Dr. Cory Merkel is an assistant professor with the Department of Computer Engineering, Rochester Institute of Technology. He earned his BS and MS degrees in computer engineering (2011) and a Ph.D. in microsystems engineering (2015) from RIT. From 2016 to 2018, Dr. Merkel was a research electronics engineer with the Information Directorate, Air Force Research Lab. His current research focuses on mapping of AI algorithms, primarily artificial neural networks, to mixed-signal hardware, design of brain-inspired computing systems using emerging technologies, and trustworthy AI hardware. Dr. Merkel’s research has been published in a number of peer-reviewed conferences, journals, and books.
Podcasts / Webinars
Artificial intelligence (AI) has become the linchpin in a growing number of products, services, and research programs which are aimed at automating and enhancing the human decision-making process. Indeed, AI is poised to play a critical role in the future of healthcare, transportation, manufacturing, and defense, to name a few. However, there are still several application domains (satellites, wearables, wireless, etc.) that cannot afford the size, weight, and power (SWaP) overheads associated with executing state-of-the-art AI algorithms. This talk will discuss previous and ongoing research to bridge the gap and enable AI in the most SWaP-constrained environments. This research takes a holistic approach, examining the entire AI stack, from devices and circuits to algorithms and applications.