j5create, a global leader in 3C peripherals and smart workspace solutions, is showcasing a comprehensive lineup of new smart connectivity products at COMPUTEX 2026. Focusing on cross-device collaboration, wireless audio/video (AV), smart desktops, and AI-integrated applications, the exhibition demonstrates how j5create is expanding beyond traditional connectivity hardware to deliver a more intuitive, unconstrained digital experience

PEGATRON Corporation (PEGATRON) officially opened its booth at COMPUTEX 2026, presenting its AI Tech Maker strategy and its role in helping move AI from infrastructure planning to real-world deployment

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

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.

SK hynix Inc. (or "the company", www.skhynix.com) announced today that it received the Corporate Innovation Award at the '2026 IEEE1 Honors Ceremony' held in New York on the 24th (local time).IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity. Established more than a century ago, the IEEE Awards Program recognizes individuals and teams whose innovations have advanced technology and improved the human condition.The IEEE Corporation Innovation Award, part of the Recognitions category, has been presented since 1986 to companies that have significantly contributed to the advancement of industry and society through innovative technology. This marks the first time SK hynix has received this honor.SK hynix attributed the honor to its contribution to the global AI computing ecosystem by ensuring the stable mass production of all High Bandwidth Memory (HBM) generations. Looking ahead, the company aims to solidify its position as a trusted partner in the global AI market by providing memory solutions that are critical to overcoming the performance limitations of AI platforms.The recognition highlights SK hynix's achievements in driving the expansion of AI computing through HBM innovation and application. Central to this success was the company's ability to preemptively offer innovative HBM solutions and respond timely to customer demands in the global AI market.Industry observers also credit this achievement to the strategic direction of SK Group Chairman Chey Tae-won, who has long emphasized securing long-term technological competitiveness. Under his leadership, the company has consistently expanded its AI infrastructure partnerships with global Big Tech firms in the United States.Ahn Hyun, President and Chief Development Officer (CDO), attended the ceremony as the company representative to accept the award."It is an honor to receive this award on behalf of our employees, who have tirelessly challenged the limits of technology," said Ahn. "By collaborating closely with our global customers and partners, we will stay ahead in creating the value the market demands and continue to be a premier company leading AI innovation."

In Taiwan, scams have evolved from isolated tactics into cross-channel, multi-step attack schemes. Most victims are aware of fraud; rather, they are often driven to make poor decisions under conditions of high pressure, limited information, and tight time constraints. Enabling individuals to access reliable risk assessments and timely guidance before taking critical actions has therefore become an urgent priority.At the same time, rapid advances in generative AI have accelerated the proliferation of sophisticated misinformation, deepfakes, and fraud schemes, posing growing threats to social trust and public safety. Strengthening information verification and risk mitigation through AI has thus emerged as a pressing global challenge.In the "Agent for Truth: Disinformation Defense Hackathon," Team (1), formed by members from the Department of Electrical Engineering at National Taiwan University, was awarded the "Excellent Award" in the "Fraud Identification and Prevention" category, sponsored by Gogolook, for its solution "FakeOff."Fraud tactics continue to evolve rapidly, often leveraging current events to lower public vigilance. For instance, during the tax filing season, deceptive SMS messages tend to surge. Traditional anti-fraud models, which rely heavily on historical datasets, often lack the ability to proactively detect newly emerging fraud patterns.Team (1) explained that "FakeOff" addresses this limitation through a continuous learning and data alignment mechanism. By leveraging web scraping technologies to monitor major news platforms, the system captures real-time events and applies AI to identify content that could potentially be exploited by malicious actors. This approach enables model training and deployment prior to the large-scale spread of fraudulent messages, thereby strengthening early-stage fraud prevention.The competition was powered by Amazon Web Services (AWS), providing cloud infrastructure that enabled teams to build and deploy advanced AI solutions at scale. Team (1) utilized AWS infrastructure to build a comprehensive AI-driven anti-fraud system. The solution was deployed on Amazon Elastic Compute Cloud (Amazon EC2), with large-scale fraud datasets and training data stored in Amazon Simple Storage Service (Amazon S3). It also leveraged Amazon Titan Text Embeddings V2 on Amazon Bedrock for efficient text vectorization, highlighting the breadth and scalability of AWS cloud services in supporting advanced AI application development.From a technical architecture perspective, "FakeOff" integrates the visual language model Claude Sonnet 4.6 to analyze screenshots and textual content. The system adopts a multi-agent collaborative framework built on Claude Haiku 4.5, in which a Function Calling Agent dynamically invokes fraud detection tools, blacklists, and number lookup APIs based on visual cues. A Conclusion Agent then consolidates these outputs to generate interpretable assessment reports and actionable prevention recommendations.To address the core challenge of fraudulent message detection, "FakeOff" incorporates a cross-model alignment and voting mechanism. By integrating leading large language models-including GPT-4o, Claude Sonnet 4.5, Llama 3 70B, Mistral, and Qwen3-30B-the system performs cross-validation to identify models that best capture the nuances of the Chinese language. It further enhances performance by localizing and training on global datasets, effectively addressing the limited availability of fraud-related data in Taiwan.The solution also adopts a continuous learning architecture, combining Amazon Titan Text Embeddings V2 for text vectorization with a neural network classifier. This design enables ongoing model refinement through real-world data and human feedback, ensuring sustained accuracy and adaptability in an evolving fraud landscape.To counter emerging fraud tactics, "FakeOff" autonomously scans recent news across multiple platforms to extract high-risk keywords, enabling early detection of new scam patterns without requiring full model retraining. This forward-looking technical approach was a key factor in earning strong recognition from the judging panel.Team (1) noted that, with on-site support from AWS Solution Architects and mentorship from Gogolook, the competition enabled the team to expand its perspective beyond purely technical development to encompass real-world application scenarios. The team also expressed its aspiration to contribute to fraud prevention and strengthen information security.