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Gradient Dissent: Conversations on AI
AI in electronics: Quilter’s journey in PCB design
Jun 6, 2024
Sergiy Nesterenko, CEO of Quilter, discusses using reinforcement learning in PCB design, automating complex processes. They explore challenges in PCB design, integrating AI with real-world applications, and the future of electronic design. Team dynamics, research challenges, and applying AI in physics simulations are also covered.
43:50
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Quick takeaways
- Automating PCB design with reinforcement learning reduces design time significantly, addressing challenges like high speed signaling.
- Physics complexities in PCB designs, such as signal degradation and interference, require modifications for optimal performance.
Deep dives
The Importance of Automating PCB Design Using Reinforcement Learning
Automating PCB design using reinforcement learning is revolutionizing the industry, as seen with Quilter AI, a company spearheading this technology. By automating the layout process of circuit schematics, Quilter AI aims to drastically reduce design time from weeks to mere hours, addressing complex challenges like high speed signaling and power constraints.
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