BrainChip Holdings Ltd, the world’s first commercial producer of ultra-low power, fully digital, event-based, neuromorphic AI IP, announced that the University of Virginia has joined the BrainChip University AI Accelerator Program, ensuring that UVA students have the tools and resources needed to establish the development of leading-edge technologies that will continue to usher in an era of intelligent AI solutions.
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“As technology evolves, we are constantly adding areas of research to allow our students every opportunity to experience cutting-edge technology firsthand”
UVA’s computer engineering program gives students an opportunity to collaborate with top researchers in the country and participate in new research initiatives. The program is jointly administered by the Charles L. Brown Department of Electrical and Computer Engineering and Computer Science in the School of Engineering and Applied Science. The BrainChip University AI Accelerator Program equips UVA to incorporate neuromorphic technology – simulation of the brain’s neural network – into the department’s leading-edge curriculum.
BrainChip’s University AI Accelerator Program provides platforms, and guidance to students at higher education institutions with AI engineering programs training. Students participating in the program will have access to real-world, event-based technologies offering unparalleled performance and efficiency to advance their learning through graduation and beyond.
“As technology evolves, we are constantly adding areas of research to allow our students every opportunity to experience cutting-edge technology firsthand,” said Mircea Stan, director of the Virginia Microelectronics Consortium (VMEC) and professor of computer engineering at UVA. “As one of the leading institutions at the forefront of AI, we are excited to partner with BrainChip to share their approach to neuromorphic computing with the next generation of computer scientists by providing them an opportunity to learn and apply practical applications in the world of intelligent computing.”
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BrainChip’s neural processor, Akida™ IP is an event-based technology that is inherently lower power when compared to conventional neural network accelerators. Lower power affords greater scalability and lower operational costs. BrainChip’s Akida supports incremental learning and high-speed inference in a wide variety of use cases. Among the markets that BrainChip’s Essential AI technology will impact are the next generation of smart cars, smart homes of today and tomorrow, and industrial IoT.
“The University of Virginia has developed a computer engineering program that focuses on several areas of research that give students a deep and meaningful learning experience across fields that are revolutionizing computing,” said Rob Telson, VP Ecosystems and Partnerships at BrainChip. “Our University AI Accelerator Program continues to provide top educational and research institutions with real-world opportunities to learn more about neuromorphic computing and its applications. We are pleased to work with the University of Virginia on advancing their mission to provide cutting-edge tools and resources that help them achieve their objectives.”
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