BrainChip adds Rochester Institute of Technology to its university AI accelerator program

(This release corrects the release that was previously released on November 22, 2022 due to incorrectly describing the Rochester Institute of Technology (RIT))

LAGUNA HILLS, CA / ACCESSWIRE / November 22, 2022 / BrainChip Holdings Ltd (ASX:BRN)(OTCQX:BRCHF)(ADR:BCHPY), the world’s first commercial producer of ultra-low power neuromorphic AI IP, today announced that the Rochester Institute of Technology (RIT) has joined the Accelerator University AI Program to ensure students have the necessary tools and resources to foster the development of cutting-edge technologies that will continue to usher in an era of essential AI solutions.

The Rochester Institute of Technology (RIT) is a highly accredited institute of technology with AI engineering programs conducting research on fundamental and applied topics in artificial intelligence. These include algorithms, logic, planning, machine learning, and applications from areas such as computer vision, robotics, and natural language processing.

BrainChip’s University AI Accelerator Program provides hardware, training, and mentoring 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 that deliver unmatched 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 development platforms (including Akida PCIe boards, Akida Shuttle PCs, and Akida Raspberry PIs), combined with teaching methods based on in lectures and hands-on experimental exploration.

“Strong industry collaboration is a hallmark of RIT and plays a critical role in shaping our students’ college experience,” said Dr. Cory Merkel, Assistant Professor of Computer Engineering at RIT. “Working with leading technology companies like BrainChip will allow us to continue our tradition of providing students with training in cutting-edge technologies like neuromorphic hardware that will prepare them for tomorrow’s high-tech industry. We are pleased to have the opportunity to join BrainChip. University AI Accelerator Program and look forward to having access to tools and resources that will make our students successful beyond their academic careers.”

BrainChip’s Al IP neural processor is an event-based technology that is inherently lower-powered compared to conventional neural network accelerators. BrainChip IP supports incremental learning and high-speed inference in a wide variety of use cases, including high-performance convolutional neural networks with unbeatable performance on microwatt to milliwatt power budgets. Among the markets that BrainChip’s Essential AI technology will impact include the next generation of smart cars, smart homes of today and tomorrow, and industrial IoT.

“Having access to cutting-edge technology in academia is a great way for colleges to differentiate their curriculum and attract students who are looking for additional value in their education,” said Sean Hehir, CEO of BrainChip. “As AI enablement continues to proliferate as one of the top technology pathways for those seeking a career in technology, the real-world advantages students will gain from being a part of BrainChip University’s AI Accelerator Program are immeasurable. We are proud to work with RIT faculty to ensure tomorrow’s leaders have the resources they need today to succeed.”

RIT joins current participants from Arizona State University and Carnegie Mellon University in the first year of the accelerator program. Other higher education institutions interested in how they can become members of the BrainChip University AI Accelerator Program can find more details at

About BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY)
BrainChip is the world leader in edge AI on-chip learning and processing. The company’s first neuromorphic processor on the market, AkidaTM, mimics the human brain to analyze only essential sensor inputs at the point of acquisition, processing data with unprecedented efficiency, precision, and power economy. Keeping machine learning local on-chip, independent of the cloud, also dramatically reduces latency while improving data privacy and security. By enabling effective edge computing to be universally deployed in real-world applications such as connected cars, consumer electronics, and industrial IoT, BrainChip is proving that on-chip, near-sensor AI is the future for its products. customers, as well as the planet. Explore the benefits of Essential AI at

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