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Fundamentals

Home for AI for Engineering 101, 102, and 103 content

// AI for Engineering 101

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AI for Engineering 101

What is the mathematics behind artificial intelligence?
AI for Engineering 101

What are the top five neural network architectures?
AI for Engineering 101

How is a transformer used in neural networks?
AI for Engineering 101

Are there any benefits from generative AI hallucinations?

// AI for Engineering 102

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// AI for Engineering 103

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AI for Engineering 103

Accelerating high-performance AI workloads with photonic chips
Design & Test

How to minimize design cycles for AI accelerators with advanced DFT and silicon bring-up
AI for Engineering 103

What are the hardware strategies for building energy-efficient AI accelerators?
AI for Engineering 103

How to approach AI hardware design to address the memory wall?

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Fundamentals

Energy, Power & Sustainability

How ML and AI work in power conversion: part 2
Energy, Power & Sustainability

How do ML and AI work in power conversion? part 1
AI Engineering Collective

How can AI enhance DVFS in processor power management?
AI for Engineering 102

The difference between physical AI and machine learning in power electronics
AI for Engineering 102

How do AI agents and model context protocol work together?
AI for Engineering 103

Accelerating high-performance AI workloads with photonic chips
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