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AiM Future Joins the Edge AI and Vision Alliance

AiM Future Joins the Edge AI and Vision Alliance
The company will demonstrate its edge AI accelerator and software technologies at the upcoming Embedded Vision Summit

AiM Future, a leader in embedded machine learning intellectual property (IP) for edge computing devices, announced it has joined the Edge AI and Vision Alliance.

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AiM Future is accelerating the transition from centralized cloud-native AI to the distributed intelligent edge. Its market-proven NeuroMosAIc Processor (NMP) family of machine learning hardware accelerators and software, NeuroMosAIc Studio, enables the efficient execution of deep learning models common to computer vision applications. Shipping in smart home devices since 2019, the co-designed hardware and software o**** a highly flexible and scalable solution meeting end-application performance, power, and cost requirements from always-on, battery-operated cameras to high-performance edge infrastructure.

“It is our company’s pleasure to join the Edge AI and Vision Alliance,” said ChangSoo Kim, founder, and CEO of AiM Future. “As a premier organization for technology innovators revolutionizing artificial intelligence across the edge computing spectrum, the partnership is a natural fit. It is clear AiM Future’s vision of bringing the impossible to reality is shared by the Alliance and its ecosystem. The field of edge AI is rapidly advancing and partnerships are fundamental to addressing the many challenges and limitations of today’s edge devices.”

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“Today, more and more devices and systems are gaining the ability to see and understand their environments,” said Jeff Bier, founder of the Edge AI and Vision Alliance. “And thanks to visual perception, these machines are becoming more autonomous, safer, more capable and easier to use. With its processing architecture and accompanying toolset, AiM Future is implementing an intriguing approach to deep learning inference acceleration. We welcome AiM Future as one of the Edge AI and Vision Alliance’s newest members and look forward to their participation at the Embedded Vision Summit.”

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