The structures built around your data -- and the way your data is structured -- influences the extent to which you can effectively use machine learning. Data architecture applies "specifically to ...

Instrumenting these systems and then applying machine learning might yield insight that could allow us to do enterprise architecture better -- 'this system is a hot spot,' 'this system doesn't ...

and word level learning supervision ensures good language flow, making the summary more coherent and readable.” Scored against this system, they found that their joint model scored higher than ...

This essay explores Shanbhag's achievements in cloud architecture, machine learning, and team development ... Shanbhag's achievements was his development of a summarization microservice, built ...

Intel has launched a Model Zoo for Intel Architecture, an open-sourced collection of optimized machine learning inference applications that demonstrates how to get the best performance on Intel ...

In the field of machine learning, a novel development usually means a new algorithm or procedure, or—in the case of deep learning—a new network architecture. As others have pointed out ...