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Brain Lab
Our passion and mission is to advance artificial intelligence by exploring the complex interplay between neuroscience, machine learning, and emerging hardware.
The Brain Lab works on both fundamental and applied research related to the design of agile, energy-efficient, and trustworthy hardware for AI applications. Our approach is to use the latest findings in neuroscience to inform the development of new machine learning algorithms (e.g. state-of-the-art spiking neural networks) that can efficiently map to new hardware devices (e.g. memristors). We believe that this approach will enable AI to be deployed on severely energy-constrained devices (sensors, satellites, etc.) and will have significant impacts in the areas of healthcare, transportation, entertainment, and defense.
News
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November 8, 2024
![An illustration of a brain with the words Science Advances displayed over the top in white, all on a dark blue background.]()
RIT professor proposes new way to make artificial intelligence smarter and greener
The brain is a great source of inspiration for Alexander Ororbia, an assistant professor of computer science and cognitive science at RIT. By mimicking how neurons in the brain learn, Ororbia is working to make artificial intelligence more powerful and energy efficient. His research was recently published in the journal Science Advances.
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February 19, 2024
![Cory Merkel is shown sitting at a desk with a computer monitor showing a colorful image]()
Computer engineering faculty member joins national initiative on neuromorphic computing
Cory Merkel, assistant professor of computer engineering at RIT, will represent the university as one of five collegiate partners in the new Center of Neuromorphic Computing under Extreme Environments, also referred to as CONCRETE.
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December 12, 2022
![graphic that says News Brief.]()
Computer engineering becomes part of inaugural program focused on neuromorphic technologies
RIT recently became one of the inaugural academic partners in the BrainChip University AI Accelerator Program. As part of the partnership, RIT’s computer engineering program will receive hardware as well as lecture modules for classes detailing how the novel chips can be programmed and used to provide neuromorphic computing solutions to real-world problems.
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January 8, 2021
![Cory Merkel, assistant professor, Kate Gleason College of Engineering.]()
Engineering faculty member wins Air Force Research grant for work in improvements to neuromorphic computing systems
Faculty-researcher Cory Merkel recently received a grant from the Air Force Research Lab for developing more secure AI functionality including how it defends against system attacks, and, through training the system, how it could learn to anticipate triggers for possible system attacks.
