Auto news on Youtube Oct 23 2018

Codota revolutionizing the way teams build software

helping developers code faster and with fewer errors

using AI trained on your code base and your exports input

Codota integrates in to developers natural work flow in the IDE

providing real time contextual suggestions

The result, save time and resources by reusing

existing code instead of reinventing solutions

Codota is available for java today

Support for additional programming languages is coming soon

get started today at www.codota.com

For more infomation >> Codota revolutionizing the way teams build software! - Duration: 0:40.

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How to Setup LAN Communication for Colorlight C4 Player & Ledvision Software - Duration: 2:44.

Read "Description" for text guides.

If this led display video tutorial helped, please give it a thumbs up or make a comment!

For more infomation >> How to Setup LAN Communication for Colorlight C4 Player & Ledvision Software - Duration: 2:44.

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Smart Video Workshop | IDZ Weekly | Intel Software - Duration: 1:58.

Smart video is pushing the boundaries

of what industries can do by providing critical insights not

able to be seen by humans alone.

So how can you learn more about smart video

and how it works to take advantage of its growing

demand?

I'm Stephanie Essin, and you'll find out in this IDZ Weekly.

By using deep learning to process hours and hours

of video data, industries like digital security,

retail, smart cities, and even manufacturing

can maintain a competitive edge.

Intel has introduced the OpenVINO toolkit

to help accelerate development of deep learning inference

applications.

It's a convolutional neural network-based tool

to develop applications and solutions that

emulate human vision with the support

of heterogeneous execution across different hardware

platforms, perfect for smart video use cases.

If you don't know much about the OpenVINO toolkit,

Intel has an online workshop that

offers tutorials and labs focused on different aspects

to accelerate the development of deep learning applications.

This Smart Video Workshop featuring the OpenVINO toolkit

is aimed at engineers, researchers, and software

developers who develop computer vision and machine learning

applications and want to benefit from transparent hardware

acceleration.

The workshop will cover Intel computer vision technology,

including the OpenVINO toolkit, a wide range of common software

frameworks, such as TensorFlow, Caffe, and MXNet,

how to accelerate computer vision applications,

performance optimization techniques with hardware

acceleration for platforms.

And finally, you'll learn to leverage reference

implementations for rapidly developing end

to end solutions for today's use cases.

To take the workshop to develop your own smart video

application, check out the links.

See you next Monday.

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