talk in germany in our following bulletins. next shift from me at the used team here in berlin. thanks so much the v w. this is the, is available to them and it hasn't made up in some sense the amount of is increasing every so many. i'm kind of working on like so suppose the work that is holiday destination is a drowning cost. at the cost every year, you're exposed to over $1000000.00 tons of plastic. why is there another way officer rolls? the environment is not responsible. make up your

own mind dw, made for mines. the we are living in an area of mass extinction, one unmatched, and the last 6 to 6000000 years since the dinosaurs were wiped out of a quarter of old mammals species and one in a broad species on the brink. but can i help save them today? on shift and it is not only natural, these offices and climate change, the threat of wild life poll shows, for example, to over 20000 african ellison's every year ranges and national parks have been struggling to prevent the practice. but that's non profit organizations. heck, the planet has developed and the camera system to detect poachers and sound the alarm in real time. and a trigger warning us might find some of the following imagery distressing african

elephant populations have fallen drastically in the last century. one major cause poachers. they want their ivory to stuff them, the nonprofit organization, heck the planet has found a way to modify the existing camera trips these uh, these cameras, we call them the dump cameras. we. we make them smarter, so we modified, i'm a little so so that they are unable to communicate with a box that we created. we manufacture these amazing, able to communicate and send the photos wirelessly and analyze these photos using ai. so we have a machine learning algorithm on there analyzes the photo and then we immediately know what's on the photo if it's a human or it's and alison if a person is detected and alert a sent arrangers immediately this way, they can react quickly to potential poachers. which wasn't possible before these range are units. oftentimes they just find an edison's carcass. uh and, you know,

then then the poachers are already gone, like maybe one week or 2 weeks ago. and they don't have any information to go from . because it, you know, they don't know where they came in or where they went out because it's such a huge area. ready the smart devices make is much more likely to catch intruders in real time. they work via satellite and don't need why fi? the countries like the bond sandia and some bob way had already implemented the smart camera trends. for the endangered african elephants and those who protect them, the technology could mean the difference between life and death in india, amazons, and called a different dangers to around 20 of them, i ship and killed by trains every year. that's why and a i warning system is being installed

a long railroad tracks. sense of identify migrations on the ground caused by elephants and sent a warning signals to prevent collisions. it's on thought at lee an issue, but one was by the threat of global warming. 2023 was characterized by devastating fires around the world. greece, spain, hawaii, canada. in australia i, technology is now being used to help protect animals like the kangaroo and the koala. from the effects of bush fires, a koala is on the move under the cover of night. just like these wallabies, the kangaroos, smaller cousins for australian wildlife conservation. these images are a small victory. using camera traps, they are trying to find out how well different animal species are recovering from bush fires. so the camera takes the animals by a combination of movement and hate from the animals. so as the animal looks past,

the camera usually event with a bite spacing is if it gets triggered and takes 5 quick photos of the animal as it comes passed. guess on the air. in greenville researches in the iconic blue mountains, west of sydney. the area is a tourist draw, but is also prone to bush fires. that's why it was included in w w. f. us really is large scale camera sensor project i, as on recovery. about 1100 camera traps were installed all over the country, especially in areas damaged by the bush fires of 20192020. the cameras generate millions of photos helps researchers analyze the data. ready the artificial intelligence is actually enabling them to sort through these images much more, much more rapidly. so it's basically improving their efficiency so they can go out

and do you know, the work of the work that they need to do to manage that of spaces recovery, for instance, after collecting the photos from the cameras, researches upload them to an, a model called wildlife insights the google powered platform has a database of over 35000000 images and is being used by wildlife organizations all over the world. detects what kind of animal is seen within an image and labels that accordingly helping research move along more quickly. ready that we find ourselves in this point in time where climate change is is meaning we're having more frequent fires, not just in australia, but across the entirety of the world. so projects like eyes on the cover that developed technology that can help us to assess impacts more rapidly just absolutely crucial for understanding future fire events in australia and across the

world. well, the blue mountains look lushin green. now, it is just a matter of time before the bush fires return and the animals suffer. the system won't save the animals in the event of this aspect, but knowing where they live and how many they are is extremely important for conservation. but how do the databases work? we ask them to explain it for us. it's as easy as drag and drop. researchers upload photos to one's life insights within seconds, image recognition, i identify as the animal. so when a research or a biologist uploads their camera trap data to the wildlife insights platform in our artificial intelligence model looks at the images and based upon what we, what we shown it before, it makes the prediction on what it thinks it sees inside the image. the i matches

the photos to animals that has been trying to recognize the database contains entries for over 3000 animal species. a value of one means absolute certainty. so 0.99, just from this image of an elephant, the trunk is very close. indeed. va isn't always that confident, for example, when distinguishing a leopard from a judge you are on so platforms the i can even recognize individual anonymous sharks, for example, of unique patterns on their skin. would you like caused them to be identified? the algorithms den much the patterns like facial recognition software. ready wireless can be clearly distinguished by their tail fins, allowing researchers to learn more about their movements box and turn can lead to better conservation for the marine jobs

but sometimes pictures alone the enough way, as for example, rarely come to the surface. that's why scientists also use sounds to find out more about them. sounds like this. what do you hear a, uh, the cause of the various ways of specie is recorded in the alaska sound samples like these, collected worldwide the problem microphones, folding victim to interference. but with the use of a i, we so it says that able to filter the interference out. and here they called and our pre owned is mostly an efficiency thing. if you apply it a, i, it kind of figures out the easy decisions for you. and then it lets your expert look at the areas where they, i'm so sure, and it allows the experts do with the best to validate. and the a, i really takes a lot of them like 3 fourths out of the. so we have estimated that it saves as much as like 96 percent of our time. the sounds can even be assigned to individual way

of specie is. but why is this important? well, some specie is like this right away. and here, critically and agent, we found a call like just kind of a cryptic call. we didn't know who it belonged to, but we thought it might be a essentially right. we'll call, we're able to search our entire lives. we would never been able to do that without a i, and for a population of 30, you know, every data point counts because they're super rare, you really don't expect to find them. so having, having tools allow you to call these huge datasets, we've noticed on terms a, this is essential for populations like that. but it's not just the ocean designs that are threatened with extinction. insights in particular addressed european populations are declining sharply, but a i can help you too, by showing us what these really need to try to design their own garden. it would look like this. the, at least, according to alexandra daisy ginsburg,

the garden in front of berlin's natural history museum is her art project. as an algorithm, as chosen, which plans are to grow here? every time we run the algorithm to create a new prompting scheme, the algorithm is optimizing the tom thing choices and arrangements to solve the most 5 bucks on an 18 species possible. so these were most and many more following the algorithm, specifications, ginsburg entertain, planted 7000 plants, here in the heart of berlin. the project is called pollinators, half maker, to develop the algorithm, ginsburg, and our team research, the exact needs of local pollinators. the algorithm then generated a planting schematic with $150.00 plants. species even calculates how the garden will change throughout the year. the,

the algorithm chooses plots that are appropriate for each location, set the soil conditions, sunshine, so on. and then it arranges, it takes a subset to create unique schemes every time. i'm then arranging them in ways that see different charging style up to my business as a whole. different insect pollinators locate their food in different ways. some insects, such as bees memorize the locations of flowers and develop efficient flight routes to visit thousands a day. on the i will look most on disappear. the algorithm anticipates the pollinators flight path. so we'll see, that's what the planting pattern is based on the data for the minutes. this a olga window voice. oh, it's a, it's a by, it looks unusual to the human eye, but it's designed around the weight and sex moves around the garden in the garden. just, i don't answer. you can use the algorithm yourself to calculate

a plan for an insect friendly garden, free of charge. the web based tool is optimized for your opinion, wildlife, but models for other regents could soon follow hey, i can go through a huge amounts of data very quickly helping us understand the local greenery and even large and complex eco systems. this new technology has become an integral part of conservation. that's all from me. take care to him next time by the 77 percent. african pop sounds are electrifying audiences at global music. festivals in the heart of the younger

generation finds its voice, its superstars keep the flame burning bernabei. we don't see why the world is captivated by african music. the 77 percent next on dw, the mirrors will tell. here we are happy that we are back to the story. we have a getting a visa is more difficult than finding gold hosted to you for the, for the present in their stories and issues that are being discussed across the country. news africa. in 60 minutes on d. w. get ready for an exciting, auburn toyota for look, surprised. hi, irish. and i'm ready to dive into the hands of to me to you one,

do you have you have a one the front porch and the unexpected side to side? no, i said, can you imagine your life without music? because i definitely caught cooking. i need music. walk in, i need music or even while just relaxing. and this can be any genre. well, in the 377 potential, we to add some of your best african musical festivals aust fence, but music they like. and we got close to some of the giants of african music. so stay tuned for that. hello and welcome to the show. i am your host ok to english, and that is a big big of what's on the show today. we often use the glove was af, after nathan in for to go up into music preferences.