A tweak to a popular text-to-image-generating artificial intelligence allows it to turn brain signals directly into pictures. The system requires extensive training using bulky and costly imaging equipment, however, so everyday mind reading is a long way from reality. Several research groups have previously generated images from brain signals using energy-intensive AI models that require fine-tuning of millions to billions of parameters. Now, Shinji Nishimoto and Yu Takagi at Osaka University in Japan have developed a much simpler approach using Stable Diffusion, a text-to-image generator released by Stability AI in August 2022. Their new method involves thousands, rather than millions, of parameters.

A tweak to a popular text-to-image-generating artificial intelligence allows it to turn brain signals directly into pictures. The system requires extensive training using bulky and costly imaging equipment, however, so everyday mind reading is a long way from reality. Several research groups have previously generated images from brain signals using energy-intensive AI models that require fine-tuning of millions to billions of parameters. Now, Shinji Nishimoto and Yu Takagi at Osaka University in Japan have developed a much simpler approach using Stable Diffusion, a text-to-image generator released by Stability AI in August 2022. Their new method involves thousands, rather than millions, of parameters.