Researchers from the Renaissance Computing Institute (RENCI) at UNC-Chapel Hill, Perspectrix, the UNC School of Medicine, and the WVU Rockefeller Neuroscience Institute have collaborated to develop a new method for finding patterns in data which arguably surpasses the performance of a generally accepted “gold standard.”
Lidia is currently a Specialist Solutions Engineer for the Network and Security Business Unit in the UK, where she’s responsible for the Healthcare sector. She has been in this role for almost 2 years now, with a background in Network Engineering.She’s incredibly passionate about making technology and technical careers approachable and accessible by sharing her own experiences. She’s also an advocate of bringing your true self to your work and not conforming to the expectations of a career in tech, especially as a woman in a primarily male-dominated field.Links to see more from Lidia can be found below!LinkedIn: www.linkedin.com/in/lidia-rosenova-vasilevaTwitter: www.twittter.com/packetmageWebsite: www.packetmage.com
n the video presentation embedded below, our friends over at Neural Magic present a compelling workshop: How to Optimize Deep Learning Models for Production. After watching this video, you’ll be able to optimize your NLP and/or computer vision model, apply your own data with a few lines of code, and deploy it on commodity CPUs at GPU-level speeds.
In this contributed article, Mark Gibbs, Vice President of Products at SnapLogic, looks at best practices for data integration success, shares advice on how to optimize your CDW investments, and reviews common issues to avoid during the process. Data integration comes enables the CDW by mobilizing your data and automating the business processes that drive your business to deliver deep data insights and increase time to value.