Practice English Speaking&Listening with: ɸ-week | Day 2

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From artificial intelligence to a boot camp,

these are the highlights from the second day of

ESAs Phi Week in Italy.

Artificial intelligence for Earth Observation

or AI4EO was the main topic of the day.

Now, this isnt exactly about walking, talking robots.

But scientists are training artificial intelligence

how to correctly analyse images of our planet

coming from spacebourne satellites.

This technology is providing us with vital information

on our environment, and adding value for the end user.

For experts like Patrick Helber,

the next best things to come for AI4EO

will be the result of the vast amounts of data

being made available through Europes Copernicus programme.

For AI and currently the methods which are state-of-the-art,

we need a large amount of data

and this is exactly what we are given by the Copernicus programme.

Now we have to create a ground-truth dataset

so that we can really train our AIs

in getting a global AI running automatically on these images.

Also on Tuesday,

a session dedicated to the status of, and opportunities for, launchers was held.

Focus was on Europes Vega small launcher and the future Ariane 6 rocket

two programmes that are working to secure Europes independent access to space.

For three days,

budding entrepreneurs and young professionals

have been working to create their own start-ups related to space, food and energy.

35 participants from 16 different countries

collaborated on new ideas and business models

that offer solutions to real-world problems

with Earth observation data in the first-ever

Phi Week Bootcamp

In undeveloped countries there's a lot of waste

which cause a disease

and they don't have energy

So if we can connect these two things

and with the information provided through satellites

where we can identify they key areas that have the right condition for these microbes that causes it

that in relation to where the electricity is needed

We can compile this information with this device to then help those people there

It's about gathering information from satellite imagery

that's information that's produced by farmers

And existent information about weather and soil conditions

to try to help farmers manage their crops in a better way

so they are part of this chain where they are also producing information

that say the other farmers to track how they are doing on the agricultural production

We want to use big data and methods of industry 4.0

to find the perfect location for companies and industry planing new subdivisions

Amazon is a good example that planned a new HQ

We can step in a use new methods for example Earth observation data

to plan the perfect new HQ

The Earth observation data sets are really massive

and a lot of people actually use a fraction of what's delivered to them

so we're really trying to crunch it down to much more sizeable pieces that match the semantic needs of a user

someone is interested in urban settlements you only get the Earth observation data needed

We are developing a web-based dashboard

to improve water usage in agriculture for food production

These farmers are buying very cheap rice

and that is completely unsustainable

we want to help the European people to make more sustainable rice produced in Europe

and we want to use open satellite data to give them all kind of service to cover their needs

We want to help to improve production and benefit everyone in Europe

The replay of selected events

and exclusive interviews happening here at Phi Week

are available on our website

so check out ww.esa.int.

Im Kelsea Brennan-Wessels for ESA Web TV

thanks for watching!

The Description of ɸ-week | Day 2