PC Magazine July 2017
PC Magazine July 2017 issue, we feature PCMag's eighth annual Fastest Mobile Networks report. Testers drove within and between 30 cities, running speed tests and collecting more than 124,000 network-speed data points. Find out which carrier leads the pack—and where. The results may surprise you! PC Magazine is America's #1 technology magazine, delivering authoritative, lab-based comparative reviews of technology products and services to more than 6.6 million professionals every issue. PC Magazine is the only publication with in-depth reviews and accurate, repeatable testing from PC Magazine Labs placed in the unique context of today's business technology landscape.
PC Magazine July 2017 issue, we feature PCMag's eighth annual Fastest Mobile Networks report. Testers drove within and between 30 cities, running speed tests and collecting more than 124,000 network-speed data points. Find out which carrier leads the pack—and where. The results may surprise you!
PC Magazine is America's #1 technology magazine, delivering authoritative, lab-based comparative reviews of technology products and services to more than 6.6 million professionals every issue. PC Magazine is the only publication with in-depth reviews and accurate, repeatable testing from PC Magazine Labs placed in the unique context of today's business technology landscape.
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POWERING A MACHINE-LEARNING<br />
REVOLUTION<br />
The foundation of everything Google does around AI is<br />
rooted in its APIs, algorithms, and open-source tools.<br />
The company’s TensorFlow library is the most widely<br />
used ML tool on GitHub, spawning apps such as Koike’s<br />
cucumber sorter. The suite of APIs underlying Google<br />
Cloud — algorithms spanning computer vision, video<br />
intelligence, speech and NLP, prediction modeling, and<br />
large-scale ML through the Google Cloud Machine<br />
Learning Engine — is the technology powering every AI<br />
feature integrated into Google’s apps and services and<br />
now the Google.ai platform as well.<br />
The foundation<br />
of everything<br />
Google does<br />
around AI<br />
is rooted<br />
in its APIs,<br />
algorithms, and<br />
open-source<br />
tools.<br />
Francisco Uribe, product manager for Google Cloud’s<br />
AI/ML team, works at the heart of the engine that’s<br />
rewriting how Google works. Uribe oversees Google’s<br />
aforementioned ML ASL, a lab with an immersive<br />
program in which Google ML experts work directly with<br />
enterprises to implement AI solutions. By using<br />
Google’s APIs and the Cloud ML Engine, the lab works<br />
with businesses to train and deploy their own models<br />
into production.
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