Frightening images show how AI can read your mind with 80% accuracy and record your dreams

Eerie images created with artificial intelligence (AI) have shown how scientists can read your mind – with an accuracy of up to 80 percent.

Scientists were able to reconstruct images people viewed using a new AI-powered algorithm.

1

The only algorithm needed was people’s brain scans.

“We show that our method can reconstruct high-resolution images with high semantic fidelity from human brain activity,” the Osaka University research team wrote.

They found that the algorithm was able to reconstruct images with a similar level of accuracy as a previous Cornell University study, whose AI-generated images showed a similarity of about 80 percent to the originals.

The Osaka scientists – whose study was published on bioRxiv – used the brain scans of four people who were shown 10,000 images, including a teddy bear, a train, a clock tower and someone skiing.

Scans were made with functional magnetic resonance imaging (fMRI)a brain-scanning technique that measures the small changes in blood flow that occur with brain activity.

It can be used to study which parts of the brain handle critical functions like language and memory, and to assess the impact of a stroke or other diseases.

The scans used in the study showed which brain regions were activated as participants viewed each of the 10,000 images.

The scientists then used a machine learning framework called the Stable Diffusion Model – which can create arbitrary images based on text inputs (descriptions) – to reconstruct the images; Basically read the minds of the participants.

The first research team used perceptual similarity metrics to assess how accurate the resulting images were objectively. They performed algorithm-guided identification experiments to determine whether the AI ​​images were more similar to the corresponding original image or to a random image.

They also did this subjectively by assessing whether the original images could be identified from the images generated by the AI.

“Overall, the reconstruction quality was stable and accurate in all subjects,” they concluded.

“These results suggest that our method captures not only the low-level visual appearance but also the high-level semantic content of the original stimuli,” the researchers added.

Previous studies have looked at brain activity to understand how it represents it visual content of dreams.

AI-supported technology is increasingly finding its way into the healthcare sector.

The NHS announced last year that it will use AI to identify, screen and treat those at risk of hepatitis C in a bid to eradicate the life-threatening disease by 2030.

And a pilot project in Essex is using computer algorithms to predict when patients will attend appointments based on their past records, their jobs, and weather and traffic data.

Meanwhile, experts have claimed that the AI ​​chatbot ChatGPT could help students pass an exam to qualify as a doctor.