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CEO Interview: Da Chuang of Expedera

Da is co-founder and CEO of Expedera. Previously, he was cofounder and COO of Memoir Systems, an optimized memory IP startup, leading to a successful acquisition by Cisco. At Cisco, he led the...

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Ultra-efficient heterogeneous SoCs for Level 5 self-driving

The latest advanced driver-assistance systems (ADAS) like Mercedes’ Drive Pilot and Tesla’s FSD perform SAE Level 3 self-driving, with the driver ready to take back control if the vehicle calls for it....

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Area-optimized AI inference for cost-sensitive applications

Often, AI inference brings to mind more complex applications hungry for more processing power. At the other end of the spectrum, applications like home appliances and doorbell cameras can offer limited...

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Deep thinking on compute-in-memory in AI inference

Neural network models are advancing rapidly and becoming more complex. Application developers using these new models need faster AI inference but typically can’t afford more power, space, or cooling....

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WEBINAR: An Ideal Neural Processing Engine for Always-sensing Deployments

Always-sensing cameras are a relatively new method for users to interact with their smartphones, home appliances, and other consumer devices. Like always-listening audio-based Siri and Alexa,...

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Expedera Proposes Stable Diffusion as Benchmark for Edge Hardware for AI

A recent TechSpot article suggests that Apple is moving cautiously towards release of some kind of generative AI, possibly with iOS 18 and A17 Pro. This is interesting not just for Apple users like me...

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2024 Outlook with Da Chuang of Expedera

Expedera provides customizable neural engine semiconductor IP that dramatically improves performance, power, and latency while reducing cost and complexity in edge AI inference applications. Da is...

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