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Krishna Rangasayee, the CEO of SiMa.ai with over 30 years of experience in software and silicon design, discusses the game-changing innovations of Edge AI. He highlights how embedded systems are transforming industries like robotics and automotive. Krishna explains the advantages of SiMa.ai's Machine Learning System on Chip, showcasing its superior performance versus cloud solutions. They explore the future of AI hardware, the promise of neuromorphic computing, and why the edge market could eclipse the cloud in the coming years.
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Quick takeaways
- The edge market is anticipated to surpass cloud computing, driven by localized processing needs in industries like automotive and robotics.
- SiMa.ai's focus on open-source programming aims to enhance developer flexibility and encourage innovation within edge AI applications.
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The Shift to Edge Computing
The edge market is positioned as the upcoming frontier for artificial intelligence, expected to surpass the size of current cloud-based markets. With an estimated 40,000 to 50,000 global customers, this sector is characterized by its diffuse footprint, encompassing various industries such as automotive, robotics, and industrial automation. The move to edge computing is driven by several factors, including the need for localized processing capabilities that allow for immediate decision-making in applications like autonomous vehicles and robotics. Additionally, considerations around data security, privacy, and total cost of ownership encourage the adoption of edge solutions over traditional cloud computing.
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