Douglas Helm issued
A group of Japanese researchers has discovered yet another interesting way to use AI technology. A recent research project led by a team from the Institute for Quantum Science and Technology (QST) and Osaka University was able to translate human brain activity to describe mental images of objects, animals, landscapes, etc. . They published photos of their research, and the results were quite surprising.
One of the images that the AI technology was able to decipher from brain activity was a lifelike depiction of a leopard with detailed features such as spots and ears. Another image depicted an airplane. Although there have been technologies that have been able to reconstruct images from brain activity, this is one of the few studies that has been able to visualize these mental images.
Of these previous studies, the images that could be decoded were fairly limited to a few categories, such as human faces, letters, and numbers. This new AI brain decoding technology appears to be able to decode a wider range of images from the human mind. As the study’s researchers note, “visualizing the mental image for any natural image is an important milestone.”
To conduct this fascinating study of the human mind, the team had participants view approximately 1,200 different images and used magnetic resonance imaging technology to analyze the brain signals associated with the images. An AI will be trained based on this mapping and will eventually be able to decode images from brain activity and display the results visually. The researchers noted that the technology has potential applications in the medical field.
Another potential use of this AI imaging technology is the creation of communication devices and the study of dreams, which remain mysteries that are not fully understood scientifically. The human mind is complex and complex, and there is much we still have to learn. It will be interesting to see how this technology can contribute to the cognitive and psychological research fields.
The effectiveness of AI brain decoding technology is also very interesting. Because the framework the team created showed that images seen and imagined were much more accurate compared to previous methods and chance accuracy. The study revealed that the new framework was able to identify seen images with 90.7% accuracy, compared to 64.3% accuracy for the previous method and 50% accuracy by chance. As this AI continues to train, this percentage is likely to continue to rise further in the future.
AI is definitely a controversial subject in creative fields, and rightly so, but certainly less so in the fields of medicine and scientific research. By training AI on medical and scientific data, researchers are creating frameworks and technologies like this brain-deciphering AI to improve their fields and solve the scientific mysteries of our world. We can reveal more. AI is gradually proving its effectiveness in the medical field as well, and it will be interesting to see how this technology continues to grow in this field.
sauce: science direct