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Tag: Expedera

2024 Outlook with Da Chuang of Expedera – Semiwiki

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

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AI chip startup SiMa.ai raises $13 million in funding as AI boom picks up steam

The AI boom sparked by the sudden success of OpenAI ChatGPT shows no signs of fading. Since the launch of ChatGpt in November of...

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

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...

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...

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...

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...

AI Power Consumption Exploding

Machine learning is on track to consume all the energy being supplied, a model that is costly, inefficient, and unsustainable. To a large extent, this...

Audio, Visual Advances Intensify IC Design Tradeoffs

A spike in the number of audio and visual sensors is greatly increasing design complexity in chips and systems, forcing engineers to make tradeoffs...

How To Optimize A Processor

Optimizing any system is a multi-layered problem, but when it involves a processor there are at least three levels to consider. Architects must be...

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