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title: Japan Pulls Off One of the Closest Asteroid Flybys Ever
description: Researchers at Princeton have developed AI-driven methods to automate the design of radio-frequency integrated circuits (RFICs), a process traditionally...
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# Japan Pulls Off One of the Closest Asteroid Flybys Ever

**[IEEE Spectrum](https://daily.dev/sources/ieeespectrum)** · 19 min read · 0 upvotes · 0 comments

## Summary

Researchers at Princeton have developed AI-driven methods to automate the design of radio-frequency integrated circuits (RFICs), a process traditionally considered a 'dark art' requiring years of expert experience. Using reinforcement learning and inverse design with convolutional neural networks, the system can generate novel circuit architectures from scratch — without relying on human-designed templates — in a fraction of the time. A 2023 proof-of-concept 5G power amplifier achieved record performance across bandwidth, output power, and efficiency. The team also introduced diffusion models to make AI-generated designs more interpretable for debugging. Key remaining challenges include reducing AI hallucinations, improving generalizability, and building open datasets, as most simulation data is locked behind NDAs.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://spectrum.ieee.org/planetary-defense-jaxa-hyabusa2>

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---

Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#hardware](https://daily.dev/tags/hardware), [#reinforcement-learning](https://daily.dev/tags/reinforcement-learning)

[View this post on daily.dev](https://daily.dev/posts/japan-pulls-off-one-of-the-closest-asteroid-flybys-ever-3pti72oa2)

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