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Revolutionizing memory barriers in AI and HPC, How AI can assist embedded system design, more

Embedded system design highlights, resources and insights

 

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December 20, 2023
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Revolutionizing memory barriers in AI and HPC

The insatiable demand for memory bandwidth and capacity has been dragging down the overall performance of AI and HPC applications, even with the significant advancement of computing power.

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How AI can assist embedded system design

When you look at PCB design, it’s obvious that there is a huge opportunity for AI to make the process faster, easier, and more successful than ever before.

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Educational Resources

From the AspenCore News Network

Planet Analog

Four electronics design trends prominent in 2023

Here is a sneak peek at technologies and tools aiding designers forced to embrace the new paradigm of complexity and miniaturization.

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EETimes

Is Software and Hardware Ready for TinyML Tsunami?

Recent developments may offer encouragement for engineers new to ML projects.

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EETimes

High-Performance Motor Control Chip with Multi-Core Architecture

Motor control technology is the most important factor driving the development of motor technology in recent years. However, as industrial and home appliance products continue to develop in breadth and depth, motor control chips are also facing more and more challenges.

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EDN

Application of machine learning in power management systems

Machine learning (ML) can be applied at the ‘edge’ where data processing functions are tightly targeted and power consumption must be low.

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EETimes

The Metaverse Is Complex, But It Can Improve Manufacturing

Industrial systems could be the technologies that benefit the most from the metaverse.

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EETimes Europe

Where Is Cooperative Driving Automation Going?

Cooperative driving automation provides better driving automation from coordination with other road users and infrastructure. This article summarizes the technology’s functionalities and early progress.

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