Google has teamed up with Japanese researchers to create a generative AI model that can turn brainwaves into music. Music is played through brain activity, captured using functional magnetic resonance imaging (fMIR), and reconstructed using Google’s AI MusicLM. The study was called Brain2Music, and this week the company shared some of the results of the study.

Google is investing in new resources, and Brain2Music is an interesting result of Big Tech’s partnership with researchers in Japan. According to the published article, 15-second clips of 540 songs from ten different genres were randomly selected. Five participants listened to clips through MRI-compatible headphones, during which their brain activity was scanned.. After that, AI MusicLM transmitted the data, and the AI-generated music showed similarities with the original audio clip.

Meet Brain2Music

Meet Brain2Music

Google has opened a website where it shows some search results. You can access it from this link and check out the sound generated by brainwaves.. It is interesting to note that the audio tracks generated by artificial intelligence actually bear a resemblance to the original music. Despite the interesting results, Google says there is still a lot of work to be done, and fMIR’s limitations make data collection difficult.

Sound reproduction or sound modeling seems to be one of the biggest interests of tech companies when it comes to artificial intelligence. Whether it’s cloning someone’s voice, or using sound data to make someone say something they’ve never said before, we can see how AI will be widely applied when it comes to sound. At this point, it seems premature to say that our brainwaves will be used to create music, after all, volunteer researchers had to stay inside the MRI machine for hours until all the data was collected. Who knows, if researchers speed up the process, we won’t have people making music with their brains.

Slack is undergoing a major redesign and is getting a more objective interface
The new platform layout promises easier navigation and fewer visual distractions.

Source: Brain2Music

…..