University of Virginia Joins the BrainChip University AI Accelerator Program
01 Agosto 2023 - 3:00PM
Business Wire
BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the
world’s first commercial producer of ultra-low power, fully
digital, event-based, neuromorphic AI IP, today 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.
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 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.”
The University of Virginia joins current participants Arizona
State University, Carnegie Mellon University, Rochester Institute
of Technology, and the University of Oklahoma in the accelerator
program. Other institutions of higher education interested in how
they can become members of BrainChip’s University AI Accelerator
Program can find more details at
https://brainchip.com/brainchip-university-ai-accelerator/.
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.
Follow BrainChip on Twitter:
https://www.twitter.com/BrainChip_inc
Follow BrainChip on LinkedIn:
https://www.linkedin.com/company/7792006
About UVA Engineering
As part of the top-ranked, comprehensive University of Virginia,
UVA Engineering is one of the nation’s oldest and most respected
engineering schools. Our mission is to make the world a better
place by creating and disseminating knowledge and by preparing
future engineering leaders. Outstanding students and faculty from
around the world choose UVA Engineering because of our growing and
internationally recognized education and research programs. UVA is
among the top engineering schools in the United States for the
four-year graduation rate of undergraduate students and among the
top-growing public engineering schools in the country for the rate
of Ph.D. enrollment growth. Learn more at
https://engineering.virginia.edu/.
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version on businesswire.com: https://www.businesswire.com/news/home/20230801566449/en/
Media Contact: Mark Smith JPR Communications
818-398-1424
Investor Contact: Tony Dawe BrainChip
tdawe@brainchip.com
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