CTOvision
FEBRUARY 4, 2015
Implementing an Enterprise Data Hub — Technical perspectives for implementing enterprise data hub architectures, converged analytics for workflow optimization, and the essential role of open standards and frameworks to ensure continuous innovation. High Performance Computing Lead, NASA Center for Climate Simulation (NCCS).
CTOvision
JANUARY 18, 2015
Implementing an Enterprise Data Hub — Technical perspectives for implementing enterprise data hub architectures, converged analytics for workflow optimization, and the essential role of open standards and frameworks to ensure continuous innovation. High Performance Computing Lead, NASA Center for Climate Simulation (NCCS).
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Altexsoft
DECEMBER 11, 2019
Since most deep learning methods use neural network architectures, deep learning models are frequently called deep neural networks. Neural networks are computing systems designed to recognize patterns. Their architecture is inspired by a human brain structure, hence the name. What makes a neural network deep?
LeanEssays
JULY 14, 2019
As the company outgrew its traditional cathedral-style software architecture in the early 2000’s, the leadership team felt that the growing pains could be addressed with better communication between teams. In other words, a bazaar-style hardware architecture was vastly superior to a cathedral-style architecture.)
Datica
JUNE 17, 2019
The best road to interoperability in healthcare available to us today is to demand an open architecture from vendors and technology providers. Rejecting point solutions with closed architecture and embracing vendor-neutral open architecture is the first step on a long path towards meaningful healthcare interoperability.
Expert insights. Personalized for you.
134 
Let's personalize your content