Orbis is looking for a Software Developer – Cloud and Big Data in Annapolis, MD. The post states, “Join a team oriented environment, participate in Scrum meetings, drive and execute technical various project phases from development through implementation of advanced web technology solutions for commercial and government clients. Many projects include integration of Open Source software with developed web services to create custom solutions for our clients. Develop high quality software designs and programs for customized customer solutions using Java. Use Agile/SCRUM methodologies and help implement semantic web technologies (OWL, RDF).” Read more
Debra Eichten of the Cornell Chronicle recently wrote, “At the Big Red//Hacks event Sept. 26-28 – billed as the first student-run, large-scale hackathon at Cornell University – participants will have access to a semantic intelligence application program interfaceAPI, the core technology for a new startup, Speare. Speare founder and CEO Rahul Shah ’16 said his passion for understanding information, coupled with meeting students who shared an interest in entrepreneurship, resulted in the creation of Speare – a startup business that harnesses semantic intelligence to understand the meaning of textual information.” Read more
Ron Miller of TechCrunch reports, “IBM today announced a new product called Watson Analytics, one they claim will bring sophisticated big data analysis to the average business user. Watson Analytics is a cloud application that does all of the the heavy lifting related to big data processing by retrieving the data, analyzing it, cleaning it, building sophisticated visualizations and offering an environment for communicating and collaborating around the data. And lest you think that IBM is just slapping on the Watson label because it’s a well known brand (as I did), Eric Sall, vp of worldwide marketing for business analytics at IBM says that’s the not the case. The technology underlying the product including the ability to process natural language queries is built on Watson technology.” Read more
We are seeing the beginning of the new artificial intelligence economy. This has many parallels to the infrastructure-as-a-service wave led by Amazon Web Services (AWS), which provided the world with access to highly-scalable compute capacity. AI technologies are being exposed as core infrastructure via the cloud, enabling companies to build smarter applications and services.
If you think you aren’t already a part of the AI economy, think again. Most of us are already participating through our interaction with popular applications and services. For example, Google Maps uses AI technology to better understand Street View images to give more accurate directions; and both Siri and Google Now use a combination of speech recognition, language understanding, and predictive modeling to act as digital personal assistants.
So the big question is: why now? Historically, AI technologies have been limited by a lack of data, insufficient compute capability, and poor algorithms. We’re now witnessing the convergence of three major forces: ready access to massive data, highly scalable on-demand compute capability, and a number of core algorithmic breakthroughs that enable us to better train robust AI systems. This is a perfect storm that has resulted in significant advances in computers’ ability to understand text, images, video, and speech. Read more
IBM is looking for a Research Scientist in the Accelerated Discovery Lab in San Jose, CA. According to the post, “We are looking for a Research Scientist to work with the Collaborative Discovery Research Team at IBM Research – Almaden in San Jose, CA. The team researches computational systems and user experience to support in the emerging area of big data and analytics. Our research goal is to invent new systems that can accelerate collaborative discovery by thinking more broadly about the experience of working with big data and analytics from start to finish, to enable more natural interaction and to narrow the gap between data and decisions… Read more
DUBLIN, September 15, 2014- AYLIEN, Inc., a Dublin-based firm backed by SOS Ventures, has announced the availability of a Google Sheets add-on which extracts meaningful data from documents.
The add-on was built using AYLIEN’S own Text Analysis API, released in February of this year, and features the full capabilities of the original product. The Text Analysis API, as the original press release states, “enables developers and news organizations to extract meaningful insights” from a given text. The Google Sheets add-on extends that capability beyond developers and news organizations. Read more
Semantic Interoperability of Electronic Healthcare Info On The Agenda At U.S. Veterans Health Administration
The Yosemite Project, unveiled at this August’s Semantic Technology & Business Conference during the second annual RDF as a Universal Healthcare Exchange Language panel, lays out a roadmap for leveraging RDF in support of making all structured healthcare information semantically interoperable. (The Semantic Web Blog’s sister publication, Dataversity.net, has an article on its site explaining the details of that roadmap.)
The Yosemite Project grew out of the Yosemite Manifesto that was announced at the 2013 SemTechBiz conference (see our story here). The goals of the Manifesto have now been mapped out into the Project’s guidelines to follow on the journey to semantic interoperability by David Booth, senior software architect at Hawaii Resource Group (who led the RDF Healthcare panels at both the 2013 and 2014 conferences). The approach taken by the Yosemite Project matches that of others in the healthcare sector who want to see semantic interoperability of electronic healthcare information.
Among them are Booth’s fellow panelists at this year’s event, including Rafael Richards. Richards, who is physician informaticist at the U.S. Veterans Health Administration – which counts 1,200 care sites in its portfolio – comments on that alignment as it relates to the work he is leading in the Linked Vitals project to integrate the VA’s VistA electronic health records system with data types conforming to Fast Healthcare Interoperability Resources, orFHIR,standard for data exchange, and with information types supporting the Logical Observation Identifiers Names and Codes, or LOINC, database that facilitates the exchange and pooling of results for clinical care, outcomes management, and research.
SRI International is searching for a Computer Scientist in Menlo Park, CA. According to the post, this position will “Conduct research into fundamental computer and information science developing techniques for knowledge base optimization. Will perform research to re-design and reengineer critical pieces of the system and develop new applications. Will perform research and design and implement a query language for knowledge base systems; reasoning algorithms for inference tasks including similarity reasoning, relationship reasoning and para-consistent reasoning; and knowledge modeling software. Optimize the performance of reasoning algorithms and evaluate relative advantages of open source and commercial reasoning systems.” Read more
NEXT PAGE >>