Quilter works by using physics-driven reinforcement learning to explore manufacturable board layouts. Instead of placing hundreds of components and routing thousands of traces manually, engineers ...
Abstract: In this paper, a novel approximation strategy to three-dimensional(3-D) optimization design is proposed for surface permanent-magnet machines (SPMSM) with rotor overhang and step-skewing ...
The global medical electronics industry is evolving at an unprecedented pace. From portable diagnostic tools and AI-enabled imaging equipment to smart wearable health monitors, innovation in ...
The line between what humans build and what machines can autonomously create just shifted in a dramatic way. Quilter, a physics-driven AI company focused on electronic design, has unveiled the first ...
Quilter's AI designed a working 843-component Linux computer in 38 hours—a task that typically takes engineers 11 weeks. Here ...
A year ago, I’ve design reviewed an MCU module for CAN hacking, called TinySparrow. Modules are plenty cool, and even more so when they’re intended for remaking car ECUs. For a while ...
Abstract: We present an ML-driven framework for predicting circuit performance metrics, bridging the gap between schematic and layout simulations, multi-process corner analysis, and measured silicon ...
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