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This paper presents TARGet, a topology-aware fusion-based method using graph neural networks for radio frequency circuit functional modeling, demonstrating improved prediction accuracy and data efficiency over state-of-the-art approaches.
This article provides a solution to Jane Street's ASIC reverse engineering puzzle, detailing the process of analyzing GDS files and inferring the circuit using the SkyWater 130 nm standard-cell library documentation.
A user shares that they are assembling a kit designed by Cherry Takuan-san for a DIY CPU, with original designs licensed under CC BY 4.0. The CPU is similar in complexity to early-1980s 16-bit home computers.
A game that lets players build a computer from scratch using logic gates, design circuits, construct a CPU, and run programs.
MorphoHDL is a minimalistic domain-specific language for designing and growing circuits, offering a simple syntax for hardware description.
An educational blog post explaining the capacitance multiplier circuit using op-amps, part of a series on 'cursed circuits'.
This paper presents SINA, an open-source AI pipeline that automatically converts circuit schematic images into netlists with 96.67% accuracy, significantly improving over prior methods by integrating deep learning, OCR, and vision-language models.
Huawei discusses LogicFolding, a technique that compresses propagation time between adjacent flip-flops in circuit design, tightening critical paths and enabling faster chips. The company expects its high-end chips to achieve transistor density equivalent to 14 Å (1.4 nm) processes by 2031.
Researchers from the University of Innsbruck and NVIDIA developed an AI method using multimodal diffusion models to automatically generate efficient quantum circuits, significantly reducing circuit length and rediscovering textbook circuits like the Quantum Fourier Transform.