Thứ Năm, 1 tháng 11, 2018

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Hello welcome to the IoT Developer Show.

My name is Martin Kronberg.

In this season of the show, we took a closer look

at the OpenVINO toolkit.

And in this final episode, I want

to talk about what's coming up in the next season

and recap some of the OpenVINO toolkit benefits

that we discussed.

The OpenVINO toolkit is a collection

of tools curated and optimized by Intel

to help you create AI-driven computer vision applications.

The toolkit contains a custom inference engine, OpenCV,

and a whole host of optimized libraries

to run on Intel architecture.

We showed a basic OpenVINO toolkit workflow,

including using Intel System Studio

2018 to create a heterogeneous compute environment

and V2 to analyze your code.

These tools and methods enable you

to create highly optimized AI computer vision applications.

Next, we took a look at two new developer kits

that have the OpenVINO toolkit pre-installed, The IEI

Tank, AIOT developer kit, and the Up Squared AI Vision

development kit.

With these, you're able to develop and deploy

your computer vision applications

in an industrial environment.

Finally, we showed some of the reference implementations

and sample code that Intel engineered

have created to help you get started creating your own AI

Vision applications.

If you missed any of the episodes,

want to learn more about these topics,

and see the OpenVINO toolkit in action, please follow links

provided.

In the next season, we begin our journey into all the reference

implementations that Intel has created

for developers in the industrial and retail space.

They include flaw protection, store monitoring,

and many others.

In season three of the show, we're

going to teach you how to speed up

development time for your retail and industrial IoT applications

by leveraging these implementations.

Thank you so much for watching and remember

you can download the OpenVINO toolkit free by following

the links provided.

See you next season.

[MUSIC PLAYING]

For more infomation >> Computer Vision Recap | IOT Developer Show | Season 2 | Intel Software - Duration: 2:00.

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Two Seattle schools among first to test facial recognition software - Duration: 2:25.

For more infomation >> Two Seattle schools among first to test facial recognition software - Duration: 2:25.

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Software Engineering - Duration: 2:37.

At the moment, software is conquering the world.

We are moving toward a hyperconnected paradigm

in which information, data and software

can be found anywhere.

For instance, the concept of the smart city means that

we have a lot of devices,

and software can be in any of them.

And now software is going to be self-managed.

What does this mean?

Software will decide for itself what to do

and how to do it, when to send information, etc.

Without our help.

And this new paradigm creates opportunities

for our businesses.

They will be able to develop products

that couldn't be developed until now,

and they will be able to offer services

that couldn't be offered until now.

As you can see, our job isn't that simple.

We must understand, develop and maintain

many lines of code.

A line of code is an order we give to the processor.

The more orders we give,

the more complex and the bigger the software will be,

and the harder it will be to develop it and maintain it.

We are in contact with millions of lines of code every day.

For example, an elevator now has

half a million lines of code,

a car has 15 million, etc.

and they all have to be maintained.

To give you a better idea of what this means,

all Google services (Gmail, Google Maps, etc.)

have 2 billion lines of code.

If we printed all of them,

they would take up 36 million sheets of paper,

and if we piled them up, they would be 3.6 km high,

as tall as Mount Teide.

It seems as if our profession doesn't appeal much

to young people, and even less to women.

We're talking about a job without unemployment,

and the most important thing is that

our graduates have the opportunity to work in any area

of knowledge.

Making cars and elevators, or creating applications

for different sectors.

This is the biggest challenge for our businesses

to promote competitiveness:

to attract women and young people

to software engineering.

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