Sentences with phrase «longer in machine learning»

«Google benefits from its huge search inventory, and has invested far longer in machine learning than its rivals,» says Thomas Husson, the principal analyst of Forrester Research.

First, «Google benefits from its huge search inventory, and has invested for longer in machine learning than its rivals,» notes Forrester's Husson.

Not exact matches

«In addition to longer - term data investment trends, we see shorter - term drivers in gaming offsetting crypto weakness, and progress in data center inference [machine learning] expanding the long - term opportunity,» analyst Joseph Moore wrote in a note to clientIn addition to longer - term data investment trends, we see shorter - term drivers in gaming offsetting crypto weakness, and progress in data center inference [machine learning] expanding the long - term opportunity,» analyst Joseph Moore wrote in a note to clientin gaming offsetting crypto weakness, and progress in data center inference [machine learning] expanding the long - term opportunity,» analyst Joseph Moore wrote in a note to clientin data center inference [machine learning] expanding the long - term opportunity,» analyst Joseph Moore wrote in a note to clientin a note to clients.

He was most animated during a long diversion about Google's machine - learning prowess in translating English to Chinese — a tough problem, but one for software engineering, not hardware.

In the wake of significant disruption, it is time to bring the legacy publishing business into the modern era and leverage innovative technology — from machine learning to artificial intelligence — to create long - term sustainability and vitality.»

Target Coin is a tokenised long - short Cryptocurrency Fund which invests and trades in the CryptoCurrency market by utilizing machine learning and algorithmic trading strategies for optimum Alpha generation and risk adjusted returns.

Creators of machine - learning systems «used to be able to look at the source code of our programs and understand how they work, but that era is long gone,» says Simon DeDeo, a cognitive scientist at Carnegie Mellon University in Pittsburgh.

You might be surprised at the number of women who, in a moment of need, picked the phone up and left an angry message on a man's answering machine for not calling, only to learn later that there was a legitimate reason, and now because he saw how volatile she was, he is no longer interested!

Peter Stevens felt privileged to be among the judges / Auto - biography: Gerry Michelmore — In the latest instalment of our interview series, we visit Carden cyclecar owner Gerry Michelmore and learn of his other interests / Lea - Francis by Corsica — Malcolm Bobbitt reports on a rare 1939 Super Sports model that has just emerged from long - term restoration / Rétromobile 2013 — We share some of the highlights from the annual pilgrimage to Paris, focusing on the rarest and most unusual machines on display / Made in Lyon: the Cognet de Seynes — This Lyonnaise company started making cars in 191In the latest instalment of our interview series, we visit Carden cyclecar owner Gerry Michelmore and learn of his other interests / Lea - Francis by Corsica — Malcolm Bobbitt reports on a rare 1939 Super Sports model that has just emerged from long - term restoration / Rétromobile 2013 — We share some of the highlights from the annual pilgrimage to Paris, focusing on the rarest and most unusual machines on display / Made in Lyon: the Cognet de Seynes — This Lyonnaise company started making cars in 191in Lyon: the Cognet de Seynes — This Lyonnaise company started making cars in 191in 1912.

A report from Cloudability shows today's cloud services have come a long way since Amazon Web Services debuted in 2006, demonstrating the growth of new - age offerings like artificial intelligence / machine learning, serverless computing, flash storage and more.

Despite FANGs being compared to dotcom stocks of the late 1990s, most analysts agree that the upward momentum of these growth stocks is sustainable as long as there are more technological advancements to be made, especially in artificial intelligence (AI) and machine learning.

Here are some examples: # 1) «A Parallel Nonnegative Tensor Factorization Algorithm for Mining Global Climate Data» http://www.springerlink.com/content/u4x12132j06r40h3/ (from LNCS - Lecture Notes in Computer Science) # 2) «Dowinscaling of precipitation for climate change scenarios: A support vector machine approach» http://eprints.iisc.ernet.in/18799/ (Journal Of Hydrology) # 3) «Semi-supervised learning with data calibration for long - term time series forecasting» http://portal.acm.org/citation.cfm?id=1401911 (Knowledge Discovery and Data Mining Journal) There are tons that I can quoted, but the 3 references that I have linked to above clarifies my point.

In other words, incorporating machine learning capacities into ODR applications made available to the courts could go a long way in making the judicial system more accessible for all CanadianIn other words, incorporating machine learning capacities into ODR applications made available to the courts could go a long way in making the judicial system more accessible for all Canadianin making the judicial system more accessible for all Canadians.

And the issue is likely to gain traction as machine learning and predictive coding become more sophisticated, particularly since with deep learning (which learn autonomously), algorithms can reach a point where humans can often no longer explain or understand them, says Nicolas Vermeys, assistant director at Cyberjustice Laboratory in Montreal.

Some of which have led to learning various machine learning methods that in the long run leave traders even more confused.

The Pixel 2 has a revamped portrait mode that uses machine learning to figure out exactly where the background is in your photo and it not longer requires you to move your phone around to get a good shot.

Without a doubt, Microsoft's decade's long investment in natural language understanding and machine learning will come into play within this new AI, and bot supported environment.

«People want to have a pattern detection and a view into the future, so the traditional career in reporting is no longer enough, which is a key reason machine learning is critical.