The document discusses a new technology that can analyze brain activity to determine what images a person is viewing. It explains that the technology uses machine learning algorithms trained on brain scan data to recognize patterns of neural activity associated with thousands of images, allowing it to then decode the brain activity of test subjects viewing new images and match it to the most similar images from its training data. The results showed it could predict images with over 50% accuracy, demonstrating its potential for technologies that can translate brain activity into digital outputs.