New Tool Explains How Ai ‘sees’ Images And Why It Might Mistake An Astronaut For A Shovel

Scientists at Brown University’s Carney Institute for Brain Science have developed a tool to help explain how artificial intelligence systems process and classify images. Deep neural networks use learning algorithms to process images, and are trained on massive sets of data. The tool developed by the researchers helps to explain computer vision in a way that is both accessible and more useful than previous models. It also highlights the similarities and differences between the human brain and AI systems.