Lifeboat Foundation

In this article, Roman Ponomarenko, sound designer and composer with 20+ years of professional experience, explores the transformative potential of AI in sound design and what this means for the future of music.

Artificial intelligence (AI) is already making significant progress in music and sound design. However, will the sophisticated AI of the future eventually replace human professionals in these fields? Navigating such a complex issue proves to be quite challenging, as AI brings forth a mix of exciting opportunities and daunting challenges.

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We often try to distinguish between what is alive and what is a machine, and note that machines can’t reproduce or fix themselves, but that may soon change.

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Continue reading “Self-Repairing Machines” »

Neural networks biological and artificial.

Neural Networks have found applications across various domains due to their ability to learn from data and improve over time without human intervention. They can solve challenging problems that are hard or impossible to solve using traditional methods. Here are some of the examples of how neural networks and artificial neurons are used in real-world scenarios:

Voice assistants: Voice assistants like Siri and Alexa use neural networks to understand spoken language commands and questions. They use trained models based on artificial neurons processing vast datasets of speech and text data. They can also generate natural-sounding responses and perform various tasks, such as playing music, setting reminders, searching the web, etc.

Continue reading “Neural Networks: From Biological to Artificial” »

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