Carnegie Mellon invests M into AI to ‘reverse-engineer the brain’

Image: iStockphoto.com/cybrain The primary goal of artificial intelligence is to create machines with the ability to reason. One of the best ways to achieve this? By looking at our own real-time model: the human brain. AI has long been interested in using artificial neural networks, similar to the brain’s own biological systems, to help machines learn. Now, Carnegie Mellon’s Computer Science Department is investing $12 million into brain research, attempting to dissect the “rules” of the brain—and applying it to the technology behind AI. More about Innovation Professor Tai Sing Lee is leading the project, funded through the Machine Intelligence from Cortical Networks (MICrONS) research program—part of President Barack Obama’s BRAIN Initiative. While AI researchers have already been using neural nets, this research is an effort to update them, improving…


Link to Full Article: Carnegie Mellon invests M into AI to ‘reverse-engineer the brain’