University of Virginia Joins the BrainChip University AI Accelerator Program
- The University of Virginia joining the BrainChip University AI Accelerator Program will provide students with access to cutting-edge neuromorphic technology and real-world applications in intelligent computing.
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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.”
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
The University of
About BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY) BrainChip is the worldwide leader in edge AI on-chip processing and learning. The company’s first-to-market, fully digital, event-based AI processor, AkidaTM, uses neuromorphic principles to mimic the human brain, analyzing only essential sensor inputs at the point of acquisition, processing data with unparalleled efficiency, precision, and economy of energy. Akida uniquely enables edge learning local to the chip, independent of the cloud, dramatically reducing latency while improving privacy and data security. Akida Neural processor IP, which can be integrated into SoCs on any process technology, has shown substantial benefits on today’s workloads and networks, and offers a platform for developers to create, tune and run their models using standard AI workflows like Tensorflow/Keras. In enabling effective edge compute to be universally deployable across real world applications such as connected cars, consumer electronics, and industrial IoT, BrainChip is proving that on-chip AI, close to the sensor, is the future, for its customers’ products, as well as the planet. Explore the benefits of Essential AI at www.brainchip.com.
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About UVA Engineering
As part of the top-ranked, comprehensive University of
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Media Contact:
Mark Smith
JPR Communications
818-398-1424
Investor Contact:
Tony Dawe
BrainChip
tdawe@brainchip.com
Source: BrainChip Holdings Ltd
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