it will end it there to stay with us if you can. coming up next is our tech magazine shift looking at the potential of a i to protect the threatened animals from wales to quality unlike look. and thanks for watching and bye for now. the imagine that you're eating a hamburger and as you're biting into this juicy bird or your dining companion says to you, actually that hamburger is not made from cows. it's made from golden retrievers. 2 2 2 2 2 2 2 2 2 2 in meeting cultures around the world, people learned to classify small handful of animals with edible and all the rest of

the classify as discussing the w series about our complex relationship with animals that need to be watch. now on youtube, d. w documentary, 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 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 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 develop any 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 stuff them the non profit 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 um, so that they were 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 alerts, a sent arrangers 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 and real time they work via satellite and don't need why fi? the countries like up on san b as in 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 of them. i ship and killed by trains every year

. that's why in a warning system is being installed a long railroad tracks sensors 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 fight. as 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 around with the bite space, that 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 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 have 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 disaster, 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 a 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 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, if you need patterns on their skin, would you like caused them to be identified? the algorithms den much the patterns like facial recognition software. the wireless can be clearly distinguished by their tail fins, allowing researchers to learn more about their movements. box in 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 mary is waiting. 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 past to validate. and the a, i really takes a lot of them like brute force 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, leave no stone on terms, and 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. 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 $5.00 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 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 businesses of all the different insight pollinators locate the 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 tcp of 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 olga when the 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 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 way. the other system issue in this,

in the pianist known as the bully of classical music, is our guest at tiny house concerts. and of course, making music the next on d. w. actually ride through the guides know the way around the is strictly scientific system printing one of the places, curiosity is we try it tomorrow today in 60 minutes on d, w, conflicts, crises,

every single connection mapped out shows the geophysical reality. the on the board is what makes things to the way they are mapped out, navigating a changing world now on youtube the previously for this long document you next week. so that you most dispute because i am yes i'm yes, can you hold on? that's a good time to look vince to this good success on monday the . ready it's tiny house near the phone, some rhineland recipes the going to be try it out. please change about pianist

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