• Predictive Analytics for Improved Cost Management  



Blog



Check out this article  - “New software can detect when people text and drive” – turns out that researchers at the University of Waterloo have created algorithms that recognize distracted driver behaviors such as texting, cell phone usage or reaching into the backseat to retrieve items.  Using cameras and artificial intelligence to detect and classify distracted behaviors. Machine learning employed to ‘inform’ the algorithms that are at the heart of this technology.  The algorithms build on work that has been done at the university’s Centre for Pattern Analysis and Machine Intelligence creating intelligence to recognize blinking eyes, pupil dilation, ...
Check out this presentation by Dr. Ken Nidiffer of the Software Engineering Institute (SEI) at Carnegie Mellon University – presented at the STC 2017 Conference at NIST.  According to NDAA 2013, Section 933  “Software assurance provides the required level of confidence that software functions as intended (and no more) and is free of vulnerabilities, either intentionally or unintentionally designed or inserted in software throughout the lifecycle.” It was clear from this and several other presentations at the conference that the way to achieve software assurance is to integrate it thoroughly into the system acquisition lifecycle.  Nidiffer detailed some of the ...
I just recently attended the 28th Annual IEEE Software Technology Conference (STC) sponsored by IEEE and hosted and the National Institute of Standards (NIST).    The conference provided attendees with incredible quality content – 8 wonderful keynote sessions and 51 great presentations (OK – I didn’t attend all of them obviously but the ones I did were insightful, useful and informative.  STC was founded in 1989  by the Assistant Secretary of the Air Force for Acquisition (Communications, Computers, and Support Systems), Mr. Lloyd Mosemann, through the Software Technology Support Center (STSC) at Hill Air Force Base.  The purpose of the ...