Twitter’, all about the burgeoning love affair between the small screen and its new ‘second screen’.  ‘The relationship between Twitter and television is strongly symbiotic,’ it says. ‘Users love talking about what is happening on TV, TV viewers love using Twitter to see other viewers‘ opinions.’ And you just have to look at the volumes of tweets generated by the Superbowl on Sunday, and the amount of 140-character dialogue dedicated to each new episode of The Undateables or Girls or My Mad Fat Diary to confirm the theory.” continued…

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The Object Management Group (OMG®) will be holding a Workshop and Information Day on Semantics at its quarterly technical meeting in Reston, VA. The event will take place on Tuesday, March 19^th and Wednesday, March 20^th at the Hyatt Regency hotel.

The event will give attendees the option to focus on the uses of semantics in three key industries: healthcare, finance and government.

“Semantic technologies are remaking financial services, healthcare, manufacturing, and even defense systems,” said Dr. Richard Soley, Chairman and CEO of OMG. “The purpose of the Semantic Information Day is to explore how semantics can be used in these industries while laying the groundwork for future semantic-based standards.”

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It won out over finalist Elsevier with its ClinicalKey solution for helping doctors and clinicians search Elsevier’s medical and surgical content smarter and faster. ClinicalKey maps content to Elsevier’s proprietary medical taxonomy, and builds relationships using a semantic framework to faster and more clinically relevant answers. Elsevier, by the way, just ended the voting for its own ClinicalKey Key Innovator Awards, with the prize being a $10,000 grant to a U.S.-based hospital, medical school or institution that has demonstrated the most innovative use of information and technology to save lives and improve patient care.

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Blackberry president and CEO Thorsten Heins with new global creative director Alicia Keys.

The new and long-awaited Blackberry 10 line from Research In Motion (RIM) makes its debut today. The company that once defined the smart phone market has a lot riding on it, and it remains to be seen if the new models debuting today will revive its fortunes. It’s already revived its name: Thorsten Heins, President and CEO, revealed at the launch today that “from this day forward, RIM becomes Blackberry.”

The two models that kick off its re-engineered approach to mobile computing are the Blackberry Q10 with a hybrid touch-screen/keyboard and the Z10 with a full touch-screen and onscreen keyboard, powered by the Blackberry 10 platform. Of the Q10, Heins said, “We built this for all those people who told us, ‘we just have to have a physical keyboard typing experience’.” Given Blackberry users’ well-known attachment to traditional keyboards, getting the onscreen keyboard right is going to be a big concern for tried-and-true Blackberry users.

As on the Blackberry Playbook before it, SwiftKey – the best-selling Android app of 2012— is reportedly behind the virtual keyboard technology on the new models. Though that vendor wasn’t named in the launch presentation during the demo of the touch-screen keyboard capabilities, the features Blackberry demonstrated pointed to the company’s leveraging the cross-platform SwiftKey software development kit for at least some of the new devices’ capabilities.

And what’s behind SwiftKey is natural language processing (NLP) and machine learning technology to speed up touch-screen typing.

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When Don Thorson and Charlie Constantini looked at the social graph – some 1 billlion connected people all sharing information at an incredibly fast pace – they saw a problem, and an opportunity. Data extraction wasn’t playing as big a role in the picture as it could, so the possibility that all those connected users out there could actually be gaining knowledge proportional to the size of the social network wasn’t being realized. How to return more value to end users? Thorson, whose career has spanned the video game, computer, Internet and communications industries and companies including Atari, Apple, Netscape, and Ribbit, says there had to be a way to “unlock what the world thinks about everything with the optimistic view that all of us are smarter than any of us.”

So was Swipp born. The startup – co-founded by CEO Thorson, Chief Swipp officer Constantini, and CTO Ramani “Nara” Narayan (both also Ribbit veterans) – and its new social intelligence platform launched yesterday. Its aim is to extract the wisdom of the crowd in a global, aggregated way with a solid data structure foundation as its starting point. Swipp’s effort to merge the worlds of social tools and knowledge tools is based on organizing data around terms or topics in what Thorson calls a “pure data” approach – not an interpreted or extracted one – allowing for data to be aggregated, displayed, and archived around a specific person, place, or thing.

So, when a consumer “swipps” – enters a topic via the web or a mobile device, adds a comment about it, and scores it so that their rating becomes part of the Swipp Index (its stock index of social intelligence) – he or she gets what Constantini calls a “one-two punch of what the world is saying and the truth.” That is, you get to see what people are saying socially about that exact topic, and the Index, which is the combined social data for each topic that can be sorted by geography, time, gender, and age. For the reference knowledge and the context behind millions of topics, Swipp leverages Freebase and its entity graph of people, places and things.

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Gregory Ferenstein recently shared his opinion on Google, semantic search, and the future of competition on the internet. He writes, “In a 2005 interview, Eric Schmidt said that, ideally, a Google search should yield only a single, perfect result. ‘When you use Google, do you get more than one answer? Of course you do,’ he told public television host Charlie Rose at the time. ‘Well, that’s a bug. We should be able to give you the right answer just once. We should know what you meant. You should look for information. We should get it exactly right.’ Fast forward to Thursday, when the Federal Trade Commission (FTC) ended its two-year antitrust investigation into the search giant. The FTC found that, contrary to claims made by Google’s detractors, there was not sufficient evidence to show Google unfairly prioritized its own products in search results over those belonging to companies that offer competing services.” continued…

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