I Machine, You Human: How AI Is Helping GE Build A Powerhouse Of Knowledge
By Tomas Kellner – Every fall, GE Global Research holds a scientific gathering called the Whitney Symposium highlighting the latest scientific trends. Last year the two-day event explored industrial applications of artificial intelligence. We sat down with Mark Grabb and Achalesh Pandey, two GE scientists looking for ways to apply AI to jet engines, medical scanners and other machines.
“We are starting to see significant performance increases from the combination of deep learning and reinforcement learning, where you have a human in the loop correcting the system,” Grabb said. “Once you build a smooth user experience and get the system going, people don’t even know they are correcting the AI along the way.”
At GE, we are writing software like Predix, which is the cloud-based operating system for machines that allows us to connect them to the Industrial Internet. But we also have a tremendous number of domain experts. There’s a lot of physics and domain knowledge that’s required to build good analytics and machine learning models. We have actually built AI systems that help data scientists more quickly and more effectively capture the domain knowledge across all the people inside GE building these models. So AI comes in even in the developing of analytics. more> https://goo.gl/OMZ9TS