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State tables and entry/exit actions, Chip design assistant anyone?, Reducing industrial CO2 emissions, more

Embedded system design highlights, resources and insights

 

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November 8, 2023
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Programming embedded systems: state tables and state entry/exit actions

In this segment about state machines, you’ve seen the most straightforward nested-switch statement implementation in C, but this lesson shows another implementation. 

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Chip design assistant anyone?

Nvidia researchers evaluate their custom developed LLMs methods on three selected applications for chip design: an engineering assistant chatbot, EDA script generation, and bug summarization and analysis.

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Reducing industrial CO2 emissions

The CO2 reduction impact and business opportunity for higher efficiency motor driven systems will increase significantly on the path to net zero.

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A guide to continuous delivery in embedded development

The right blend of tools, technologies, and strategies can help developers harness the power of CD, enabling higher quality and more robust embedded systems.

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Educational Resources

From the AspenCore News Network

EETimes Europe

Semidynamics Releases RISC-V Tensor Unit for AI

Collaboration with Signature IP yields multicore environment and CHI interconnect customizable for performance and optimizable for efficiency.

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EETimes

What It Takes for AMD to Bring AI Into Space

AMD’s latest SoC meets both radiation-tolerance and space-grade qualifications.

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Electronic Products

AI improves medical imaging

The use of advanced algorithms in medical imaging will help deliver more accurate, individualized and effective diagnostic and treatment strategies.

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EDN

The first MCU with an Arm Cortex-M85 processor finally arrives

Renesas become the first MCU supplier to incorporate the highest performing Cortex-M85 processor along with Helium technology.

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EETimes

Parsing the Mindboggling Cost of Ownership of Generative AI

GPT-4 poses a challenge to the current state-of-the-art processing hardware.

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EDN

The next embedded frontier: machine learning enabled MCUs

The high-end MCUs with ML content aim to be a game changer on the hardware side for embedded and IoT designs.

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