a meeting cultures around the world, people learn to classify small handful of adults with edible, all the rest of the classify as disgusting. w series about a complex relationship with animals. the gratian needs to bait what's, you know, on youtube, dw documentary. we're living in an area of mass extinction, one unmatched, and the last 6 to 6000000 years since the dinosaurs were wiped out over a quarter of old mammals species and one in a broad species on the brink. but kennedy, i help save them today on shift and it is not only natural, these offices and climate change that threatened wildlife poll chose, for example, kill over $20000.00 african allison's every year range as a national parks have been struggling to prevent the practice. but that's non profit organizations. heck the planet has developed in a 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 ellison populations have fallen drastically in the last century. one major cause poachers, they want their ivory to stop them. the nonprofit organization hacked the planet as found a way to modify the existing camera trips these uh, these cameras, we call them the cameras we. we make them smarter, so we modified, i'm a little so um, so that they are unable to communicate with a box that we created. we manufacture these um and make them able to communicate and send the photos wirelessly. and we analyze these photos using ai. so we have a machine learning algorithm on there and analyzes the photo, and then we immediately know what's on the photo if it's a human or it's, and allison's if a person is detected and alert, sent to rangers immediately,

this way they can react quickly to potential poachers, which wasn't possible before these range or 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 smart devices make it much more likely to catch in traders in real time. they work via satellite and don't need why fi? the countries like up on san diego and some bob way have 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, allison's and killed a different thing just to around 20,

over the my ship and killed by trains every year. that's why in a warning system is being installed a long railroad tracks sense those identified vibrations on the ground caused by elephants and sent a warning signals to prevent collisions. it's undoubtedly 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, a 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 congress smaller because of the 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 a band with the bite station is if it gets triggered and takes 5 quick photos of the animal as it comes past, guess on the air. in greenville researches in the conic 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. eyes on recovery. about 1100 camera traps were installed all over the country, especially in areas damaged by the bush layers 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 species recovery, for instance, after collecting the photos from the cameras, researchers 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 asked them to explain it for us. it's as easy as drag and drop. the researchers upload photos to one's life insights within seconds, image recognition, i identifies 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 to be images and based upon what we, what we shown it before and makes, it predicts 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's trunk is very close. indeed. va isn't always that confidence, for example, when distinguishing a leopard from a judge, you are on some platforms the i can even recognize individual anonymous sharks, for example, of unique patterns on their skin, which allows them to be identified algorithms, then much to patterns like facial recognition software, the wireless can be clearly distinguished by their tail fins,

coloring researchers to learn more about their movements, backs and turn can lead to better conservation for the marine jobs but sometimes pictures alone, the enough waves, 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 various ways of speech. she is recorded in the alaska sound samples like these. i collect and worldwide the problem. microphones, folding victim to interference, but with the use of a i, we so it says that able to filter at the end of here is out. and here they called and our field 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 eyes and so sure. and it allows the experts do with the past to validate. and the a, i really takes

a lot of them like brute force out of that. 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 accepted 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. 2 and for a population of 30, no, 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, 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. 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 taunting choices and arrangements to have the most 5 bus one and 18 species possible. so these was most and many more. following the algorithms that certifications, ginsburg entertain, planted 7000 plants here in the heart of berlin. the project is called pollinators, half maker, to develop the algorithm, ginsburg, and her 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 old bit of incense 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 that i will look move on to the algorithm, anticipates the pollinators flight path. so we'll start, that's what the planting pattern is based on the data for the men special alga, legal voice. oh it's, it's about, it looks unusual to the human eye,

but it's designed around the weight and sex moved around the garden in the garden, just i don't answer. then. 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 regions could soon follow hey, i can go through huge amounts of data very quickly helping us understand local greenery and even large and complex eco systems. there's new technology has become an integral part of conservation. that's all for me. take care to next time by the

co india. the house is cross and the account needs to stay growth. goals of the time on the do a race and with extinction because they main fixel's is disappearing. environmentalists and fishermen on the pricing for the survival of this graph, b. c. eco indian. first human at d, w. a pulse. beginning of a story that takes us along for the ride. it's about the perspectives culture information. this is the the news w. mine's

the get ready for an exciting auditorium full of surprises. i'm shutting down and i'm ready to dive into the house of tillman to us. you have you have a one does not do need the support of this card via included us on the vehicle despite this process and unexpected size of life enjoyed. so what i mean, i know people go by i might just do it and i'm hoping dw newport costs, thanks. trace amount, but it's still actually about mills. so it has to be traveling around your, facing the history of every day of that. and that's something right around the world, and i need to talk to you about justice, subscriber id, listen to podcasts, and we'll take you along to the right. the

. this is the w use line from the the in the un security council prepares for a new vote over the finding in gaza. the way so just these rounds of scale packets defensive as international pressure grows over the number of civilians being killed . as well as military campaigns, fonts, attacks on one of the world's most by whom shipping roads. we looked at the impact on trade at the new mission to protect investments in the red sea. more than a 100 people, the debt after a pound flows quake hits china is southwest southwest product.