responsibilities a big picture of shift looks at the potential of a i to say, threatened to animals from whales to wireless. i made visible and i'll see you next out with more international the get ready for an exciting autumn. toyota look surprised. hi, irish. and i'm ready to dive into the hands of human to do you have you have a window to delete it from port, click on it, please go to the spot on the on expected side to side. no, it's not on the long voyage through the ocean. another humpback well with a comp time to answer the humans on that journey. but now the pride of his of wales,

of ocean conservation tend to for the we 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 mammal 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 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 stop them. the non profit 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 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 alison 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 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 dangers 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 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 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 around with a bite space, that is, it gets triggered and takes 5 quick photos of the animal as it comes to pass to get on the air. in greenville researches in the iconic blue mountains, west of sydney. the area is a tourist drive, 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 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 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 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. va isn't always that confident. 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. 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 and turn can lead to better conservation for the marine jones.

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 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 danger, 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 dataset. 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. 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 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 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 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 for 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 as a whole, different inside 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 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 minutes. this olga when the 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 regions could soon follow hey, i can go through huge amounts of data very quickly helping us understand lots of 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 time mushrooms save the world. kendra one to many people are convinced steakhouse.

the country has a thriving mushroom industry conditions there are ideal for cultivating the 2 choices. unhealthy alternative to me. you could have a visit there in georgia with the, with the most, the minute much folks here for you and the shelter for the co africa next on d, w, the 77 percent african pop sounds are electrifying audiences at global music festival park for the young generation finds its voice, it's for stars, keep the flame burning bernabei we see why the world is captivated by african music, the 77 percent, and 60 minutes on dw conflicts, crises, every single connection mapped out shows the geophysical reality. the on the board

is what makes things the way they are mapped out, navigating a changing world. now on youtube, the trees produce oxygen. we need to brief, they protect the soil and provide a home for animals and plants. and the water is a precious renewable resource. the we have some money to sustainably. so today we meet all sorts of people involved in supporting these vital copeland. it's of the us eco system, as well as those were walking with the forest. i am sandra holmes, that.