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BrainChip at CES 2024
BrainChip is distinguished by its leading-edge, brain-inspired neuromorphic AI technology that enables hyper-efficient, small footprint neural net acceleration for complex problems. What sets BrainChip apart is that it provides fully-digital, portable AI IP technology, that can be integrated on-chip with close proximity to sensors, providing real-time, intelligent and secure response minimizing the need for cloud intervention.
This unique approach optimizes constrained resources like memory, maximizes performance, and minimizes power consumption, enabling radically, innovative solutions for a range of industries, from space and healthcare to automotive and security.
The differentiation versus competition is extended with it’s ability to learn on-device – which allows each BrainChip equipped device to be customized in secure manner. Additionally, with the rapid migration of Generative AI and Large Language Models (LLMs) and Multi-modal applications, BrainChip’s TENNs (Temporal Event Based Neural Nets) could deliver 1000x compression and performance gain without compromising accuracy which it forsees as a disruptive force to streamline the migration to Hybrid Edge AI computing.
The company’s emphasis on delivering AI at the edge, combined with a suite of revolutionary products like the Akida™ IP and Edge Box, showcases BrainChip‘s commitment to proliferating efficient, cost-effective AI in tangible and impactful ways.
BrainChip at CES 2024
Explore Akida™ 2nd Generation
This video introduces Temporal Event-based Neural Networks (TENNs) — lightweight, energy-efficient neural networks that excel at processing spatiotemporal data. TENNs work in tandem with our Akida platform to process multidimensional events and perform compute-heavy tasks on devices with limited memory, battery, and computational resources.
This video introduces Temporal Event-based Neural Networks (TENNs) — lightweight, energy-efficient neural networks that excel at processing spatiotemporal data. TENNs work in tandem with our Akida platform to process multidimensional events and perform compute-heavy tasks on devices with limited memory, battery, and computational resources.
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