Sentence examples for cutting-edge machine learning from inspiring English sources

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

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.

It will also account for a wide range of project types, from the reasonably simple reporting of standard analytics data (say, financial results) to the most sophisticated big data efforts that use cutting-edge machine learning algorithms. 1. Define talents, not team members.

We will examine a large number of cutting-edge machine learning research papers published in various fields, and for each paper, we will record questions like: Does the paper report how many human labelers were involved, what their qualifications were, whether they independently checked each other's work, how often they agreed or disagreed, and how they dealt with disagreements?

Current cutting-edge machine learning systems rely on deep learning, which requires training models on giant sets of data using huge clusters of computers.

To do it, the kiosks use several cutting-edge machine-learning algorithms.

The Watson supercomputer that won the game show Jeopardy! in 2010 used cutting-edge machine-learning and natural-language processing techniques.

It's a weighty sum, but the purchase gives Intel cutting-edge machine-learning technology that lies at the center of the nascent autonomous car industry.

Some will also use a cutting-edge machine-learning approach known as deep learning in order to identify objects accurately and grasp them securely.

The system was trained using cutting-edge machine-learning algorithms, and it could predict, with just over 90percentt accuracy, when a driver was about to change lanes in the next few seconds.