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From the 1 of 13 linked papers with an AI index.

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20242026
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13 papers

physics.hist-ph2026

Can AI Follow In Einstein's Footsteps?

Michael Shalyt, Nathan Regev, Marin Soljačić +1

The paper surveys how AI has helped physics discovery, noting a shift from early equation‑finding methods to modern high‑accuracy predictors, and argues that AI still lacks the abi…

cs.CV2026

End-to-End Optimization of Incoherent Imaging for Classification Under Detector-Limited Readout

Archer Wang, Joshua Chen, Sachin Vaidya +1

End-to-end co-optimization of optical front-ends (e.g. metasurfaces) and neural network back-ends has been widely applied to imaging tasks, yet a formalism characterizing when and…

cs.CV2026

TraversalBench: Challenging Paths to Follow for Vision Language Models

Clara Petrova, Zhuo Chen, Marin Soljačić

Vision-language models (VLMs) perform strongly on multimodal benchmarks, but their ability to follow complex visual paths remains under-tested. We introduce TraversalBench, a contr…

cs.CV2026

Everything at Every Scale: Scale-Invariant Diffusion with Continuous Super-Resolution

Zixin Jessie Chen, Zhuo Chen, Archer Wang +4

Creating images from noise is image generation; reconstructing fine details from coarse inputs is super-resolution. Despite their practical differences, both can be understood as r…

physics.optics2026

Active learning for photonic crystals

Ryan Lopez, Charlotte Loh, Rumen Dangovski +1

Active learning for photonic crystals explores the integration of analytic approximate Bayesian last layer neural networks (LL-BNNs) with uncertainty-driven sample selection to acc…

cs.RO2026

A Framework for Closed-Loop Robotic Assembly, Alignment and Self-Recovery of Precision Optical Systems

Seou Choi, Sachin Vaidya, Caio Silva +4

Robotic automation has transformed scientific workflows in domains such as chemistry and materials science, yet free-space optics, which is a high precision domain, remains largely…