Aviva Rutkin of New Scientist recently wrote, “Rumours have been circulating that the Chinese search engine is developing a bike that could drive itself through packed city streets. The project isn’t ready to be launched yet but Baidu confirmed it is exploring the idea.The news is intriguing, and not just because self-navigating bikes would be cool. Research into autonomous vehicles is yet another way that Baidu is following Google’s model of pushing at the boundaries of artificial intelligence.” Read more
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
Digital Reasoning’s Synthesys machine learning platform (which The Semantic Web Blog initially covered here) this summer should see its Version 3.9 release. The update will build on the 3.8 release, which delivered with its Glance user interface the discovery and investigative capabilities that help information analysts in finance, intelligence and other compliance- and security-sensitive sectors react to findings in user profiles of interest and their associated relationships, activities and risks. Version 3.9 takes on the proactive part of the equation — early risk detection — via its Scout user interface.
Last year, the company honed in on compliance use cases ranging from insider trading to money laundering with Version 3.7 of Synthesys (covered here). There, the technology for discovering the meaning in unstructured data at scale, highlighting important entities in context, was applied to email communications for organizations such as financial institutions that have to be on the lookout for conversations that cross compliance boundaries.
Reed Elsevier is looking for a Principal Technology Researcher in Philadelphia, PA. According to the post, “You will bring demonstrable experience in software development using a variety of programming languages, data management tools (SQL and No-SQL databases, full-text search engines, XML stores, and/or RDF triple stores, etc.), and toolkits for text processing, ontology development, image processing, statistics, and/or machine learning… You are knowledgeable about Unicode, can look at the output of natural language processing tools and mark the grammatical errors being made, and have the ability to work with other developers in proof of concept implementations by developing necessary word lists and taxonomies, recommending particular processing steps, etc. You should also have experience working with Linked Data and semantic technologies for metadata and knowledge representation.” Read more
BOULDER, Colo. & SAN FRANCISCO–(BUSINESS WIRE)–sovrn Holdings, Inc., advocate of and partner to almost 20,000 publishers across the independent web, today announced it is partnering with Temnos, a leading content analytics company, to analyze, filter and organize millions of pages of content across sovrn’s network. Using the Temnos Content Intelligence Platform, sovrn will be able to deliver highly targeted content and more relevant online ads, giving publishers more opportunities to monetize their content and marketers the ability to maximize reach, performance and brand awareness. Read more
Christopher Tozzi of The VAR Guy reports, “PredictionIO, the open source machine learning platform, has received a big boost with the announcement of $2.5 million in seed funding, which it plans to use to make its automated data interpretation and prediction platform widely available to open source developers. PredictionIO’s goal is to make it easy for developers and companies of all sizes to integrate machine learning —i.e., software that can interpret data intelligently to make automated decisions and predictions—into their products. ‘PredictionIO aims to be the Machine Learning server behind every application,’ according to the company. ‘Building Machine Learning in software will be as common as search soon with PredictionIO’.” Read more
PROTEUS Technologies is looking for a Senior Software Engineer in Annapolis, MD. According to the post, “We are currently conducting a search for a Senior Software Engineer who has experience building semantically enabled web applications. This work supports PROTEUS’ rapid prototyping prime contract which is located within a highly visible and prestigious department of the government customer’s organization. The Senior Software Engineer will be responsible for building a semantic web application that collects and collates data from multiple sources and converts it into one common model for the purposes of simplified data visualization and comprehensive reporting.” Read more
Daniel Day of News at Princeton reports, “Princeton University has established the Center for Statistics and Machine Learning. John Storey, a professor of molecular biology and the Lewis-Sigler Institute for Integrative Genomics, has been named the center’s director. The center will anchor the teaching of and research in statistics and machine learning on campus, Storey said, offering an undergraduate certificate as well as graduate training in the field.” Read more
Peter Rothman of h+ Magazine writes, “I recently got together with Ron Kaplan who is a well known artificial intelligence researcher in the area of natural language processing. Ron is a Distinguished Scientist at Nuance Communications. The conversation is about 1 hour long and the main theme was the recent comments about dangers from artificial intelligence made by Professor Stephen Hawking and also Elon Musk, Eugene Goostman the chatbot that supposedly passed the Turing Test. Beyond this, the conversation ranges near and far covering and whether it is ridiculous to suggest that Siri is a conscious being, reflective computing, NL interfaces and access to knowledge, communicating with wives, the effects of my diet, and the future of human languages when universal translation becomes widely available.” Read more
There’s a chance to learn everything you should know about RDF to get the most value from the W3C standard model for data interchange at the 10th annual Semantic Technology & Business Conference in San Jose next month. David Booth, senior software architect at Hawaii Resource Group, will be hosting a session explaining how the standard’s unique capabilities can have a profound effect on projects that seek to connect data coming in from multiple sources.
“One of the assumptions that people make looking at RDF is that it is analogous to any other data format, like JSON or XML,” says Booth, who is working at the Hawaii Research Group’s on a contract the firm has with the U.S. Department of Defense to use semantic web technologies to achieve healthcare data interoperability. “It isn’t.” RDF, he explains, isn’t just another data format – rather, it’s about the information content that is encoded in the format.
“The focus is different. It is on the meaning of data vs. the details of syntax,” he says.