Scientists at the Bariloche Atomic Energy Center (CAB), which relies on the National Atomic Energy Commission (CNEA), Laila KazimierskiI created a system for artificial intelligence (I) identify Sound plays in real time For safety and the environment. This device implements the following technologies: machine learning This records and stores audio, which is instantly classified by a trained model. This is a major advancement in the use of this set of technologies. Koni set.
This technology could form the basis of biodiversity conservation projects, enabling autonomous environmental monitoring with advanced algorithms.
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Kazimierski, a researcher and project pioneer, carried out the project in collaboration with the Argentine software company and Field Programmable Door Matrix. EMTECH S.A.“These collaborations are key to staying at the forefront of technology,” said Guillermo Guichal, CEO of .
In this regard, Mr. Kazimierski emphasized the strengthening of joint capabilities between the two countries. Koni set and EMTECH.
Laila Kazimierski: “Without automation, manual analysis of acoustic signals can take weeks or months.”
system promoter artificial intelligenceLaila Kazimierski meant that “without automation, manual analysis of acoustic signals can take weeks or months.”
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In contrast, the following model: machine learning A trained person can perform this task in seconds, optimizing workflow and analysis of results.
“If a model is properly trained, it can reason in real time and make decisions based on what it detects,” Kazimierski said.
of artificial intelligence continues to expand its presence in various areas of daily life, from task automation to complex decision-making. One of the areas that has grown the most in recent years is machine learning applied to electronic systems that can operate without an internet connection.
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How does the real-time sound identification AI system developed by CONICET work?
progress of machine learning Electronic systems allow devices such as sensors and microcontrollers to operate autonomously and efficiently without the need for an Internet connection.
In this sense, members of the Department of Statistics and Interdisciplinary Physics at the Bariloche Atomic Center emphasized that “one of the team’s most notable achievements is the development of a system for monitoring and classifying the acoustic signals of bird calls in real time.”
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Scientists point out that this type of technology allows environmental monitoring to be carried out without continuous human intervention. The same logic can be applied to crisis situations, from emergencies in public spaces to industrial machinery breakdowns.
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