Dean Evans of Tech Radar reports, “How, for example, does a computer know what a car looks like? We just know. We’ve built up that knowledge over time by observing lots of cars. Consequently, we know that not all cars look the same. We know that they come in different shapes, sizes and colours. But we can generally recognise a car because they have consistent and definable elements – wheels, tyres, an engine, windscreen and wing mirrors, they travel on roads, and so on. Could a computer learn all this information in the same way? A team working at Carnegie Mellon University in the United States believes so. It has developed a system called NEIL (Never Ending Image Learner), an ambitious computer program that can decipher the content of photos and make visual connections between them without being taught. Just like a human would.” Read more
Posts Tagged ‘AI’
Scott Raynovich of CMS Wire recently wrote, “Boston Dynamics, Nest and DeepMind. In the past month, Google has gone on yet another acquisition binge, spending at least $4 billion on a trio of startups that seem only loosely connected — robotics, home automation and artificial intelligence, respectively. Is there a central strategy, and what does it mean to the future of Google, the Internet of Things and Customer Experience? Based on a pattern of deals and feedback from leading experts, it appears Google believes the future is heavily connected to data gathering, machine learning and automation, which all of these companies have in common. ‘In a broader pattern, if Google is focusing on artificial intelligence (AI) and machine learning, how is this kind of semantic understanding going to help us make decisions faster and do our jobs,’ said David Schubmehl, a research director with International Data Corp. (IDC).” Read more
Mark van Rijmenam of BigData-Startups.com recently wrote, “We have all heard the sentence ‘This call may be recorded for quality and training purposes’ when you call the call-centre of a company. Although some calls are indeed used for training purposes, more often they are used to improve natural language processing algorithms. The data from these calls help to create statistical models of phrases and words to improve the automated services to customers calling. This Natural Language Processing is gaining enormous traction and has massive potential for organisations.” Read more
Will Oremus of Stuff.co.nz writes, “Google just bought a fearsome fleet of robots. The company confirmed a New York Times report that it has acquired Boston Dynamics, the Massachusetts-based maker of such noted mechanical beasts as BigDog, Atlas, Petman, Cheetah and Wildcat. The company’s robots are among the world’s most advanced two- and four-legged machines. Some are humanoid, while others resemble predatory animals. Most have been developed under contract with military agencies, including the Defense Advanced Research Projects Agency, or DARPA. What might Google want with an army of military robots? At first gasp, the answer might seem to be, ‘conquering the world’. But that doesn’t seem to be the goal – at least, not in a military sense.” Read more
The Plante Moran 2013 Innovation Survey that was recently released doesn’t have anything specifically to do with semantic, Linked Data, AI, machine learning or related technologies. But it’s hard to ignore their place in innovation, which 94 out of 100 business leaders responded is a priority for them.
The survey reported that more than 90 percent of leaders saw innovation as being important to sustainability and growth; 85 percent recorded that it matters to new or improved processes; and more than 70 percent saw its value for improved products or services, to name just a few critical areas. Most readers of this blog likely will recognize that such outcomes are often realized by companies that follow semantic and other smart and innovative technologies down paths of innovation to new offerings and other key returns (Google anyone?).
Companies still experience constraints on making innovation happen, though, one of them being lack of access to new technology, according to the survey. But the report also finds that collaboration was considered a possible jumpstarter for innovation among three out of four of the respondents.
The holiday shopping window is starting to close. How far along have you gotten?
To help out, we’ve compiled a list of some gift-giving ideas with a little bit of smarts to them.
Anki DRIVE: Artificial intelligence comes to the video game world. This one’s getting a lot of buzz – some are even heralding it as the season’s hottest toy. TIME Magazine has put it on its Top 25 innovations list, too. Each car, the company says, thinks for itself. The recipient of your gift can control it with an iPhone, iPod Touch, iPad or iPad Mini to go up against friends or AI-enabled opponents, but the car can drive itself and make its own decisions as it does so, becoming more sophisticated the more you drive and even deciding to take out players. The game comes with a physical track, two intelligent cars and the downloadable Anki DRIVE app. Check out the video here.
Bianca Bosker of the Huffington Post reports, “Facebook’s new AI team made 1.2 trillion comments and status updates searchable. Our more than 1 trillion social connections can now also be mined with queries like, ‘friends of friends who are single in San Francisco.’ On Wednesday, Zuckerberg made clear these kinds of cute searches are just the appetizer. He wants people to be able to ‘easily ask any question to Facebook and get it answered.’ (Emphasis added.) This first requires getting to know us better. Read more
Russell Brandom of The Verge recently wrote, “Microsoft co-founder Paul Allen has been pondering artificial intelligence since he was a kid. In the late ’60s, eerily intelligent computers were everywhere, whether it was 2001′s HAL or Star Trek‘s omnipresent Enterprise computer. As Allen recalls in his memoir, ‘machines that behaved like people, even people gone mad, were all the rage back then.’ He would tag along to his father’s job at the library, overwhelmed by the information, and daydream about ‘the sci-fi theme of a dying or threatened civilization that saves itself by finding a trove of knowledge.’ What if you could collect all the world’s information in a single computer mind, one capable of intelligent thought, and be able to communicate in simple human language?” Read more
John Cook of GeekWire recently reported, “Perhaps no one has been more synonymous with the startup ethos at the University of Washington than computer science professor Oren Etzioni, a mainstay on campus for more than two decades and an inspiration for budding entrepreneurs in academia. An expert in search, data mining and machine learning, Etzioni’s technologies have formed the basis of startup companies such as Netbot (acquired by Excite), Farecast (acquired by Microsoft) and Decide.com (backed by Madrona, Maveron and others). Now, Etzioni, who earned his PhD in computer science from Carnegie Mellon University, is moving on from academia after nearly 30 years.” Read more
Olivia Solon of Wired.co.uk recently drew attentions attention to startup Wibbitz, calling it a “Summly for video.” In five to ten seconds, she reports, the technology “transforms any article into a one to two-minute video, extracting the salient points from the text, pulling in images and infographics and adding a voiceover.”
Wibbitz, Solon notes, “uses algorithms to extract text from an article, then analyses it using natural language processing and artificial intelligence to understand what the text is taking about. It then summarises the article, and hunts for relevant imagery through various image licensing sites, including Getty, Reuters and AP. It also adds in infographics based on a number of fixed templates and then converts the summarised text into a voiceover (users will soon be able to select one of four different voices).”
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