or notice saturdays are allowing the illegal ratings to go ahead and local say they are in too bothered by the party. but just as the visitors don't mean any trash. and a quick reminder of our top story today. the g 7 summit in japan, you as president joe by no signal washington would allow its allies to transfer american made f 16 fighter planes to keep your premium president will let him read . zalinski is due to join g 7 leaders later on the weekend. and that's all for now . thank you so much for your company. the you become a criminal pretty kind, a reading news,

told me about sugars paralyze between your society computers and governments that go crazy for your data. explain how to use technology's work. that's how they can also watch it. now the real thing, extreme hate plus extreme rain these days. natural disasters like far as far as and funding of becoming increasingly comment due to climate change. but how can digital technology help us out? that's the topic today on ship the

whether it's mudslides in brazil of to heavy rain. destructive tornadoes in the us or extreme heat waves in india, climate change impacts all of us fires are destroying many hector, as of, for us both here in berlin and across europe. never before has flat cost so much damage here as in 2022 and people play an important role. well, it takes is picking one little cigarette but, and you might end up with a raging inferno. before i thought as a using digital tech to track down and put out for us as early as possible to win. as far as fire breaks out, there's no time to lose. but it might take residents hours or even days to report that special technology can help reduce that time to a few minutes. several companies work with all the official intelligent software idolize assessing like images and sensors on the ground, checking for smooth shifts and thermal infrared, the data that could indicate to fire. and this one is detected. first responders receive

a notification which she learning. we can actually teach the computers to identify on actual flame, or we can also teach that technology to determine if it's easy, simple imagery, whether it's a stationary flame, perhaps a power station compared to a moving plane from a wall fire. so in that sense of the kind of warranty for automated detection is really important. wild fires a haul to control. planes can change direction depending on the wind or will they can spread a different speed by a map, predict california will suppress. so the next hour. it's built on deep learning, instead as the when the dryness of vegetation, historical fire perimeters and such a light blue ground sense of data. and this other software to simulate how wild fires will spread and health officials direct firefighters. and if i q a once all the data is available,

it's time for the fly flight is to get to work, and they have to move fast. any well equipped team needs the help of drones and extinguishing robots these days. and there are even helmets that use old method reality to display useful information. let's take a look. innovative helmets also help firefighters on the ground. these comments feature augmented reality technology and thermal imaging, which enables firefighters to see through smoke and darkness. that way they can find and risk to people trapped fi fires and bring them to safety more quickly. but things get really dangerous when firefighters end up trapped by fire. so that's where fire extinguishing robots coming. users can control them remotely from up to 200 meters away. and with a digital control station, their range can go all the way up to 2 and a half kilometers. users can guide the robot with it's built in cameras. drones can provide additional safety. they're often used to transmit images and information on

wildfires and real time. also, they can fly and smoky conditions or at night when it's dark and can carry water. they can be controlled with an app. jones can be can be easily effective. the also . ready lanes, especially because they can get quite close to the talk. it's without risking any lice. many fire fights this every die actually in point of why do you guys misses a so from that perspective, even if you've replaced life by like it's, it's a big advantage. the technology not to expose you, most of those things just all i think the fine with that. but the best way to fight for us wise is to prevent them from breaking out in the 1st place. so it's us over the world of working on systems to predict where and why something might catch a lot. and in california, they've come a long way in finding answers to those questions. california is via facing agency, works with computer modeling to create daily wildfire risk full costs. these full

costs are usually based on geographic information systems o g i. yes. a computer system that analyzes geographically reference data, like much, st buildings and vegetation. the simulations can help identify risk areas because they are densely populated. to have a lot of dr. agitation, the authorities come the sign accordingly. for example, removing the dead trees that could become fuel. so while the effects of the climate crisis, such a severe heat, some droughts of fueling wild fires, today's technology is improving the precision of early warning systems. it's much better to identify the risk for fire and also having to you soon bye nephew, finding a fire. so technologies probably most useful in preventing 5 from happening in the 1st a cost. we can prevent every disaster because one thing is clear, extreme weather isn't going to go anywhere. and i'm not just talking about extreme

hates causing drops and fires. heavy rain will lead to flooding as well. so that's why it's important to be well prepared with precise where the full costs satellites regularly transmit the latest data. and that data needs to be analyzed and assessed quickly. but that's almost impossible without artificial intelligence. meteorologist to rely on local observations and also assess data transmitted from over $800.00 weather satellites. the key to analyzing this data as quickly as possible often involves machine learning. we have so many satellites up in the air now. and so they give us the time data and it's, it's like a mountain of data. so if we have hit the points where it's just not possible to do it by hand anymore, it's just not possible to do anything in a time. that is the time that we need for intervention. so i think that these technologies always becoming really needed and they slowly, you know, percolating into into practice. one important task is combining the different types of data transmitted by satellite where people think of a satellite,

even if they think about the colors, mostly because, you know, we, we all use google not every day to, to buy their trades, but it's not pleasant, but much different types of data, you know, when there is a storm, it's very cloudy and traditional stuff that i do not see any, for example. so the both dental use rate or data for that. there was a lot of these different satellites, or between about 4 pets and then the double machine learning specialist like nice try to make sense of all of them together because everyone completes the weakness of the other. the cleaned up data can then be entered into computer models to simulate the physics of the atmosphere and oceans. these models divide up the world into a grid and in each square, they simulate the physical process is key to forecasting with. this way, the models can estimate what the weather will be like in the coming days with a high degree of precision. but what good are

the best calculations if residents not notified? or if i don't take the warning seriously, in 2021 over 220 people died in one single rain storm in central europe. that the spot the fact that they would notified of the danger. however, countries like india that have been struggling with the effects of climate change for decades are well prepared for the 2013 sites and mainly mainland full in india. and although the 6th stream, the strong storm reached wind speeds of over 200 kilometers an hour, i'm close to extensive studying. just 22 people died, but a similar site close to 1999 till 10000. so won't change the, the indian weather service now provides detailed warnings by text, message, email, phone, tv, radio, social, media,

and other websites. the messages are spread locally to the people follow their instructions. but the situation in europe is completely different and people are not yet taking the effects of climate change. serious in 2021. the storm in germany, belgium, i'm the netherlands killed, more than 220 people as scientists, we were, we were really shocked by, by the, the scale of the impact of slots. we certainly shouldn't be seeing the number of depths from, from the kind of fun events. the flooding was devastating. even just spice extensive research on early warning system. now though, in the city of austin and western germany, a risk based rain warning system which is under development is meant to predict precipitation amounts down to the square meter in europe. we have very good at large investments in the science of climate change. and that gives us space

the big whether full cost models that can protect things, but the further ahead of an event. but what we really need to do is understand the decisions that are being made in those local local communities. so that still work to be done and what your opinions could really learn a lot from all the countries local emergency teams have to prepare as best they can for disasters. and so they need really good maps that are perfectly up to date. that's with humanitarian open, straight map team comes in. the global n g o provides mapped off for disasters to achieve this employee open source programs. an artificial intelligence. most of the times when it defies to happens where you would like to have sister spun does, do you see permission to speak to as possible to aid to the response so, but to be safe people's lives. online volunteers from across the globe can help

provide data for regions that are unmapped or have errors or they gonna update them after natural disasters. and the digital technology really helps. we have quite a number. you still making ups, but we use within hot develop but mostly of what to kim and this we use them to speed up collection of real time points of interest. and we also have um my delivery, which we used to collect level imagery. did you have a real time to do what is happened? the map with a i service helps users plus new data in open street map. the program uses machine learning to suggest in the streets and pads the humans later have to verify and maybe add missing details to the combination of human and artificial intelligence is meant to help with responding to natural disasters quickly and adequately. we will have a system where a satellite imagery looks at the place that they've been as being flooded. for

example, the identified gary as we will have deepening distress within my social media with some some sentiment that natalie just mentioned. learning technology to see if we can locate a better sam drawings. we wouldn't be jumped ecology to go like highlight people roof for rescue ration. and this quote, for example, guided people on the ground that will then be able to save lives. even for me, it's an example of what for the assistant intelligence system that will be very useful satellite pictures, drones and image recognition software based technologies can save lives during natural disasters. i reckon it's good that things designs us. we can react better to storms, fires, and drops. now, do you receive digital warnings before natural disasters struck in your country? let us know and write to us on youtube and d. w dot com. thanks for watching and see you next on the

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