{"title":"Artificial perception system for dynamic recognition and trajectory extraction","authors":"Pengshan Xie , Johnny C. Ho","doi":"10.1016/j.matt.2025.102060","DOIUrl":null,"url":null,"abstract":"<div><div>Multi-modal in-sensor computing offers a promising approach to enhancing data processing efficiency and achieving breakthroughs in bandwidth and energy consumption. In a recent study published in <em>Device</em>, Chang et al. introduced a porous-Si/Si artificial visual system created through electrochemical etching. The voltage regulation performance, driven by the photovoltaic effect, has the potential to inspire the development of next-generation neuromorphic devices.</div></div>","PeriodicalId":388,"journal":{"name":"Matter","volume":"8 5","pages":"Article 102060"},"PeriodicalIF":17.3000,"publicationDate":"2025-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Matter","FirstCategoryId":"88","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2590238525001031","RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATERIALS SCIENCE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
Multi-modal in-sensor computing offers a promising approach to enhancing data processing efficiency and achieving breakthroughs in bandwidth and energy consumption. In a recent study published in Device, Chang et al. introduced a porous-Si/Si artificial visual system created through electrochemical etching. The voltage regulation performance, driven by the photovoltaic effect, has the potential to inspire the development of next-generation neuromorphic devices.
期刊介绍:
Matter, a monthly journal affiliated with Cell, spans the broad field of materials science from nano to macro levels,covering fundamentals to applications. Embracing groundbreaking technologies,it includes full-length research articles,reviews, perspectives,previews, opinions, personnel stories, and general editorial content.
Matter aims to be the primary resource for researchers in academia and industry, inspiring the next generation of materials scientists.