Evidence map›Paper›PMID 42310458›Full record

ArticleNature2026

Optical metasurfaces for general vision processing on the edge.

Jiayong Peng, Mingcheng Luo, Yuxi Han, Siying Wu, Hongsheng Li, Bhavin J Shastri, Chester Shu, Qi Dou, Yang Chai, Chaoran Huang

Abstract read
PubMed Publisher
In one paragraph

Article in Nature, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Jiayong Peng *Department of Electronic Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong.
Mingcheng Luo *Department of Electronic Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong.
Yuxi HanDepartment of Electronic Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong.
Siying WuInstitute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China.
Hongsheng LiDepartment of Electronic Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong.
Bhavin J ShastriDepartment of Physics, Engineering Physics and Astronomy, Queen's University, Kingston, Ontario, Canada.ORCID http://orcid.org/0000-0001-5040-8248
Chester ShuDepartment of Electronic Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong.ORCID http://orcid.org/0000-0003-0020-6431
Qi DouDepartment of Computer Science and Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong.
Yang ChaiDepartment of Applied Physics, The Hong Kong Polytechnic University, Kowloon, Hong Kong.ORCID http://orcid.org/0000-0002-8943-0861
Chaoran HuangDepartment of Electronic Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong. crhuang@ee.cuhk.edu.hk.ORCID http://orcid.org/0000-0001-6997-758X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Large-scale artificial intelligence (AI) models achieve notable performance in computer vision but require substantial computational resources, limiting their deployment on edge devices

Indexed as

Artificial IntelligenceNeural Networks, ComputerIntelligent Systems

Identifiers

PMID42310458

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.