LAGUNA HILLS, CA / ACCESSWIRE / November 22, 2022 / BrainChip Holdings Ltd. (ASX:BRN, OTCQX:BRCHF, ADR:BCHPY), the world’s first commercial manufacturer of ultra-low-power neuromorphic AI-IP, today announced that the Rochester Institute of Technology (RIT) has joined the University AI Accelerator Program to ensure students have the tools and resources needed to foster the development of cutting-edge technologies that will continue to usher in an era of foundational AI solutions.
The Rochester Institute of Technology (RIT) is a highly accredited technology institute with AI engineering programs that conduct research on fundamental and applied topics in artificial intelligence. This includes algorithms, logic, planning, machine learning, and applications from areas such as computer vision, robotics, and natural language processing. The Institute recently announced the formation of the Rensselaer Institute for Data, Artificial Intelligence, and Computing (DAIC) with the stated aim of becoming the country’s primary academic center to advance new computing paradigms, including those that are a mix of conventional, neuromorphic are , and quantum computing.
BrainChip’s University AI Accelerator Program provides hardware, training, and guidance to college students with existing AI engineering programs. Students enrolled in the program have access to real-world, event-based technologies that provide unprecedented performance and efficiency to advance their learning to graduation and beyond.
Each program session includes a demonstration and training 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.
“Strong collaboration with industry 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 on cutting-edge technologies such as neuromorphic hardware, preparing them for tomorrow’s high-tech industries. We are excited about the opportunity to join BrainChip’s University AI Accelerator Program and look forward to having access to the 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 inherently consumes less power compared to traditional neural network accelerators. BrainChip IP supports incremental learning and high-speed inference in a variety of use cases, such as: B. Convolutional Neural Networks with high throughput and unmatched performance in microwatt to milliwatt power budgets. Markets that will be impacted by BrainChip’s Essential AI technology include the next generation of smart cars, today’s and tomorrow’s smart homes, and Industrial IoT.
“Access to cutting-edge technology in academia is a great way for colleges to differentiate their curriculum and attract students looking to add value to their education,” said Sean Hehir, CEO of BrainChip. “As AI enablement proliferates as one of the leading technology paths for those pursuing a career in technology, the real-world benefits students derive from enrolling in BrainChip University’s AI accelerator program are immeasurable. We are proud to work with the faculty of RIT to ensure tomorrow’s leaders have the resources they need to thrive today.”
RIT joins current participants from Arizona State University and Carnegie Mellon University in the first year of the Accelerator program. Other universities interested in becoming a member of the BrainChip 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 global leader in edge AI on-chip processing and learning. Akida, the company’s first neuromorphic processor to marketTM, mimics the human brain to analyze only the essential sensor inputs at the point of acquisition and process data with unprecedented efficiency, precision and energy savings. Keeping machine learning local on chip, independent of the cloud, also dramatically reduces latency while improving privacy and data 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 AI, close to the sensor, is the future for its customers’ products and the planet . Discover the benefits of Essential AI at www.brainchip.com.
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SOURCE: BrainChip Holdings Limited