BrainChip and CVEDIA to Advance Edge AI and Neuromorphic Computing

Neuromorphic AI IP producer, BrainChip Holdings (OTCQX: BRCHF), will partner with CVEDIA, a leading provider of AI-based video analytics solutions, to advance Edge AI and neuromorphic computing.

In combining their technologies, BrainChip and CVEDIA will create and train AI models that are optimized for event-based processing and inference at the edge without the need for cloud connectivity or high-power consumption. 


The partnership will focus on the integration of the CVEDIA-RT platform for video analytics running on BrainChip’s Akida™ neuromorphic IP.

CVEDIA’s platform enables rapid creation and development for video analytics for security and surveillance, transportation and other applications.

BrainChip stated that the partnership will enable the company to further its mission to expand the deployment of AI solutions, while addressing some of the most challenging problems in edge AI, including perception, cognition, security and privacy.

Neuromorphic computing is a method of computer engineering inspired by the structure and function of the human brain and nervous system.

About BrainChip Holdings

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, AkidaTM, 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.

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BrainChip and CVEDIA to Advance Edge AI and Neuromorphic Computing

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