What does the sound of coral reefs look like while dying? Artificial intelligence answers

He sits in silence in his apartment in London in silence, while he awaits his audience for a specific voice, he will get to know him when he hears. He says that the short pebble will cause you very scary. Williams, a doctorate in marine environment at the universal College London, listens to the sound recordings of the underwater recorded in the vicinity of the Indian and calm environment, in search of sound evidence for fishing by bombing, a devastating practice in which explosives are used to kill or paralyze fish. The results of Williams are very important for Google Deepmind, where he works as a researcher, as it uses it to train an artificial intelligence instrument known as Surfperch. Make use of artificial intelligence in the field of environments. Environmental scientists have used vocal data to determine potential risks, such as overfishing, fishing by bombing, to estimate animal census and evaluate the safety of the ecosystem. But computers can perform the same task faster. While a person can take weeks to investigate 40 -hour sound recordings, Williams indicates that “Serf Berch” can perform the same task within seconds, once they practice. He said, “It can increase the size of the data we use ten times.” Serf Berch can currently get to know 38 nautical voices, including the clicks issued by Dolphins and the flesh of Damon’s Fish. The instrument is trained in the sound clippings that scientists collect from all over the world, including the “Colling Incoras” program, which is run by Google, which uses volunteers and marine environmental scientists to identify votes in the oceans. Google Ars and Culture, the purpose of the “Service Berch” is the exploitation of artificial intelligence to accelerate the rate of nature. Voting monitoring obtained “Google” momentum is not the only party to believe in the event. While pollution, the removal of forests and the change of climate has led to the reduction of the area of ​​wildlife, and the extinction of species at a rate more than 10,000 times, the need to understand important ecosystems, and the use of artificial intelligence in the promotion of phonetic monitoring is used to detect elephants in the Congants and the decomposes of the Congants. According to Conrad Young, founder of ‘Chirrup.AI’, based in London, businesses are also concerned about biological diversity intelligence. Since the beginning of its activity in 2022, the boot business has done a balance between birds using artificial intelligence in favor of more than 80 farms in the UK and Ireland. Cherrab collects 14 days from a place from a place, and then uses its algorithm, which can identify almost all types of local birds to count and classify the number of species. Note that the greater the number of species, the more the environmental safety is improving. “Biodiversity is an important factor in terms of risk and opportunities in the supply chain,” Young said. Farms with a prominent record (in biological diversity) can be rewarded with government support, and companies have increasing regulatory pressure to reduce their environmental mark. The accuracy of artificial intelligence under development. France has included the risks of environmental diversity within the compulsory disclosure that financial institutions offer, and can follow more countries. In 2022, 195 countries signed an agreement aimed at protecting and renewing at least 30% of the planet’s water and its justice by 2030. Companies that use artificial intelligence in ‘eavesdropping’ indicate the biological diversity that it is a faster and lowest cost of human use, and applying this technology to a large scale is easier. However, its accuracy is still being developed. For example, Cherrab devoted a bird world to examining samples from the results of their algorithms, and to judge the degree of confidence for every type recognized. “The reality is that all these instruments don’t work well,” says Matthew Makkon, the founding partner of “Conservation Metrics”, based in Santa Cruz, California. His company started using artificial intelligence in 2014 to process large collections of important sound data, and contributed to about 100 environmental protection projects last year. Macokon believes that the quality of the algorithm performance depends on data training alone, and honestly there is not enough sound data on rare animals. The problems in tropical forests are increasing, habitat of many areas full of biological diversity, but there are some sound detectors. It is also difficult to identify some species. For example, the trumpet bird makes a noise. According to Tom Denton, ministry program engineer, promising technology is more complicated in the first stages of water sounds. Most types of fish, sharks and devil’s fish make noises with a low way that are difficult to capture, while noise is caused by human activities, such as marine drilling, transmits long distances and can darken the sounds of wildlife. Although artificial intelligence can help evaluate environmental systems, there is doubts about how data is used to support environmental conservation. Unlike attempts to reduce climate change, focusing on reducing greenhouse gas emissions in the atmosphere, there is no united standard to protect biological diversity, and even the goal of protecting ‘30% by 2030 ‘, which offers a large interpretation field. Williams of Google Depp Mind acknowledges that the exploitation of artificial intelligence in environmental protection is still at an ‘early stage’. However, the initial results appear to be just as much. For example, the training of the algorithm to identify the sound caused by bombing by bombing helps to gather concrete evidence of illegal practice in many countries, although it remains relatively common. The coral reefs “Serf Berch”, which represents extremely important environmental environmental systems, also monitor an estimated $ 2.7 trillion of goods and services annually. There is the instrument of artificial intelligence practical limitations by focusing less on the single species, and focusing more on the ‘vocal environment’ in coral reefs, that is, the sounds issued by all the types in which they are combined. Artificial intelligence learns to distinguish between the vocal environments of the protruding and healthy coral reefs, a framework that can be used to judge renewal efforts, or to determine the times when needed to prevent commercial hunting.