Sentence examples for edge machine from inspiring English sources

Router #19 is an "edge" machine - our packets are now ready to get off the Qwest backbone and to be routed to a connected network in the Boston area.

With devices such as robots, drones, 360 cameras, medical, etc., Jetson can be used for "edge" machine learning.

But rather than manually cobble this info together, Volley uses cutting edge machine learning and natural language processing to do it all automatically.

He inspired us to combine cutting edge machine learning and other intelligent software engineering with amazing interactive and visual design to transform the way users consume information on their mobile devices.

Harvard does have an awfully big network, though, and distinguishes between its edge machines (#21) and core machines (#22, #23).

The approach relies on cutting-edge machine learning to interpret the signals.

The media's obsession with quantitative deduction overlooks the abstractness, the magic, of two superstars whose very interpretation of the art – Ronaldo, the razor-edge machine of rationale, and Messi, the aesthetic magician of chaos – is framed in classically diametric opposites.

Most cutting-edge machine learning is done today on conventional computer chips, whether originally designed for graphics processing or custom-made to handle the necessary computations as efficiently as possible.

This is just one of many commercial efforts to combine existing robot hardware with cutting-edge machine learning something that is very difficult but could, in time, fundamentally change the robotics industry.

The goal of this research is to understand to what extent cutting-edge machine learning research follows best practices in reporting such data, with a published scientific paper that we expect to make significant impact across many fields.

We are seeking a highly-motivated individual to join a multidisciplinary research team to conduct cutting-edge machine learning research for patient dynamics modeling and learning optimal intervention strategies from physiological and clinical time-series data.