Artificial intelligence can create images based on text prompts, but scientists unveiled a gallery of pictures the technology produces by reading brain activity. The new AI-powered algorithm reconstructed around 1,000 images, including a teddy bear and an airplane, from these brain scans with 80 percent accuracy. Researchers from Osaka University used the popular Stable Diffusion model, included in OpenAI's DALL-E 2, which can create any imagery based on text inputs. The team showed participants individual sets of images and collected fMRI (functional magnetic resonance imaging) scans, which the AI then decoded. Scientists fed the AI brain activity from four study participants.,

An artificial intelligence can accurately translate thoughts into sentences, at least for a limited vocabulary of 250 words. The system may bring us a step closer to restoring speech to people who have lost the ability because of paralysis. Joseph Makin at the University of California, San Francisco, and his colleagues used deep learning algorithms to study the brain signals of four women as they spoke. The women, who all have epilepsy, already had electrodes attached to their brains to monitor seizures. Each woman was asked to read aloud from a set of sentences as the team measured brain activity.