Scientist at the Bariloche Atomic Center (CAB), of the National Atomic Energy Commission (CNEA), Leila Kazimierskicreated a system artificial intelligence (i) Which determines Real time sounds For safety and environment. The device implements techniques Machine learning It records and stores audio, which is classified instantly by a trained model. It is a significant advance in the use of this set of technologies before Conisit.
This technology could be key to biodiversity conservation projects, allowing the environment to be monitored autonomously through advanced algorithms.
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Researcher and project leader Kazimierski implemented this project in partnership with the Argentine software company and Field Programmable Door Matrix, Emtech SAwhose CEO, Guillermo Goechal, noted that “these associations are key to staying ahead of the technological curve.”
In this regard, Kazimiersky stressed the strengthening of joint capabilities between the two countries Conisit And Emtek.
Leyla Kazimierski: “Without automation, analyzing manual audio signals could take weeks or months.”
System promoter artificial intelligence“Without automation, manual analysis of audio signals could take weeks or months,” Leyla Kazimierski says.
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On the other hand, a model Machine learning Trainers can perform this task within seconds, improving workflow and analyzing results.
“If the model is trained properly, it can reason in real time and make decisions based on what it detects,” Kazimierski said.
the artificial intelligence It continues to expand its presence in multiple areas of daily life, from automating tasks to making complex decisions. One area that has grown the most in recent years is machine learning applied to electronic systems capable of operating offline.
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progress Machine learning In electronic systems, it allows devices such as sensors and microcontrollers to operate independently and efficiently, without the need to be connected to the Internet.
In this sense, a member of the Department of Statistical 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 birdsong in real time.”
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The scientist points out that this type of technology makes it possible to conduct environmental monitoring without constant human intervention. The same logic can be applied to critical situations, from emergencies in public places to industrial machinery breakdowns.
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