< IMG SRC = "/Uploads/Blogs/C6/72/IB-FQTM9ie5J_CD247A8E.jpg" Alt = "Artificial Intellect has accelerated the analysis of ocean sounds"/> < p > Innovative neural network developed by researchers at the Wood-Holsk Oceanographic Institute, processes the sounds of the ocean in real time and determines the activity of fish 25 times faster than a person that opens new opportunities for conservation of marine ecosystems.
~ < p > Coral reefs are key to ocean biodiversity. They occupy less than 1% of the ocean area. They provide an environment for 25% of all marine species. The variety of reef creates difficulties for researchers.< P > Traditional monitoring requires a lot of time and effort. Scientists used submarine registrars to record sounds. The analysis of such data needed manual processing of long records. & Amp; nbsp; < strng > Identification of fish & rsquo; sight sounds required hours of listening to materials by scientists. 62 < H2 > Problems of traditional monitoring
< p >Existing research methods have serious restrictions. Passive acoustic monitoring generates large amounts of data. Analysis of this information manually is extremely slow. Signal processing tools cannot recognize specific fish sounds.
< p >< Em > & laquo; for people who do it, this is a horrible job, if honest & raquo; , & ndash; Notes the author of the study Seth McKammon. According to him, such analysis is incredibly exhausting. Record processing takes a long time and focus. Researchers spent hours listening to ocean sounds.
< P > The slowness of traditional analysis critically limits its usefulness. World coral reefs are threatened by climate change. & Amp; nbsp; < Em > & laquo; to analyze data to such a level, a person needs years & raquo; , & Macammon emphasizes. Such analysis terms make it impossible to respond rapidly to ecosystem changes.
< h2 > Innovative artificial intelligence -based solution< p >Researchers have developed an alternative approach based on neural networks. Their algorithm is capable of analyzing audio recordings in real time. The system demonstrates accuracy comparable to experts. However, artificial intelligence works 25 times faster.
< p > This technology opens up new opportunities for maritime research. Scientists plan to integrate a neural network into different devices. Among them & ndash; Floating moored for real -time monitoring. Also developed autonomous curee underwater.
& laquo; now, when we no longer need a person, what other devices other than voice records, we can use ? & raquo; & ndash; Macammon reflects. < P > This technology can be installed on different platforms. & Amp; nbsp; < strong > Automated systems will be able to detect and map the hot spots of biological activity without human intervention. < p >
< h2 >Future prospects and values to preserve reefs
< p > New technology can help solve the fundamental problem of bioacoustics. Scientists seek to compare every unique sound with a specific type of fish. Currently, for most species, this is the case; Rsquo; no. Automated monitoring will speed up sound identification.
& laquo; for the vast majority of species, we have not yet reached the moment when we can say with certainty that the cry comes from a certain type of fish & raquo ;, & ndash; The researcher notes. < p > he calls it & ldquo; holy graal & Rdquo; Marine bioacoustics. Real -time recognition will allow you to create devices at the same time heard and see fish.
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< p > This revolutionary solution is important for preserving marine ecosystems. It will allow you to respond promptly to changes in fish populations. Researchers will be able to detect species much faster. & Amp; nbsp; < strong > The ability to monitor health & rsquo; i reefs in real time will be crucial for their survival in climatic changes. < P > Seth McKammon hopes that its development is transformed by environmental monitoring. Neural networks will help to create a detailed picture of reef dynamics. Quick processing will allow you to respond in a timely manner. In the era when coral reefs need urgent protection, this technology is extremely valuable.