As the AI computing race accelerates and semiconductor manufacturing capacity is increasingly redirected toward advanced memory, the memory industry is shifting from price-driven competition to a battle over resource allocation and supply security. The rapid expansion of high-bandwidth memory (HBM) production continues to consume advanced fabrication capacity, constraining the supply of conventional memory products and creating persistent shortages across the market. This concentration of high-end production has widened the supply-demand gap, driving the average selling prices of certain premium memory products to levels eight to ten times higher than previous norms

Rugged edge computing brand – Cincoze will showcase its latest embedded computing solutions at COMPUTEX Taipei 2026, from June 2–5 (Hall 2, Booth Q0401a). Cincoze will display its full range of edge computing solutions around the theme of "Smarter, Faster, More Reliable - Powered by Edge AI" encompassing the full spectrum of edge application environments in four dedicated zones, including DIN-Rail computers, industrial panel PCs and monitors, rugged embedded computers, and GPU embedded computers

Technology news, product launches and show highlights from the event attendees available for download (PDF).

Cincoze has unveiled its all-new CV-200 Series slim-bezel industrial displays. The CV-200 Series features a minimalist profile, a narrow bezel, and industrial-grade reliability for industrial panel PCs and industrial touch monitors. Specifically engineered for modern factory HMI and process visualization, they carefully balance the durability required for harsh environments with seamless equipment integration and intuitive operation. The modular design of the CV-200 Series offers screen sizes from 10 to 21.5 inches for over 40 possible configurations. The first release is the 21.5" Full HD models with almost ten configuration options for various application needs.Ultra-Slim Bezel, High Visibility, and an Intuitive User ExperienceThe CV-200 Series offers clear visuals and smooth operation, and integrates easily into production line equipment. Its slim, die-cast aluminum alloy frame has a bezel less than 3mm wide, increasing the display area without changing existing equipment setup. The Full HD screen and 178° wide viewing angle ensure clear and crisp readability from any position. Every model features a projective capacitive (P-Cap) touchscreen with an anti-glare (AG) coating for the clearest images, even in high-brightness indoor lighting conditions. Touch response is fast and precise, making daily HMI operation smoother and more natural.Rugged and Durable for Industrial and Humid EnvironmentsThe CV-200 Series is built to handle harsh, humid industrial environments. It has an IP66-rated front panel and Wet Tracking technology, so the touchscreen works reliably even with wet fingers or splashes of water. The backlight lasts up to 50,000 hours, and a 7H hardness Glass-Glass (GG) panel adds durability. The CV-200 Series meets the IEC 61000-6-4 industrial EMC standard, ensuring stable, long-term operation and giving operators total peace of mind.Flexible Modular DesignCincoze's exclusive Convertible Display System (CDS) technology lets you pair the CV-200 Series with embedded computer modules (P2000/P1000 Series) or monitor modules (M1000 Series). Customers can configure the system as either an industrial panel PC or an industrial touch monitor, depending on display size, computing performance, and functional requirements. This plug-and-play design simplifies deployment and maintenance. If repairs are needed, only a single module needs to be replaced, cutting downtime, lowering maintenance costs, and streamlining future upgrades.

Chroma ATE Inc. successfully concluded the 3rd Chroma Paper Award on March 19, marking another milestone in the company's ongoing commitment to industry-academia collaboration. Organized in partnership with National Taiwan University of Science and Technology (Taiwan Tech), the Chroma Paper Award provides an exchange platform that accelerates the translation of research into real-world applications, fostering innovation and the cultivation of key talent.As high-performance computing (HPC) and AI applications continue to advance rapidly, demand for test and measurement technologies is rising across AI chips, HPC, and data centers. In this era of lightning-fast iteration, testing and validation have become critical enablers of system performance and reliability. With long-standing expertise in this field, Chroma has built comprehensive AI-related testing capabilities spanning the four core pillars of AI infrastructure: compute and data processing, cooling and thermal management, high-speed communications and data transmission, and power and energy management. Through its test and validation solutions, Chroma helps ensure the performance, stability, and reliability of AI systems, playing a vital enabling role across the AI value chain.Aligned with Chroma's core technology development priorities, this year's competition featured two main categories: Power Electronics-Related Technologies and Semiconductor Testing-Related Technologies. Each category included a Top Prize (NT$200,000), Excellence Prize (NT$100,000), and Merit Prize (NT$20,000), with total prize funding reaching nearly NT$1.5 million. A total of 101 papers were submitted. Following a multi-stage evaluation process comprising preliminary, secondary, and final reviews, the judging committee selected outstanding research projects distinguished by both technical innovation and strong potential for industrial application.In the Power Electronics-Related Technologies category, the Top Prize was awarded to a team from Taiwan Tech for the project "Development of a High Power Density Power Module for AI Server Applications." Supervised by Associate Professor Yu-Chen Liu and completed by student Yu-Jun Li, the project directly addresses the growing need for high-efficiency, high-power-density power systems in AI data centers.In the Semiconductor Testing-Related Technologies category, the Top Prize went to a team from National Taiwan University for the project "A Novel Full-Chip Afterpulsing Evaluation Technique for 116 x 160 Ge-on-Si SPAD Array." Supervised by Professor Chao-Hsin Wu and jointly completed by students Jia-Zhen Cai, Ren-Hong Zhang, and Qi'en Chen, the research presents innovative achievements in advanced sensing and semiconductor testing technologies.Following the award ceremony, Chroma invited finalist teams into its R&D labs and testing facilities to see firsthand how research outcomes are transformed into real systems and industrial applications. The visit further strengthened ties between academia and industry.As the AI era continues to evolve at speed, test and measurement serves not only as a gatekeeper of quality but also as a key engine of innovation. Looking ahead, Chroma will continue to deepen its engagement with the global academic community through the Chroma Paper Award and a range of industry-academia collaboration initiatives, building an open and impactful platform that advances key technologies and sustains innovation momentum across the industry.For the full list of award winners, please visit the official Chroma Paper Award website.President Jia-Yush Yen of National Taiwan University of Science and Technology delivers remarks. Credit: ChromaCredit: ChromaFinalist students pose for a group photo with Chroma Foundation Chairman Paul Ying. Credit: ChromaChroma ATE Chairman Leo Huang (left) poses with the Top Prize-winning student Yu-Jun Li. Credit: ChromaChroma ATE Chairman Leo Huang (left) poses with the Top Prize-winning student Jia-Zhen Cai. Credit: ChromaFinalist teams visit Chroma headquarters. Credit: ChromaGroup photo at the 3rd Chroma Paper Award ceremony and banquet. Credit: ChromaChroma ATE Chairman Leo Huang delivers remarks. Credit: ChromaChroma Foundation Chairman Paul Ying delivers remarks. Credit: Chroma

The rapid advancement of generative artificial intelligence (GenAI) has significantly enhanced the efficiency of content creation and dissemination. At the same time, it has accelerated the proliferation of misinformation, manipulated content, and digital fraud, posing increasing challenges to democratic governance, social stability, and the integrity of digital trust and information ecosystems. In this context, achieving a balance between technological innovation and risk governance, while strengthening a trusted information environment, has become a key priority for both government and industry in Taiwan.Concurrently, the global expansion of virtual asset investment has prompted jurisdictions worldwide to strengthen regulatory frameworks governing digital asset transactions. Despite these efforts, fraudulent activities involving virtual assets continue to evolve in both scale and complexity. Malicious actors frequently exploit nominee accounts to conduct layered money laundering schemes, resulting in delayed fraud detection and challenges in asset recovery. Conventional approaches -including static blacklists and rule-based controls-are increasingly insufficient to address these evolving threats. As a result, the development of highly interpretable, AI-enabled early warning mechanisms to support timely risk identification and mitigation has emerged as a critical focus for both policymakers and industry.Against this backdrop, Team Bibi Lab, comprising students from National Tsing Hua University (NTHU), was awarded top honors in the "Virtual Asset Transaction Security" category-sponsored by BitoPro, a cryptocurrency exchange under BitoGroup-at the "Agent for Truth: Disinformation Defense Hackathon." Their project, "AI Anti-Fraud Guardian for Virtual Currency Transactions," demonstrated a high degree of technical innovation and real-world applicability, earning strong recognition from the judging panel.Team Bibi Lab extracted 140 features across 18 categories from KYC, fiat currency, and cryptocurrency transaction data provided by BitoPro. At the core of their approach is an innovative "three-layer risk tracking mechanism," which analyzes shared wallets, shared IP addresses, and indirectly connected users to trace how risk propagates through the transaction network-forming one of the system's most critical signal sources.To ensure high interpretability and support compliance requirements, the team deliberately avoided complex ensemble models that could obscure decision logic. Instead, they adopted LightGBM combined with Focal Loss, enabling the model to focus on hard-to-detect minority cases and effectively address severe data imbalance.In addition, the team constructed a network graph of internal transfers, shared wallets, and common IP addresses using NetworkX. By applying algorithms such as PageRank and community detection, they identified critical relay nodes within fund flows, further strengthening the system's ability to uncover hidden fraud patterns.The competition was powered by Amazon Web Services (AWS), whose cloud infrastructure enabled Team Bibi Lab to build a comprehensive AI-driven anti-fraud system. Their solution features a four-layer interpretability architecture: "Continuous Risk Scoring and Tiering," which classifies users into four risk levels from low to extremely high; "Feature Deviation Analysis," which visualizes how user behavior diverges from baseline norms; "Rule-Based Interpretation," which generates automated textual explanations; and an "AI Risk Diagnosis Report," which leverages the Claude 3.5 Haiku on Amazon Bedrock to generate professional compliance analysis reports.The system is built on a robust AWS cloud stack. The solution is deployed on Amazon Elastic Compute Cloud (Amazon EC2), with raw data and feature matrices stored in Amazon Simple Storage Service (Amazon S3), and AWS Glue handling ETL and feature engineering. AWS Lambda supports batch risk scoring, while AWS Step Functions orchestrates the end-to-end workflow. For high-risk cases, Amazon Simple Notification Service (Amazon SNS) sends real-time alerts to compliance teams, and Amazon CloudWatch ensures system monitoring and alerting-demonstrating the breadth and scalability of AWS cloud services in supporting advanced AI application development.Team Bibi Lab noted that, despite their background in AI development, they had no prior experience with AWS cloud services. Prior to the competition, AWS organized a series of technical workshops-covering AI applications and enterprise data-enabling the team to quickly build proficiency with relevant tools and services.With guidance from BitoPro mentors and industry experts, the team deepened its understanding of cryptocurrency operations. They also incorporated key design principles-including "auditability for compliance personnel" and "automated risk alerting" -into their solution, ultimately delivering a practical, deployable anti-fraud system that contributes to a more resilient and trustworthy digital financial ecosystem.