AI and Neuroscience: The Next Frontier in Medical Science?

Published On Sat May 13 2023
AI and Neuroscience: The Next Frontier in Medical Science?

Can AI read your mind?

In recent years, there has been a shift towards newer methods of reading the human mind with the help of artificial intelligence. The scientific community has been witnessing breakthroughs in this field, the most recent of which comes from the University of Texas at Austin. They have developed an AI model called semantic decoder that can read your thoughts.

The technology behind this innovative method is a transformer model similar to the ones used by Google Bard and OpenAI’s ChatGPT. With the help of this AI-based decoder, the brain activity of people can be translated into a stream of text. The objective of this new technology is to assist people with paralysis or other forms of disabilities in a non-invasive manner.

During the study, three individuals were asked to listen to stories while being assessed by MRI machines. The researchers claim that the technology captured the main points of their thoughts and produced the text of their thoughts without the need for any brain implant. However, it is important to note that the AI system did not exactly replicate their thoughts in their entirety.

According to the researchers, the AI system can generate a stream of text when a person listens to or imagines a story. They were able to achieve this by using a technology similar to ChatGPT to interpret the thoughts of people while they were watching silent films or when they imagined themselves telling a story.

While this new development is a leap forward compared to what has been done before, there are concerns about mental privacy. The technology can potentially reveal private thoughts, which raises questions about the ethical implications of such developments.

Overall, the development of the semantic decoder model is a significant breakthrough in the field of neuroscience and medical science in general. With further development and training, this technology could prove to be an invaluable asset in the field of medicine and assistive technology for people with disabilities.