Sentence examples for learning has advanced from inspiring English sources

As the power of computing has grown over the past few decades, the field of machine learning has advanced rapidly in both theory and practice.

The company believes that machine learning has advanced to the point that it is now possible to build a predictive, all-knowing, superhelpful and conversational assistant of the sort that Captain Kirk relied on to navigate the stars.

But, in the years since, deep learning has advanced to enable algorithmic breakthroughs in several critical areas for autonomous driving, including mapping, perception and scene understanding.

As research on motor learning has advanced, we have come to understand that learning occurs at multiple neural sites and over several time scales (Medina and Mauk, 2000; van Alphen and de Zeeuw, 2002; Jorntell and Ekerot, 2003; Boyden et al., 2004; Yang and Lisberger, 2010).

Learning theory has advanced significantly, especially in the last decade, and Empiricism can now draw upon new resources; specifically, learning algorithms based on Bayes' Theorem.

The economical book drops us quickly into the story of a young woman, Yoshimi (the lovely Kimiko Glenn), whose boyfriend troubles fade into insignificance when she learns she has advanced aggressive lymphoma, a blood-borne cancer.

So, let us suppose that he increases the number of Special Forces raids into Pakistan, and those soldiers capture members of Al Qaeda and their computers, and learn that the group has advanced plans for striking American and European targets, but we don't know specifically where or when.

I thought about my mother, who died at 49, a year after learning she had advanced ovarian cancer.

After learning he had advanced lung and kidney cancer, Artie Boyle traveled to Bosnia and Herzegovina to the pilgrimage site Medjugorje with Griffin and his brother-in-law, Kevin Gill.

Because of its robust profiles, which allow for the liking of individual pieces of content, it thinks its machine learning algorithms have advanced to the point where they can surpass "friends of friends" as a predictor of compatibility, the CEO says.

Molecular tumor classifications resulted from these data and learning algorithms have advanced our understanding of genetic changes associated with cancer etiology and development.