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BrainChip is the worldwide leader in edge AI on-chip processing and learning. The company’s first-to-market neuromorphic processor, AkidaTM, mimics the human brain to analyze only essential sensor inputs at the point of acquisition, processing data with unparalleled efficiency, precision, and economy of energy. Keeping machine learning local to the chip, independent of the cloud, also dramatically reduces latency while improving privacy and data security. 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. Explore the benefits of Essential AI at brainchip.com.

Solution Briefs

  • thumbnail: BrainChip’s Akida IP Solution Brief
    BrainChip’s Akida IP Solution Brief

    BrainChip’s Akida IP is fully compatible with Arm’s product families. Akida provides cost-effective, high-performance, power-efficient AI processing for edge AI devices - even those in locations where there is limited or no connectivity.

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Insights

  • Edge AI: The Cloud-Free Future is Here Whitepaper
    Edge AI: The Cloud-Free Future is Here

    In collaboration with the Global Semiconductor Alliance (GSA), we have developed a whitepaper on “Edge AI” to address the needs of latency, power, and security for AI applications at the edge.

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  • What is the Akida Event Domain Neural Processor? Case Study
    What is the Akida Event Domain Neural Processor?

    BrainChip has developed the Akida Neural Processor to solve the problems inherent in moving AI out of the data center and to the location where data is created: the edge.

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  • Akida Product Brief Brochure
    Akida Product Brief

    BrainChip’s first-to-market neuromorphic processor IP, AkidaTM, mimics the human brain to analyze only essential sensor inputs at the point of acquisition, processing data with unparalleled efficiency, precision, and economy of energy. Keeping AI/ML

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