Artificial Intelligence Can Now Read Your Minds
Artificial Intelligence makes it possible for Bringing Dreams to Life the Advancements in Brain-Machine Interfaces
In this world, technology has left everyone behind and made the impossible possible. Artificial intelligence has advanced so much that we can’t even imagine, and it has become an “unthinkable” thing because it can now read your mind.
Artificial intelligence will now convert your thoughts into images, as an experiment was conducted at Osaka University in Japan, which had an accuracy of 80%.
The stable diffusion method was used to conduct this experiment, which is a popular method.
According to a recent study by researchers at Osaka University, an AI-powered algorithm was able to reconstruct about 1,000 images from brain scans, including an airplane and a teddy bear, with an accuracy rate of 80 percent. The researchers used the Stable Diffusion model, a popular method included in OpenAI’s DALL-E 2, and can generate images based on text inputs.
A group of people were kept in a lab and then they were shown some images.
Here are the images that were shown to the people
After that, fMRI technology was used that collect images of the brain and use artificial intelligence to decode the information in those images. This groundbreaking experiment could allow us to understand what someone is thinking based on pictures of their brain activity. By using machine learning algorithms to analyze the patterns of brain activity, researchers can decipher the meaning behind those patterns and translate them into meaningful information. However, it’s important to note that this technology is still in its early stages of development, and many ethical and privacy concerns need to be addressed before it can be used widely.
The scientists who showed four participants the initial images have started the experiment, and when they extracted the data from their brains, the results were shocking.
Here is the result that they obtained:
The result is 80% accurate.
In a study published in bioRxiv, the research team announced that they had developed a method to reconstruct high-resolution images with high semantic fidelity from human brain activity. Their approach is unique because it does not require training or fine-tuning complex deep-learning models.
Here is the complete video demonstration of how this experiment was held: link
