BrainChip Adds Penn State to Roster of University AI Accelerators

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.