University of Oklahoma Joins the BrainChip University AI Accelerator Program

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 University of Oklahoma (OU) has joined the University AI Accelerator Program to ensure students have the tools and resources needed to encourage development of cutting-edge technologies that will continue to usher in an era of essential AI solutions.

OU is a major public research facility and the state’s flagship university. Its mission is to provide the best possible educational experience for students through excellence in teaching, research and creative activity, and service to the state and society. Among the research being conducted as part of the School of Electrical and Computer Engineering is Weather Radar, including radar detection and signal processing, adaptive processing, phased arrays, weather detecting waveforms and filtering. The school will incorporate BrainChip’s neuromorphic capabilities into drone activity and research, as well as applying BrainChip’s Akida to weather stations.

BrainChip’s University AI Accelerator Program provides hardware, training, and guidance to students at higher education institutions with existing AI engineering programs. 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.

Each program session includes a demonstration and education of a working environment for BrainChip’s Development Platforms (including Akida PCIe Boards, Akida Shuttle PCs, and Akida Raspberry PIs), combined with lecture-based teaching methods and hands-on experiential exploration.

“Over the years, we have provided curricula that focus on strong fundamentals with opportunities for specialization in areas of emerging interest,” said Dr. Y. Mike Banad, Associate Professor in the School of Electrical and Computer Engineering at OU. “We are looking forward to enabling the next generation of computer engineers with an opportunity to learn and apply real-world applications in the world of neuromorphic computing utilizing BrainChip’s Akida technology.”

BrainChip’s neural processor Al IP is an event-based technology that is inherently lower power when compared to conventional neural network accelerators. BrainChip IP supports incremental learning and high-speed inference in a wide variety of use cases, such as convolutional neural networks with high throughput and unsurpassed performance in microwatt to milliwatt power budgets. Among the markets that BrainChip’s Essential AI technology will impact are the next generation of edge devices of today and tomorrow, and industrial IoT.

“Being able to provide University of Oklahoma students with the tools and resources needed to make an immediate impact in the industry is something that we aspire to accomplish through our AI enablement program,” said Rob Telson, BrainChip’s Vice President of Ecosystems and Partnerships. “These students will enter the job force or continue in academia with real-world neuromorphic skills to make a difference in society. With Oklahoma being the home of the National Weather Service, this skill set will be especially important in applying sustainable and efficient AI to this increasingly important sector.”

OU joins current participants Arizona State University, Carnegie Mellon University and Rochester Institute of Technology 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, Akida™, 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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