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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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December 13, 2024
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Student spotlight: Fulbright student's research applies AI to real-world problems
Diana Velychko, a Fulbright master’s student in artificial intelligence, is paving the way for more intuitive artificial intelligence (AI) systems. Her work focuses on the intersection of human perception and AI, aiming to bridge the gap between how people see the world and how machines interpret it.
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November 8, 2024
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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
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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
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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.
