BrainChip Adds Penn State to Roster of University AI Accelerators
Laguna Hills, Calif. – May 8, 2024 – 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 Pennsylvania State University has joined the BrainChip University AI Accelerator Program, ensuring students have the tools and resources necessary to help develop leading-edge intelligent AI solutions.
Penn State is a top-ranked research university founded with a mission of high-quality teaching, expert research, and global service. The Neuromorphic Computing Lab located in Penn State’s School of Electrical Engineering and Computer Science aims to create a new type of computer that can learn and operate with brain-scale efficiency. In joining the BrainChip University AI Accelerator Program, EECS students will now have access to cutting-edge neuromorphic technology that will directly affect their communities and solve big problems that may positively impact humanity.
BrainChip’s University AI Accelerator Program provides platforms and guidance to students at higher education institutions with AI engineering programs. Students participating in the program have access to real-world, event-based technologies offering unparalleled performance and efficiency to advance their learning through graduation and beyond.
“As part of Penn State’s Neuromorphic Computing Lab, we are dedicated to bridging the gap between nanoelectronics, neuroscience and machine learning,” said Abhronil Sengupta, EECS Assistant Professor. “By joining BrainChip’s University AI Accelerator Program, we are better positioned to provide our students with resources needed to enable further research and study into neuromorphic computing. By leveraging BrainChip’s technology with our inter-disciplinary approach to data science and AI, we ensure students are ready to develop solutions for the world’s most pressing issues.”
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.
“For universities like Penn State that pride themselves on delivering a world-class education, forming partnerships with leaders like BrainChip is an ideal way to give students access to frontier technology,” said Tony Lewis, CTO of BrainChip. “We hope by making Neuromorphic Event Based technology readily available, we can give students hands on experience with a new paradigm in computation and open fundamentally new research directions in engineering. Neuromorphic event-based computing may be a solution to the inefficiencies inherent in conventional AI computation that is of growing concern to the public. It’s important that students engage early and with the right tools. BrainChip is happy to help.”
Penn State University joins Arizona State University, Carnegie Mellon University, Rochester Institute of Technology, University of Oklahoma, University of Virginia, and University of Western Australia in the accelerator program. Those at 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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