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Learning without relearning physical symmetry: an SO(3)-equivariant convolutional network (CNN) on the sphere · Bharat Hunt

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Learning without relearning physical symmetry: an SO(3)-equivariant convolutional network (CNN) on the sphere

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Learning without relearning physical symmetry: an SO(3)-equivariant convolutional network (CNN) on the sphere

3 days agoReported by arXivBharatHunt Trend Score22

Source: arXiv

Read original article

Companies, models and people in this story

Reliance Jiocompany
Inferencetopic
Benchmarkstopic

Reported by arXiv

First seen 3 days ago

arXivLearning without relearning physical symmetry: an SO(3)-equivariant convolutional network (CNN) on the sphere3 days agoJoshua Williamson

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Summary

It centres on Reliance Jio, and also names Benchmarks and Inference. Reported by arXiv.

Key points

First reported by arXiv on 16 Oct 2026.
Reported so far by arXiv alone — worth checking the original before relying on it.
Names Reliance Jio, Inference, Benchmarks.
Filed under AI Models, as India coverage.

Summary assembled automatically by BharatHunt from the headline and the coverage listed below — not AI-generated, and not a reproduction of the article. The original reporting is the source of truth.

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