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Displays in the Age of Artificial Intelligence 人工智能时代的展示
Information Display Pub Date : 2026-04-28 DOI: 10.1002/msid.70053
Xiaolin Yan
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引用次数: 0
Reflections from the 2026 SID-LA One-Day Symposium 2026 SID-LA一日研讨会的思考
Information Display Pub Date : 2026-04-28 DOI: 10.1002/msid.70061
Phil Warren
{"title":"Reflections from the 2026 SID-LA One-Day Symposium","authors":"Phil Warren","doi":"10.1002/msid.70061","DOIUrl":"10.1002/msid.70061","url":null,"abstract":"&lt;p&gt;&lt;b&gt;THE SOCIETY FOR INFORMATION DISPLAY (SID) LOS ANGELES (LA)&lt;/b&gt; symposium was one of those rare gatherings that reminds you just how vibrant and collaborative the display industry remains. The event brought together an impressive lineup of researchers, engineers, entrepreneurs, and industry analysts for a full day of talks covering everything from global market dynamics to the physics of emerging light emitters.&lt;/p&gt;&lt;p&gt;Dave Eccles opened the event by welcoming the audience and outlining the structure for the day: Each speaker had roughly 50 minutes to present their work and perspectives. The format made for a relaxed but substantive pace, allowing speakers enough time to dive into the details while keeping the day lively.&lt;/p&gt;&lt;p&gt;He also reminded attendees of the deep roots of the SID-LA community. SID can trace some of its origins back to the University of California, Los Angeles in 1962, where figures such as Larry Tannas played an instrumental role in building the early display engineering community in Southern California. That legacy was evident in the room—many attendees were long-time colleagues and collaborators, and the atmosphere felt as much like a reunion as a technical conference.&lt;/p&gt;&lt;p&gt;The first talk of the day was by Bob O'Brien of Counterpoint Research, who provided a sweeping overview of the global display market. O'Brien, an industry veteran with more than 40 years of experience, started his career as an electron gun designer at Philips. He set the stage at the symposium with a detailed analysis of the current state of flat panel displays.&lt;/p&gt;&lt;p&gt;Counterpoint's role in the ecosystem, he explained, is to track the entire electronics supply chain—from semiconductor foundries to finished consumer devices. This vantage point gives them a uniquely comprehensive view of how display technologies evolve and where investment is flowing.&lt;/p&gt;&lt;p&gt;One of the most striking takeaways from O'Brien's presentation was just how dominant Chinese manufacturers have become in LCD production. Companies such as BOE and China Star now represent roughly half of the world's LCD capacity, supported by massive fabrication plants and sustained government investment. HKC, another major player, is preparing for a public offering while expanding its manufacturing footprint.&lt;/p&gt;&lt;p&gt;Meanwhile, Korea has largely pivoted away from LCD toward OLED. Samsung Display maintains a commanding lead in small OLED panels—particularly those used in smartphones—while LG Display dominates large-format OLED panels for televisions.&lt;/p&gt;&lt;p&gt;Taiwanese manufacturers such as AUO and Innolux, once major players, have struggled to compete against both Chinese scale and Korean OLED specialization. Japan's role in the display industry, once seen as a global powerhouse, has largely faded from prominence. With the planned closure of Sharp's Kameyama facility, Japan's share of global display manufacturing is projected to fall below one percent.&lt;/p&gt;&lt;p&gt;Despite years of predictions that OLED would","PeriodicalId":52450,"journal":{"name":"Information Display","volume":"42 3","pages":"44-45"},"PeriodicalIF":0.0,"publicationDate":"2026-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/msid.70061","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148045471","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
ID Asks/Josh Epstein ID Asks/Josh Epstein
Information Display Pub Date : 2026-04-28 DOI: 10.1002/msid.70052
Sri Peruvemba
{"title":"ID Asks/Josh Epstein","authors":"Sri Peruvemba","doi":"10.1002/msid.70052","DOIUrl":"10.1002/msid.70052","url":null,"abstract":"<p>Deep Tech Investor and Partner to Emerging Innovators</p>","PeriodicalId":52450,"journal":{"name":"Information Display","volume":"42 3","pages":"32-36"},"PeriodicalIF":0.0,"publicationDate":"2026-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/msid.70052","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148045587","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Practical AI for Display Research and Development 用于显示研究和开发的实用人工智能
Information Display Pub Date : 2026-04-28 DOI: 10.1002/msid.70056
Kyongtae Park, Taewook Kang, Euihoon Hwang, Joo-Hyung Lee
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引用次数: 0
Corporate Members and Index to Advertisers 企业会员和广告客户索引
Information Display Pub Date : 2026-04-28 DOI: 10.1002/msid.70046
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引用次数: 0
Complete Issue 完整的问题
Information Display Pub Date : 2026-04-28 DOI: 10.1002/msid.70048
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引用次数: 0
The Intelligent Display Era Has Arrived 智能显示时代已经到来
Information Display Pub Date : 2026-04-28 DOI: 10.1002/msid.70050
Bo-Ru (Paul) Yang
{"title":"The Intelligent Display Era Has Arrived","authors":"Bo-Ru (Paul) Yang","doi":"10.1002/msid.70050","DOIUrl":"10.1002/msid.70050","url":null,"abstract":"&lt;p&gt;&lt;b&gt;ARTIFICIAL INTELLIGENCE (AI) IS NO LONGER A BUZZWORD HOVER&lt;/b&gt;ing at the periphery of the display industry. It is rapidly becoming the core engine driving the next wave of innovation, reshaping how we discover materials, manufacture panels, optimize image quality, and design interactive systems. This transformation is precisely why we founded the SID Subcommittee on Artificial Intelligence for Displays and Imaging (AIDI): to accelerate the deep integration of AI with display hardware, imaging applications, and industrial workflows across the global community. The momentum is unmistakable. AI-related submissions to Display Week have grown substantially year over year, and the breadth of the work reflects a clear industry-wide shift—from experience-driven engineering to data-driven intelligent design and manufacturing.&lt;/p&gt;&lt;p&gt;The articles in this issue, contributed by leading companies and research groups alike, collectively reveal where that shift is headed. Rather than isolated demonstrations, they trace a coherent arc across the entire display value chain.&lt;/p&gt;&lt;p&gt;At the frontend of research and development (R&amp;D), AI is compressing discovery cycles into months instead of years. End-to-end generative AI workflows accelerate OLED material screening and patent landscape analysis, while domain-adaptive frameworks fuse multivariate machine learning with physics-based simulation to serve as active research partners—tackling complex reliability trade-offs and achieving physics-constrained wrinkle modeling in flexible displays. The underlying paradigm is shifting from serial experimentation to model-proposed, simulation-validated parallel search.&lt;/p&gt;&lt;p&gt;In manufacturing, the goal has moved beyond automated inspection toward increasingly closed-loop control. Industry-specific large models now embed senior engineering knowledge as expert collaboration agents, delivering measurable gains in R&amp;D efficiency and pushing defect classification to production-relevant accuracy levels. Visual reasoning combined with large-scale vision language models enable end-to-end defect management across wafer and panel fabs, while attention-guided vision models achieve reliable detection even with limited training data. Multi-algorithm fusion systems further close the loop on yield root-cause analysis, bringing the industry closer to a detect–diagnose–repair workflow that requires progressively less human intervention.&lt;/p&gt;&lt;p&gt;On the image-quality and system-optimization front, AI is addressing challenges that conventional methods struggle to handle at scale. A physics-aware local dimming framework, for instance, models optical coupling in high-density miniLED backlights as a diffusion function and deploys a compact convolutional neural network (CNN) surrogate on edge hardware to solve constrained optimization in real time, delivering significant contrast gains at substantially lower power. Meanwhile, neural holography and AI-calibrated wave propagation models are pu","PeriodicalId":52450,"journal":{"name":"Information Display","volume":"42 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2026-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/msid.70050","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148045578","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Inkjet-Printed QD-LED Displays: Status and Prospects for Commercialization 喷墨印刷QD-LED显示屏:现状与商业化前景
Information Display Pub Date : 2026-03-18 DOI: 10.1002/msid.70035
Myoungjin Park, Yun Ku Jung, Sehun Kim, Jaekook Ha, Masanobu Tanaka, Yeogeon Yoon, Changhee Lee
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引用次数: 0
Temporal Metrology Challenges in Next-Generation Displays 下一代显示器的时间计量挑战
Information Display Pub Date : 2026-03-18 DOI: 10.1002/msid.70042
Mark Rejhon, Ian Khaw
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引用次数: 0
Information Display Pub Date : 2026-03-18
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引用次数: 0
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