Tim Beyers of The Motley Fool recently wrote, “For years, International Business Machines has been dabbling with what it calls ‘cognitive computing.’ Now the company that brought you the Watson supercomputer believes it has a chip that can think like the human brain. Called TrueNorth, the chip draws on some 5.4 billion interconnected transistors to form a vast network not unlike the neural networks found in the human brain. That’s a potentially massive breakthrough, especially for Internet-connected mobile devices that encounter new data every second. We’re likely to be years away from mass production of the TrueNorth chip. And even then, experts quoted in this article in The New York Times seem to be split on its potential impact.” Read more
Posts Tagged ‘IBM’
IBM is looking for a Watson Algorithm Developer to work in one of many locations around the United States. According to the post, “We are looking for researchers and/or algorithm developers with a background in statistics that specifically leveraging machine learning capabilities, unstructured data, natural language processing on the Watson Unstructured Information Management Architecture (UIMA) based pipeline. You will be expected to be flexible in performing whatever high priority software engineering work is necessary to achieve client goals. You’ll be responsible for ensuring the Watson software components are expertly designed, tested, debugged, verified, and ready for integration into IBM’s best-of-breed solutions that help organizations improve their business outcomes in the global marketplace.” Read more
Is SPARQL the SQL for NoSQL? The question will be discussed at this month’s Semantic Technology & Business Conference in San Jose by Arthur Keen, vp of solution architecture of startup SPARQL City.
It’s not the first time that the industry has considered common database query languages for NoSQL (see this story at our sister site Dataversity.net for some perspective on that). But as Keen sees it, SPARQL has the legs for the job. “What I know about SPARQL is that for every database [SQL and NoSQL alike] out there, someone has tried to put SPARQL on it,” he says, whereas other common query language efforts may be limited in database support. A factor in SPARQL’s favor is query portability across NoSQL systems. Additionally, “you can achieve much higher performance using declarative query languages like SPARQL because they specify the ‘What’ and not the ‘How’ of the query, allowing optimizers to choose the best way to implement the query,” he explains.
Context is king – at least when it comes to enterprise search. “Organizations are no longer satisfied with a list of search results — they want the single best result,” wrote Gartner in its latest Magic Quadrant for Enterprise Search report, released in mid-July. The report also says that the research firm estimates the enterprise search market to reach $2.6 billion in 2017.
The leaders list this time around includes Google with its Search Appliance, which Google touts as benefitting from Google.com’s continually evolving technology, thanks to machine learning from billions of search queries. Also on that part of the quadrant is HP Autonomy, which Gartner says is “exceptionally good at handling searches driven by queries that include surmised or contextual information;” and Coveo and Perceptive Software, both of which are quoted as offering “considerable flexibility for the design of conversational search capabilities, to reduce the ambiguity of results.”
In mid-July Dataversity.net, the sister site of The Semantic Web Blog, hosted a webinar on Understanding The World of Cognitive Computing. Semantic technology naturally came up during the session, which was moderated by Steve Ardire, an advisor to cognitive computing, artificial intelligence, and machine learning startups. You can find a recording of the event here.
Here, you can find a more detailed discussion of the session at large, but below are some excerpts related to how the worlds of cognitive computing and semantic technology interact.
One of the panelists, IBM Big Data Evangelist James Kobielus, discussed his thinking around what’s missing from general discussions of cognitive computing to make it a reality. “How do we normally perceive branches of AI, and clearly the semantic web and semantic analysis related to natural language processing and so much more has been part of the discussion for a long time,” he said. When it comes to finding the sense in multi-structured – including unstructured – content that might be text, audio, images or video, “what’s absolutely essential is that as you extract the patterns you are able to tag the patterns, the data, the streams, really deepen the metadata that gets associated with that content and share that metadata downstream to all consuming applications so that they can fully interpret all that content, those objects…[in] whatever the relevant context is.”
Suzanne Kattau of Silicon Angle reports, “IBM and the United Services Automobile Association (USAA), a financial services provider for the military community, today announced they have teamed up to offer IBM’s Watson Engagement Advisor in a pilot program to assist USAA members. USAA provides insurance, banking, investments, retirement products and advice to 10.4 million current and former members of the U.S. military and their families. Named after IBM founder Thomas J. Watson, IBM Watson uses natural language processing and analytics, and can process information similar to the way people think. This helps organizations to quickly analyze, understand and respond to vast amounts of Big Data. IBM’s Watson Engagement Advisor analyzed USAA’s business data and now understands more than 3,000 documents on topics exclusive to military transitions.” Read more
DATAVERSITY™ and SemanticWeb.com have announced the first Cognitive Computing Forum in San Jose, California, on August 20-21, 2014. This two-day conference was developed to help attendees understand the new world of Cognitive Analytics, Machine Learning, Deep Learning, Reasoning and next generation Artificial Intelligence. Visit www.cognitivecomputingforum.com to view speakers, the agenda, registration options, and to learn more about this unique event.
Cognitive systems are the next stage in the evolution of smarter computing and are often described as emulating the human brain. Built upon recent advances in technologies such as natural language processing, machine learning, sensors, and neural networks, and combined with massive computational power, cognitive computing promises to bring staggering improvements to applications. Among the biggest improvements are expected in predictive analytics, robot intelligence, computer-based reasoning, and human annotation. New technologies and companies are on the horizon, and these top technologies will be represented and available to attendees throughout the event.
DATAVERSITY has enlisted a world-class group of speakers to lead the in-depth presentations at the conference. Tom Mitchell, Professor of AI and Learning at Carnegie Mellon University; Chris Welty, Research Scientist at IBM T.J. Watson Research Center; Ted Dunning, Chief Application Architect at MapR, and Google Fellow R.V. Guhaare among the industry experts on the schedule.
Discover the potential of Cognitive Computing for your organization and register your staff for this event. Register two staff members from the same organization and the third is free. See details at www.cognitivecomputingforum.com on this and other discounts available now.
The inaugural Cognitive Computing Forum will be co-located with the 10th Annual Semantic Technology & Business Conference and the fourth annual NoSQL Now! conference.
If you are a member of the press and would like to attend, please request a Press Pass by contacting Samantha Taylor at email@example.com.
Read the full press release here.
IBM’s quest to build Watson into a business (see our story here) took another step last week when the vendor announced the winners of its 2014 Watson Mobile Developer Challenge to create consumer and business apps with its cognitive computing capabilities.
The winners were GenieMD, Majestyk Apps, and Red Ant, whose solutions were focused respectively on the health care, educational and retail markets. But twenty-two other companies with innovative ideas of their own also made it to the finalist stage
Katie Fehrenbacher of GigaOM recently asked, “What happens when you leverage technologies like IBM’s artificial intelligence engine Watson for clean power? The answer is the awesomely named Watt-sun project, a machine learning platform that IBM Research has quietly been building over the last year, and which is now highly accurate at predicting how cloud cover, weather and atmosphere (among many other data points) affect the way solar panel systems operate.Solar forecasting has been around as long as solar panels have been plugged into the grid. But the forecasting systems historically haven’t been all that accurate, given that so many factors can contribute to the amount of sunlight that’s able to descend from the sky and onto the solar panel and then get converted into electricity.” Read more
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