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Google’s AI: Transforming Thoughts into Music

Google, the well-known tech powerhouse from the United States, is pushing the boundaries of artificial intelligence with an extraordinary new venture: “Brain2Music”.

This cutting-edge AI model is engineered to interpret human brain waves and translate them into musical notes, thereby generating music. This breakthrough marks a significant stride forward in the AI sector.

Previously, Google and Meta have each developed AI models that can produce music based on textual inputs. Google’s MusicLM, in particular, has already made waves with its capability to turn text descriptions into music.

Nonetheless, Brain2Music is poised to revolutionize our comprehension of AI’s potential in the realm of music creation. Currently under research, this technology holds the promise of lifting the AI experience to an unprecedented level once it is fully functional.

Google's AI: Transforming Thoughts into Music

Google engineers have meticulously collected 15-second snippets from a vast spectrum of music genres, including jazz, metal, hip-hop, and classical. Alongside this eclectic musical assortment, specialists have employed functional magnetic resonance imaging (fMRI) to study human brain waves.

Through their research, they identified a connection between musical notes and brain wave patterns. By refining this relationship with machine learning techniques, Google has developed an AI model dubbed Brain2Music.

By integrating Brain2Music with Google’s pre-existing MusicLM, the team has accomplished the impressive task of converting brain waves into music. This merger marks a substantial progression in the domain, illustrating the capacity of AI to forge a distinctive and personalized musical experience derived from individual brain wave patterns.

Brain2Music is in its infancy right now. However, Google says that work on this artificial intelligence model will continue. If all goes well, Brain2Music could be used to achieve unprecedented work. If you want, here You can access some of the audio recordings created using the link found.


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