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In this article, we'll explore how three edge AI architectures; robotics, system-on-modules (SoMs), and medical devices, are driving this shift, and how MRAM and FeRAM are enabling smarter, more resilient memory at the edge.
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Jake Hertz
Electrical Engineer and Technical Writer
Jake Hertz is an Electrical Engineer, Technical Writer, and Public Relations specialist. After he re...
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Register now for our next webinar discussing the future of surge protection in connected systems.
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Traditional processors are inefficient in certain contexts, wasting energy on data movement rather than computation. As a result, the industry is shifting focus to maximizing performance per watt, highlighting the need to rethink compute architecture to meet real-world constraints.
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Vision-driven, multi-arm robotics are set to transform the factory itself into a configurable product, capable of switching from one assembly task to the next with a software update instead of a hardware rebuild. Learn more now in our latest report.
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Combining AI with edge computing will drive real-time decisions in intelligent, autonomous machines.
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Discover How to Protect High-Power USB-C Designs from ESD and Surge Damage.
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Accelerate production, reduce downtime, and gain a competitive edge by integrating on-demand digital manufacturing into your operations.
Researchers can now observe the phonon dynamics and wave propagation in self-assembly of nanomaterials with unusual properties that rarely exist in nature.
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A new machine learning model can save engineers time and computation resources by using AI to quickly and accurately predict simulation results.
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In defense, every decision counts. From logistics and supply chains to maintenance and repair operations, there's little room for error - especially when operating in remote or high-pressure environments. That's why reliability is non-negotiable.
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