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Google's new AI model generates music from your brain activity. Listen for yourself

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Summary

Google has used AI to create music from text, but now they have taken it a step further by using AI to read people's brains and generate sound based on their brain activity. In a research paper, Brain2Music, researchers studied the fMRI data collected from five test subjects who listened to 15-second music clips in different genres. They then used that data to train a deep neural network to learn the relationship between brain activity patterns and different elements of music. The model was then able to reconstruct music from the fMRI data, and when tested, the generated music resembled the original musical stimuli in terms of genre, instrumentation, mood, and more. Music clips and reconstructions can be listened to on the research page's website.

Q&As

What is Google's new AI model capable of?
Google's new AI model is capable of generating music from brain activity.

How is the AI model trained?
The AI model is trained using fMRI data collected from test subjects who listened to the same 15-second music clips across different genres.

What genres of music is the AI model able to generate?
The AI model is able to generate music from genres such as blues, classical, country, disco, hip-hop, jazz, metal, pop, reggae, and rock.

How does the AI model compare to the original music stimuli?
The AI model can reconstruct music from an fMRI employing the use of MusicLM, and the generated music resembles the musical stimuli that the participant initially listened to in features such as genre, instrumentation, mood, and more.

What are the results of the AI model's generated music?
The results of the AI model's generated music are pretty incredible.

AI Comments

👍 This new research paper is amazing! It's incredible that Google can use AI to read our brain activity and generate music based on it. It's really fascinating to be able to compare the original music stimuli to the reconstructions that MusicLM created.

👎 While this research paper is interesting, it's important to be aware of the ethical implications of using AI to read our brain activity. It's an invasion of privacy and should be done responsibly.

AI Discussion

Me: It's about Google's new AI model that can generate music from your brain activity.

Friend: Wow, that's amazing! What implications does that have?

Me: Well, this research has the potential to revolutionize the music industry. Instead of relying on traditional methods of creating music, artists could use AI to generate it from their own thoughts and emotions. It could also open up new possibilities for creating music in different genres and styles. Additionally, this kind of research could be used to understand how people respond to different types of music, which could be valuable in marketing and advertising.

Action items

Research more about Google's MusicLM and how it works.
Experiment with different AI tools to create music from brain activity.
Try out the Turing test game to test your AI-spotting skills.

Technical terms

Functional Magnetic Resonance Imaging (fMRI): A type of imaging technique used to measure brain activity by detecting changes in blood flow.
Deep Neural Network: A type of artificial intelligence algorithm that is modeled after the human brain and is used to recognize patterns and make predictions.
MusicLM: A Google AI model that generates music from text.
Semantic Level: The level of meaning in language, which is used to interpret words and phrases.
Turing Test: A test designed to determine whether a computer can think like a human.