Already a member? Log in

Sign up with your...

or

Sign Up with your email address

Add Tags

Duplicate Tags

Rename Tags

Share It With Others!

Save Link

Sign in

Sign Up with your email address

Sign up

By clicking the button, you agree to the Terms & Conditions.

Forgot Password?

Please enter your username below and press the send button.
A password reset link will be sent to you.

If you are unable to access the email address originally associated with your Delicious account, we recommend creating a new account.

ADVERTISEMENT
ADVERTISEMENT

Links 1 through 10 of 3349 John Sing's Bookmarks

Uber’s Head of Data Aaron Schildkrout recently said, simplicity of its business plan gives Uber a huge opportunity to use data to essentially perfect its processes.

“It’s fundamentally a data problem,” Schildkrout says in a recording of a talk that Uber did with Databricks recently. “Because it is so simple, we sort of get to the essence of what it means to automate an experience like this. In a sense we’re trying to bring intelligence, in an automated and basically real time way, to cars that all over the globe right now that are carrying people around, to make that happen at this tremendous scale.”

Whether it’s calculating Uber’s “surge pricing,” helping drivers to avoid accidents, or finding the optimal positioning of cars to maximize profits, data is central to what Uber does. “All these data problems…are really crystalized on this one math with people all over the world trying to get where they want to go,” he says. “That’s made data extremely exciting here"

Share It With Others!

Seeking Alpha's excellent quick-look world financial markets demographics interactive web page.

Share It With Others!

Google Translate has been converted to an A.I.-based system for much of its traffic, not just in the United States but in Europe and Asia as well: the rollout included translations between English and Spanish, French, Portuguese, German, Chinese, Japanese, Korean and Turkish. The rest of Translate’s hundred-odd languages are to come, with the aim of eight per month, by the end of next year. The new incarnation, to the pleasant surprise of Google’s own engineers, had been completed in only nine months. The A.I. system had demonstrated overnight improvements roughly equal to the total gains the old one had accrued over its entire lifetime.

Share It With Others!

Good example of what 15 person modern digital marketing agency's website looks like. Hip and cool.

Share It With Others!

Share It With Others!

Share It With Others!

Share It With Others!

The 18 Important URLs That Every Google User Should Know

Share It With Others!

in-depth discussion with one of the key thinkers at the heart of the procurement, Los Alamos National Labs’ HPC division leader, Gary Grider. His foundational work on burst buffers (a term he coined) features prominently in the other half of the procurement, the NERSC “Cori” system, but he’s also been instrumental in making system-level choices for the NNSA’s mission-critical Trinity supercomputer, along with a great deal of assistance from project partners at Sandia.

Share It With Others!

The initial target of burst buffers was to relieve the bandwidth burden on parallel file systems by providing an SSD cushion layer between the compute and storage systems, offsetting constant I/O demands. As the concept has evolved, new uses, benchmarks, and now products are being pushed forward as possible solutions for the data movement bottlenecks inherent to HPC machines–taking the idea well beyond improving the efficiency and performance of basic functions like checkpoint and restart.

Share It With Others!

ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT