Artificial intelligence (AI) has become a major component of the modern world. From autonomous vehicles to facial recognition software, AI plays an increasingly important role in our lives. Now, researchers have developed an AI that can reconstruct images seen by a person, based on brain scans.
The team at Carnegie Mellon University used machine learning to accurately recreate images seen by participants. The AI was able to reconstruct visual images with a high degree of accuracy, based on brain scans taken with functional MRI. Read more below.
How AI Works?
The AI of Carnegie Mellon University is based on a deep learning algorithm that has been trained to recognize patterns in brain scans. It looks for patterns in the brain scans that correspond to certain images, and then compares the scans to a library of images and tries to match them up.
The team tested their AI on a group of participants who were shown a series of images. The participants were then asked to recall the images. The AI was able to accurately recreate images seen by the participants, based on their brain scans.
AI Pros and Cons
The biggest benefit of using AI to recreate images seen by people is that it could help diagnose and treat conditions such as memory loss or visual impairments. It could also be used to help people with learning disabilities or autism.
On the other hand, there are some potential drawbacks. For example, the accuracy of the AI’s recreations could be affected by factors such as the quality of the brain scan or the individual’s mental state at the time of the scan.
The AI has many potential applications, but it’s important to consider the pros and cons of using such technology, and to always keep studying and testing its functionality.