The IBM Collaborative Discovery Research Team is looking for a Research Scientist in San Jose, CA. The post states, “We are looking for Research Staff Members with experience in building larger software systems and collaborative software development to help build our platform. Candidates in this role generate highly novel ideas (theoretical or experimental) in a specific engineering or scientific discipline and invent and design complex products and processes. This position may be involved in engineering these ideas to an advanced state of feasibility by evaluating ideas and plans and participating in their implementation. The full cycle of innovation to delivery is typically a multiple-year effort.” Read more
Loek Essers of Tech World recently wrote, “Researchers at the University of Amsterdam are using neural networks to help a statistical machine translation systems learn what all human translators know — that the best translation of a word often depends on the context. Machine translation systems such as Google Translate or those at iTranslate4.eu guess how to translate words and phrases based on how often they appear in a large corpus of human-translated texts. Such tools are increasingly important as individuals and businesses seek to access information or buy products and services from other countries where different languages are spoken.” Read more
Ben Woods of The Next Web reports, “Google has joined forces with the University of Oxford in the UK in order to better study the potential of artificial intelligence (AI) in the areas of image recognition and natural language processing. The hope is that by joining forces with an esteemed academic institution, the research will progress more rapidly than going it alone for its DeepMind project. In total, Google has hired seven individuals (who also happen to be world experts in deep learning for natural language understanding), three of which will remain as professors holding joint appointments at Oxford University.” Read more
MITRE Corporation is looking for an Artificial Intelligence Engineer in McLean, VA. The post states, “This position involves application of a variety of ontology, knowledge representation and semantic web tools and techniques to address sponsor problems. Candidates with practical experience designing, developing, and extending ontologies and data modeling systems preferred. This role involves technical consulting, implementing and advisement to our sponsors and therefore requires strong interpersonal and communication skills, and the ability to work with highly skilled scientists and engineers. The successful candidate must have strong skills in semantic modeling techniques and applicable technologies and have a proven record of system development abilities or published research in relevant areas.” Read more
Rachel Metz of the MIT Technology Review recently wrote, “It’s not unusual to find yourself talking to an uncooperative appliance or gadget. Soon, though, it could soon be more common for those devices to actually pay attention. A startup called Wit.ai [read our previous coverage] plans to make it easy for hardware makers and software developers to add custom voice controls to everything from smartphones and smart watches to Internet-connected thermostats and drones.”
Metx continues, “With Wit.ai, developers type a handful of plain-English commands they want it to recognize, such as ‘Wake me up tomorrow at 6’ or ‘Wake me up in 20 minutes,’ and note what they want to accomplish through each command—in this case, set the alarm on a hypothetical voice-controlled smart watch. Read more
Josiah Motley recently wrote, “Big data is big money, and a relative new-comer to the game is trying to make a big impact. 0xdata (pronounced hexadata), started by SriSatish Ambati, is that new-comer. Their current flagship product, simply titled H20, is an open source platform used to crunch huge amounts of data to more accurately display analytic results. It is able to compute these large data sets by combining machine learning with advanced mathematical algorithms. H20 allows for customers to their entire data sets, instead of sample sets which are traditionally used for such processes. We recently had a chance to talk with SriSatish Ammbati, CEO and co-founder of 0xdata to help shed more light on their product.” Read more
Accessing an enterprise’s semantic knowledge base has its challenges for the business’ general population. Perhaps development teams already have integrated specific SPARQL queries inside a customer app or custom dashboard or otherwise accommodated some very task-oriented activities and searches, but that has its limits for non-technical users who want to explore outside the box. All the same, these users aren’t likely to write new SPARQL queries on their own — but nor do they necessarily want to wait for their IT departments to pull that together for them. Interactive query builders are options but some may find these still a little too-technically oriented.
This is a problem that Metreeca is looking to solve with Graph Rover, a self-service search and analysis tool that enables non technical users to interact visually with semantic knowledge bases. It has just released the latest beta update of the product, which lets users build queries using a graphical interface, but Graph Rover has been in development for two years while the company was in stealth mode, and tech lead Alessandro Bollini says it is already a mature solution that should be available commercially in the first quarter of 2015.
IBM is looking for a Structured Content Semantic Technologist in New York, NY. According to the post, “IBM Studio is looking for a semantic technologist to join the structured content team located in New York, NY. The team works on structured content strategy innovation for the Marketing & Communication practice, in collaboration with CIO. The goal is to help marketers optimize the value of digital content through semantic technology in order to improve digital marketing performance. The Semantic Technologist will play a key role in design and development of ontology using semantic web technologies. This individual will have a role in building roadmaps for future landscapes and growth of services related to structured content.” Read more
Jacob James of Newsweek recently discussed artificial intelligence expert David Levy’s thoughts on combining natural language processing with sex dolls, and what doing so might mean for society. James writes, “It was while researching his 2003 book, Robots Unlimited, that [Levy] first became interested in the subject. Specifically, he read a quote from a 1984 book by Sherry Turkel… An interviewee, ‘Anthony’, told Turkel that he had tried having girlfriends but preferred his relationship with his computer. ‘That quotation hit me like a brick wall,’ says Levy. ‘I thought – if a smart guy could think like that in 1984, I wonder how much the concept of human-computer emotional relationships has developed since then’.” Read more
Jeffrey Schwartz of Redmond Magazine recently wrote, “Nearly a year after launching its Hadoop-based Azure HDInsight cloud analytics service, Microsoft believes it’s a better and broader solution for real-time analytics and predictive analysis than IBM’s widely touted Watson. Big Blue this year has begun commercializing its Watson technology, made famous in 2011 when it came out of the research labs to appear and win on the television game show Jeopardy. Both companies had a large presence at this year’s Strata + Hadoop World Conference in New York, attended by 5,000 Big Data geeks. At the Microsoft booth, Eron Kelly, general manager for SQL Server product marketing, highlighted some key improvements to Microsoft’s overall Big Data portfolio since last year’s release of Azure HDInsight including SQL Server 2014 with support for in-memory processing, PowerBI and the launch in June of Azure Machine Learning.” Read more