hostages as a threat. we will and if they're up next, our tech show shift explores the potential for artificial intelligence to help protect plants and animals that or threaten with extinction. that's after the brain, a micro logo for me and the rest of the berlin news team. thanks for watching and do stick around if you can. the, the, the, the, it is some of the coverage, the more people than in such a professional life. but a crisis within pod for somebody that's sort of the best the

best and find out adult bailey story info, migraines, reliable news for migrant. wherever they may be. the 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 all mammals species and one in a species are on the brink. but kenny, i help save them today on shift it is not only natural, these losses and climate change that threaten why is life po chose, for example, kill over 20000 african elephants every year ranges and national parks have been struggling to prevent the practice. but that's non profit organizations, heck the planet has develop and the camera system to detect poachers and sound the

alarm in real time. and a trick, a warning view, as 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 stuff them, the nonprofit organization, heck the planet as found a way to modify their 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 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 analyzes the photo and then we immediately know what's on the photo if it's a human origin. alison, if a person is detected, an alert sent to rangers 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, the, the smart devices make is much more likely to catch in traders in real time. they work via satellite and don't need why fi 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 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 identifying operations 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. hey 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 the bite spacing is if it gets triggered and takes 5 quick photos of the animal as it comes passed, i guess on the aaron 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. eyes 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. 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, 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 looked 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 truck admission. 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, most of the 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, the trunk is very close. indeed. a v i 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,

allowing researchers to learn more about their movements. backs and turn can lead to better conservation for the marine jobs. but sometimes pictures alone enough waves, for example, rarely come to the surface. that's why scientists also use towns to find out more about them. sounds like this. what do you hear a, uh, the cause of mary as well. specie is recorded in alaska sound samples like these. i 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 in our field is mostly an efficiency thing. if you apply 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 sped. why is this important? well, some specie is like this right away in here. critically, and they just, 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. well, call wearable the surcharge hired is 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 that allow you to call these huge datasets, leave no stone 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 as her art project. as an algorithm, as chosen, which plans start 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 diverse group upon and 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 pollinate, or pass 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 locations that 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 different charging style. optimize is of all the different insight 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 most on the algorithm anticipates the pollinators flight path. so we'll see, that's what the planting pattern is based on the data for the men special alga, legal voice. oh, it's a, 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 regents could soon follow hey, i can go through huge amounts of data very quickly helping us understand local greenery and even large and complex ecosystems. there's new technology has become an integral part of conservation. that's all from me. take care to him next time by the,

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