AI in electronics: Quilter’s journey in PCB design
In this episode of Gradient Dissent, Sergiy Nesterenko, CEO of Quilter, joins host Lukas Biewald to discuss the groundbreaking use of reinforcement learning in PCB design.
🎙 *Listen on Apple Podcasts* : http://wandb.me/apple-podcasts
🎙 *Listen on Spotify* : http://wandb.me/spotify
Learn how Quilter automates the complex, manual process of creating PCBs, making it faster and more efficient. Nesterenko shares insights on the challenges and successes of integrating AI with real-world applications and discusses the future of electronic design.
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Chapters (12)
Introduction to Gradient Dissent
0:45
Meet Sergiy Nesterenko, CEO of Quilter
1:27
Understanding PCBs and Their Importance
3:06
Challenges in PCB Design
8:12
Automating PCB Layout with AI
10:28
Physics and Practical Issues in PCB Design
16:07
Real-World Applications of Quilter
24:13
Insights on Reinforcement Learning in PCB Design
28:11
Handling High-Speed PCB Designs
34:22
Balancing Research and Real-World Applications
38:39
Challenges and Surprises in Building Quilter
43:25
Future of PCB Design and AI Integration
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Intro to ML: Course Overview
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2. Multi-Layer Perceptrons
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3. Convolutional Neural Networks
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Why Experiment Tracking is Crucial to OpenAI
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7. Text Generation using LSTMs and GRUs
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8. Text Classification Using Convolutional Neural Networks
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9. Hybrid LSTMs [Long Short-Term Memory]
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Pieter Abeel on Potential Deep Learning Research Directions (2019)
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