BRN 2.22% 22.0¢ brainchip holdings ltd

BrainChip and CVEDIA Team to Advance State-of-the-Art Edge AI and Neuromorphic Computing

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    BrainChip and CVEDIA Team to Advance State-of-the-Art Edge AI and Neuromorphic Computing
    PUBLISHED
    MAY 23, 2023 5:30PM EDT
    LAGUNA HILLS, Calif.--(BUSINESS WIRE)-- 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, and CVEDIA, a leading provider of AI-based video analytics solutions, have entered into a partnership to advance the state-of-the-art in Edge AI and neuromorphic computing.

    The focus of the partnership will be on the integration of the CVEDIA-RT platform for video analytics running on BrainChip’s Akida™ neuromorphic IP. The CVEDIA-RT platform enables rapid creation and development for video analytics for security and surveillance, transportation, ITS, and retail applications. By combining the two technologies, the companies can create and train AI models that are optimized for event-based processing and inference at the edge without relying on cloud connectivity or high-power consumption. This addresses some of the most challenging problems in edge AI, such as perception, cognition, security and privacy.

    “We’re excited to partner with BrainChip to bring the benefits of CVEDIA-RT’s analytics to Akida enabled Edge AI devices enabling developers to scale much faster without needing the cloud,” said Arjan Wijnveen, CEO of CVEDIA. “Analyzing and tuning the complete solution at the edge, on the target platform that optimizes the applications and accelerates time to market, propels value added devices and services in AIoT.”

    “From object detection to analytics to inference, CVEDIA-RT is a powerful application that simplifies deploying vision AI on hardware,” said Rob Telson, BrainChip Vice President of Ecosystem and Partnerships. “With CVEDIA, we progress on our mission to expand the deployment of AI solutions by enabling developers to rapidly and cost-effectively build and tune to new use cases.”
 
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