Generative AI (GenAI) is swiftly revolutionizing corporate operations, product development, business models, and the overall ecosystem. According to a survey report published by Taiwan's Market Intelligence & Consulting Institute (MIC), in 2024, 19% of Taiwan's five major industries utilized GenAI or engaged in related activities, with the finance and insurance sector representing 25% and the manufacturing sector following at 22%. Amid the proliferation of Generative AI for developing AI assistants, some firms have found that their substantial investments in these assistants did not yield the expected results, leading them to terminate their AI projects and thus diminishing their overall competitiveness.Alpha Three wins with a smarter AI assistant—boosting accuracy through improved data chunking for enterprise knowledge Q&A. Credit: CompanyThe primary cause of the poor performance of AI assistants, according to "Alpha Three," the winning team in the "2025 AI Wave: Taiwan Generative AI Applications Hackathon" from Walsin Lihwa's "Smart Manufacturing" group, is the excessively small data chunking during pre-processing. This can easily disrupt the original document paragraph context, resulting in the AI model's misunderstanding deviations and a response content that is not sufficiently accurate.The team recommended that the "amount of text in a single PDF page" be used as the unit of chunk in order to preserve the natural paragraph structure and comprehensive context, as well as to prevent semantic discontinuity. The review committee unanimously recognized this method for successfully achieving three substantial advantages: "optimizing user query experience," "reducing the risk of hallucinations," and "enhancing semantic coherence and search and answer accuracy."Pre-competition training proves valuable; effectively utilizing AI tools to realize creativity"Alpha Three" utilized a steel standard inquiry as a test case and posed the question, "Does ASTM A276 steel grade 316Ti comply with the EN 10088-3 standard?" The AI system retrieved comprehensive information covering the chemical composition and standard specifications of steel grades. The content of the response is highly focused and accurately reflects the primary data. The AI system demonstrated extraordinary reliability in the application of enterprise knowledge by achieving a perfect score (1.0 out of 1.0) across the three metrics of "search relevance," "answer solidity," and "answer relevance."To achieve these results, the team utilized Amazon Web Services (AWS) to develop a comprehensive enterprise knowledge question-answering framework.PDF, PNG, JPG, and other file formats are uploaded to Amazon S3, the cloud object storage service, during the initial phase. The second phase is providing quick query services with a comprehensive language model and the Flask API. In the third phase, the team leverages Amazon Bedrock, a fully managed service that makes high-performing foundation models, to connect extensive language models, thereby improving scalability and reaction speed. Amazon Elastic Compute Cloud (Amazon EC2) is employed in the fourth phase to expedite API processing, thereby guaranteeing system stability and efficiency.The extensive system design includes data uploading, management, retrieval, and response, allowing users to easily submit inquiries and obtain prompt professional responses, which became a crucial factor in their victory.The "Alpha Three" team, comprised of recent information engineering graduates from National Taiwan University in 2024, observed that, despite their degrees in information-related fields, they were completely unfamiliar with contemporary mainstream AI tools in the face of the rapid advancement of Generative AI technology. The project was successfully completed within 30 hours, and the award was secured, thanks to the professional training provided by the organizer, which included a series of enterprise data workshops and AWS Generative AI workshops, as well as Walsin Lihwa's explanation of the steel standards.

IntroductionWith the increasing use of mobile devices, malware targeting smartphones and tablets has become more prevalent. Banking Trojans, in particular, are designed to steal banking credentials and financial information from mobile users.The modern trend in the Integrated Circuits industry is System on a Chip (SoC) and Microcontrollers (MCU), which integrate different discrete solutions, including security functions in a single IC. In particular, the Secure Element / Hardware Security Module (HSM)/UICC can be integrated into the SoC. The main motivations for this integration are reduced system cost, enhanced performance, and added-value functionality.The integrated security function in the SoC needs to meet the same security level as the discreet part. To address the security of integrated solutions and provide the industry with a unified set of security requirements to be fulfilled and clear to evaluate and asses, PP-0117, Secure Sub-System in System-on-Chip (3S in SoC) Protection Profile was developed.BackgroundCybersecurity statistics indicate that there are 2,200 cyber-attacks per day, with a cyber-attack happening every 39 seconds on average. In the US, a data breach costs an average of $9.44M, and cybercrime is predicted to cost $8 trillion by 2023.ENISA[1], in its "ENISA Threats Landscape 2022 Report", presented in several aspects that the segments which were affected the most were the Public Administration and the Finance sectors:Figure 1 ENISA: Reputational impact by sector[1] ENISA - European Union Agency for Cybersecurity, https://www.enisa.europa.eu/This figure points to the potential for negative publicity or an adverse public perception of the affected sector.In the following diagram, it can clearly be seen that the Public Administration and the Finance sectors suffered more seriously from damaged or unavailable systems, corrupted data files, or exfiltration of data compared to the other sectors:Figure 2 ENISA: Digital Impact by SectorSecure Element is a technical solution for digital payments via credit cards and mobile devices, as well as for identification and biometric purposes, such as passports and personal IDs.Since this device secures critical data, governmental bodies and private entities, such as credit card organizations, EMVCo[2], mandate that it be certified to Common Criteria EAL 5+ when using PP0084 – Security IC Platform Protection Profile with Augmentation Packages (Eurosmart, 2014)[3]. Till today more than 250 product certifications were done claiming for this PP.With the integration of the Secure Element in SoC, new challenges/threats were raised on top of the existing challenges/threats of the secure device with high resistance to physical and logical attacks:• Preventing the insecure state of the product by disturbing the boot process and enabling manipulation of the product by hostile software or malicious code.• Preventing content abuse of the data and code stored at the external non-volatile\volatile memory which is part of the SoC architecture by the attacker which accesses the external memory for disclosing or modifying the content of the external memory used by the secure component and by compromising confidentiality and/or integrity of secure content to be protected by the secure component.• Preventing Cloning of the content stored in the external memory or physical replacement of the external memory of the data and code stored at the external non-volatile\volatile memory.[2] EMVCo - https://www.emvco.com/about-us/overview-of-emvco/[3] Security IC Platform Protection Profile with Augmentation Packages : https://www.commoncriteriaportal.org/files/ppfiles/pp0084b_pdf.pdf• Preventing the ability of replay commands, the write, erase or responses to the read commands between the security component and the external memory, to affect the freshness of the content read from or written to the external memory. Preventing Unauthorized rollback of content.• Preventing the attempt to read the content of the external memory, record it, and later write it back to the external memory after the original content was updated by the Security component.• For SoC architecture that uses Secure Memory, the interface between the secure memory and the secure component should be protected from being blocked or intercepted by an attacker eavesdropping on the interconnection bus (e.g., by a man-in-the-middle attack), to disclose the user data and/or code data being written to or read from the secure external memory before security services are executed or finalized by the secure external memory.SoCs with integrated security functions appeared in the market and the security evaluation was done in a way of a mixture of PP0084 or part of it with extended requirements which might reflect the newly innovated device. No unified requirement. The challenge was to define all aspects of using and protecting the security functions when it is being integrated into the SoCThe methodEurosmart took the challenge and established a technical working group under its domain, ITSC. The subgroup includes Eurosmart members from the industry: semiconductor companies, software companies, ITSEF involved in evaluating security devices, Certification bodies, and consultants in this field.The national certification bodies were invited to the working group even though they are not Eurosmart members.On top of it, a liaisons\sharing was established with stakeholders who are referring \ interested \using this Protection Profile:A. Peers working groups: JHAS and ISCI-WG1.B. Organizations that reference the PP: FIDO, GlobalPlatform, GSMA.C. ENISA – for the alignment with CSA-EUCC which will be the scheme for this PP once the act will be implemented.The resultPP0117, Secure Sub-System in System-on-Chip (3S in SoC) Protection Profile includes the following:The TOE (Target of Evaluation) is "a Secure Sub-System (3S) implemented as a functional block of a System on Chip (SoC). The TOE implements a processing unit, security components, I/O ports and memories to provide a range of security functionalities covering a defined set of security objectives. The TOE provides its security features and security services isolated from the remaining SoC components, based on physical and/or logical isolation mechanisms. The TOE may rely on external memories to store content (data, code or both)."Figure 3: The Target of Evaluation (TOE)The TOE can be delivered as hard macro and/or programable macro, PL macro, as was defined in the team objectives.On top of it, the usage of external memory in different stages of the life cycle should be considered as well.The team strives to develop as generic as possible life cycle and highlight the new aspects of this architecture. It was clear that the new life cycle requires elaboration. With the cooperation with ISCI-WG1 a supplement guidance document, "Life-Cycle Model (LCM) Related Evaluation Aspects" was developed with more explanations related to the aspects that need to be fulfilled and assessed in the different phases of the life cycle.Figure 4: TOE Life CycleThe Protection Profile was structured with a base package of minimum requirements for any Secure Sub-System in a SoC, plus optional packages to address additional industry-specific needs arising from the architecture:• External Memory packages (Passive and Secure, volatile and non-volatile memory) – The restrictions related to the security of the data and code that are stored in the external memory.• Loader Package – The restrictions in loading functionality of the TOE Software or Composite Software from external memory.• Crypto Package - Framework for the integration of various cryptographic algorithms supported by the TOE. For addressing the need to be a generalized PP, this package, contrary to PP0084, doesn't define specific algorithms to implement but general instructions regarding the usage of recognized cryptographic algorithms.• Composite Software Isolation Package - The isolation features enable the separation between different software packages which may be delivered by different developers.Figure 5 PP Packages structureThe Security Problem Definition (SPD) which includes the assets to be protected, the threats, policies, and assumptions was developed in light of the collaboration with the JHAS group.In the Security Objectives section, dedicated objectives were defined related to the new approach of the TOE form (hardmacro\ PL macro).The base package of the Security Functional Requirements (SFRs) includes the PP0084 SFRs but for fulfilling the TOE need to be a Root of Trust, additional requirements for unique identification were included.The integration of the security sub-system in a non-secure SoC leads to the need to define the TOE as a way it provides its services isolated from the other SoC components based on physical and/or logical isolation mechanisms.The challenge in enabling integration of certified sub-systems in a non-secure system required new practices to be done by the developer and to be assessed by the ITSEF – the developer should instruct in which conditions the integration should be done and the ITSEF should verify that the integration was followed and no compromising of security was inspected during this process.Dedicated refinements related to the integration were added to the Security Assurance Requirements (SARs) for the ITSEF to verify the process was defined and done with no compromises.The evaluation was done by SGS with the supervision of BSI.SummaryPP0117 represents a significant advancement in cybersecurity certification for integrated systems. By providing a unified, flexible framework, it bridges the gap between traditional discrete certifications and modern integrated solutions, ensuring robust protection for sensitive data in an increasingly interconnected world.Winbond supports PP0117 by offering the W75F Secure Memory, which fulfilled the Secure External memory package. With Winbond EAL 5+ certified secure Flash, PP0117 can be claim in a composition with Winbond device and offer trusted external memory solution within SoC architectures. For more information, please visit Winbond website or download the latest Hardware Security White Paper.

As criminal organizations expand their use of information technology, the frequency of global financial fraud rises to historic levels each year, posing significant challenges for governments and the financial system. According to a Nasdaq Verafin research report, global financial and bank crime generated US$485.6 billion in losses in 2023, with total unlawful money transfers totaling US$3.1 trillion.The "Otter Coding" team discovered during the "2025 AI Wave: Taiwan Generative AI Applications Hackathon" that conventional financial institutions frequently employ manual review and outmoded model screening to prevent such incidents from occurring. This method is both time-consuming and difficult to address in a timely manner. The team proposed a financial fraud detection system that enhances financial institutions' anti-fraud response capabilities by integrating AI and other advanced technologies.The "Otter Coding" team ultimately triumphed in the highly competitive "Financial Innovation" group of Taishin Financial Holding.Otter Coding claims victory in the Financial Innovation category with an AI-driven fraud detection system built to outsmart global financial crime. Credit: CompanyAI-powered anti-fraud detection targets suspicious accountsThe "Otter Coding" team initiated a two-pronged approach to address the challenges associated with conventional financial fraud prevention. The first step is to employ the bank transaction records and fundamental account information supplied by Taishin Financial Holding to implement AI models for the identification of potential warning accounts. These accounts should be swiftly designated as warning accounts to enhance anti-fraud awareness and alleviate the staffing strain. The secondary purpose is to perform a comprehensive reverse analysis of the existing detection system utilizing large-scale language models to pinpoint possible areas for model enhancement. This will facilitate the ongoing development and enhancement of the anti-fraud system's accuracy.Following the completion of the Generative AI Workshop offered by Amazon Web Services (AWS) and the analysis of the data content provided by Taishin Financial Holding, the "Otter Coding" team members utilized their after-work hours a week prior to the official competition to convene and contemplate the direction of AI model design. They proposed the concepts of data-driven, model optimization, and automation, and ultimately resolved to design and construct the model from five major stages.During the model training phase, the team employed Amazon SageMaker Data Wrangler to integrate transaction records, essential account information, and alert data, perform feature engineering, and train and optimize the XGBoost classification model to achieve high precision and recall. Secondly, in the fraud prediction phase, transaction data is converted into feature vectors and input into the model for risk assessment, enabling the swift identification of high-risk accounts.During the third phase of result evaluation, the "Otter Coding" team computed Precision, Recall, and F1-score by juxtaposing the predictions with the actual list of fraudulent accounts and performed a comprehensive study of the error types.In the fourth round of AI analysis, the team utilized Anthropic Claude 3.5 Sonnet v2 model on Amazon Bedrock, a fully managed service that makes high-performing foundation models, to conduct second-level risk analysis, provide model optimization recommendations, and assist financial specialists in identifying deception patterns.Ultimately, the team employed AWS Amplify, the frontend development tool, to deploy the frontend UI and stored the data in Amazon S3, resulting in an immediate and user-friendly visual analysis interface, during the cloud deployment and presentation phase."Otter Coding" commended the comprehensiveness of both AWS's Generative AI Workshop and DIGITIMES' event planning and venue preparation. Building on this success, the team aims to achieve similar outstanding results in future competitions.

Telemarketing, a conventional sales channel, faces substantial challenges, such as a persistent attrition of qualified personnel, elevated labor costs, variable sales quality, and obstacles in scaling operations, despite the widespread adoption of digital transformation in numerous industries.At the second "2025 AI Wave: Taiwan Generative AI Applications Hackathon," the "Cloud Science Network Management" team presented an innovative solution that merges AI with user-centric design to transform telemarketing. This groundbreaking approach won the Eastern Home Shopping & Leisure's "Next-Gen Retail" competition.The "Cloud Science Network Management" team comprises individuals from the departments of Electronics, Computer Science and Engineering, Information Management, and Electrical Engineering at National Yunlin University of Science and Technology in Taiwan. Break away from conventional thinking, they leverage their professional expertise to develop an intelligent sales system addressing market challenges. This system uses AI technology to resolve long-standing industry pain points, while maintaining a humanized interactive experience.The team discovered that traditional telemarketing is confronted with three significant challenges following extensive market research. Initially, corporate profits are significantly impacted by the high costs of labor and training. Secondly, the performance levels of salesmen are inconsistent, and it is exceedingly challenging to standardize sales scripts. Thirdly, personnel recruitment bottlenecks that severely limit sales expansion.Although telemarketing continues to be a significant promotional channel, market research indicates that consumers are evidently opposed to interactions that appear to be overly mechanical. Consequently, the optimal solution must strike a balance between the efficacy of AI and the humanization of interaction in order to establish a sales process that is both strategic and highly consistent, while also ensuring consumers cannot detect they are interacting with an AI system rather than a human representative.To address these challenges, the team developed the "AI Smart Salesperson," a sophisticated solution employing AI technology for telemarketing. The system transforms AI into a highly effective telephone sales representative by incorporating data-driven analysis, real-time emotional assessment, and natural voice interaction technology. The operational workflow consists of four phases: first, inputting basic customer and product information; second, developing personalized sales strategies based on customer backgrounds; third, initiating the calling process where the customer's voice is transcribed using speech-to-text (STT) technology, dynamic responses are generated through a dialogue large language model (LLM), and these responses are converted into natural speech using text-to-speech (TTS) technology; and finally, using an analytical LLM to simultaneously assess customer emotions and responses, enabling real-time adjustments to sales strategy based on immediate feedback.The "AI Smart Salesperson" substantially reduces labor and training expenses while ensuring uniformity and consistency in sales methodologies, significantly enhancing both sales success rate and customer experience. The system's technical architecture is built on Amazon Web Services (AWS) and leverages multiple innovative technologies to ensure reliability and natural interaction. The core technologies include large language models responsible for dialogue generation, strategy planning, and real-time analysis, along with bidirectional text-to-speech (TTS) and speech-to-text (STT) conversion capabilities.For the AWS implementation, the team utilized Amazon Bedrock, a fully managed service that makes high-performing foundation models, to integrate models such as Anthropic Claude for dialogue generation. They employed Amazon SageMaker for machine learning model training and inference, and Amazon Transcribe for automatic speech recognition to enable speech-to-text functionality. The solution's data storage uses MySQL databases, while Amazon CloudFront handles web request delivery. The entire infrastructure runs on Amazon Elastic Compute Cloud (Amazon EC2) instances, providing the scalability and reliability needed for production deployments.This groundbreaking approach received unanimous recognition from judges in Eastern Home Shopping & Leisure's "Next-Gen Retail" category. The system features natural voice simulation for a genuine interactive experience indistinguishable from human interaction, standardized speech, and dynamic adjustment capabilities to maintain consistent and adaptable sales quality, along with a data-driven recommendation mechanism that significantly enhances the likelihood of a successful transaction.Furthermore, customers can promptly activate the platform by importing product information and listings, without the need to construct additional complex infrastructure, as a result of the out-of-the-box design. These benefits not only resolve the telemarketing dilemma that contemporary enterprises encounter, but they also establish a new paradigm for the application of AI throughout the entire industry.

Companies have begun to incorporate generative AI models with CAD drawings, design specifications, simulation data, and other information in order to improve design efficiency and accelerate innovation in response to the increasing competition in the commercial sector and volatile consumer demand. This facilitates the rapid generation of initial design drawings or concepts, reduces the length of product development timelines, and maintains the brand's essence.At the "2025 AI Wave: Taiwan Generative AI Applications Hackathon," "Famous on the Board" (a team name referencing PC hardware culture)unveiled an AI-assisted PC case design platform that addresses user pain points to achieve three objectives: "expediting the design cycle," "maintaining brand consistency," and "enhancing innovation efficiency and diversity of inspiration." This innovative platform combines image generation technology and natural language processing to convert user-defined requirements into structured specifications. This encompasses color, style, shape, material, ventilation, lighting, features, environment, and more, and it delivers high-quality rendered images in real time.The platform reduces communication disparities within the development team, enhances interactivity through real-time previews, enables version management for process traceability and restoration, and supports multiple models to increase rendering flexibility, thereby further alleviating the workload. Furthermore, it received recognition from the jury of Cooler Master's "PC DIY Innovation" category and was granted the Excellence Award.Famous on the Board wins Excellence Award with their AI-powered PC case design platform that blends speed, creativity, and brand identity. Credit: CompanyDriving inspiration diversity and enhancing innovation efficiencyThe "Famous on the Board" solution is distinguished by its ability to automatically document each attribute modification and rendering outcome, generate a visual design process timeline, and allow users to generate a PC case design from inception through the inspiration generation module. This allows users to scrutinize and trace discrepancies among multiple versions, enabling them to immediately revert to any historical version for iteration and optimization with a single click.The design of platform functions prioritizes fundamental features such as inspiration discovery, market trend analysis, design prompt generating, version control, and project collaboration management. A machine learning-generated database includes six key attribute databases essential for PC case design: design style, case material, color style, distinctive design, presentation form, and background atmosphere, helping designers rapidly produce design drafts that align with brand positioning.The AI-assisted PC case design platform employs Amazon Nova Pro, Anthropic Claude 3.7 Sonnet, Amazon Nova Canvas, and Stability AI's Stable Image Core on Amazon Bedrock, a fully managed service that makes high-performing foundation models from Amazon Web Services (AWS). It simultaneously supports natural language processing and creative image generation capabilities, thereby augmenting the intelligence and automation of the design process. React and TypeScript are employed in front-end development, complemented by Tailwind CSS to build a responsive user interface that supports internationalization (i18n). The backend architecture utilizes FastAPI and PostgreSQL 17.4 to guarantee data processing efficiency and reliability, while accommodating extensive asynchronous workloads."Famous on the Board" concluded that the essence of its success is rooted in the team's diverse composition. The team comprises development engineers with technical expertise and individuals from various sectors, particularly the gaming industry, each providing distinct perspectives on the application and conceptualization of AI. The challenging work was completed in under 30 hours through collaborative brainstorming and idea exchange, garnering unanimous recognition from the jury for the team's technical expertise, creativity, and degree of completion.

Smart manufacturing has become a global consensus in the manufacturing industry due to the rapid changes in consumer market demand. The implementation scenarios that incorporate generative AI technology are anticipated to further enhance the efficiency of production lines.At the "2025 AI Wave: Taiwan Generative AI Applications Hackathon," the victor of Chang Chun Group's "Smart Petrochemical Manufacturing" category, "Cloud Ninjas," adeptly developed an intelligent assistant system capable of promptly processing natural voice commands from on-site operators by integrating three key technologies: speech recognition, semantic comprehension, and task scheduling. This unique approach digitizes important operational experience and significantly enhances the natural fluency of human-machine communication via voice-driven operations.The "Cloud Ninjas" proposal's acknowledgment by the judges is ascribed to three primary features: "intuitive," "real-time," and "expandable." This transformation of human-computer interaction from a conventional one-way operation to a reciprocal comprehension and immediate response is facilitated by these attributes, which render the machine that "understands," "delivers," and "learns rapidly."The team meticulously defined a variety of command types, situational actions, and operational scenarios that were derived from real-world industrial contexts during the system design process. These scenarios included traversing from point A to point B, retrieving object A, activating button A, and articulating and reiterating content A. The scenario setting program simulates human operational modes through three state transitions: standby, pondering, and speaking. By employing the aforementioned rigorous designs, this AI machine assistant is capable of not only comprehending language but also autonomously executing the most appropriate action options based on the context.The "Cloud Ninjas", which was initially unfamiliar with one another, resolved to form a group to compete after attending a generative AI workshop from Amazon Web Services (AWS). They specifically targeted the manufacturing industry, which was more familiar to them. Despite the fact that all members possess a level of programming expertise, they are not acquainted with cloud tools, artificial intelligence, or other related technologies. Fortunately, they were able to demonstrate their results in the "2025 AI Wave: Taiwan Generative AI Applications Hackathon" after completing a series of pre-competition training courses from AWS and becoming more familiar with the use of a variety of tools.Throughout the development phase, "Cloud Ninjas" utilized several AWS generative AI services, including the generative AI-powered assistant, Amazon Q Developer to expedite program writing for software development, and Amazon Nova Pro, the multimodal model on Amazon Bedrock —a fully managed service that makes high-performing foundation models available—to attain precise semantic comprehension, response generation, and function calling. Simultaneously, it integrates the automatic speech recognition service, Amazon Transcribe, to convert speech to text, and the AI voice generator and text-to-speech tool, Amazon Polly, to provide natural and fluent vocal responses, thus creating an intelligent voice conversational robot."Cloud Ninjas" also integrates a real-time query response demo to autonomously search the Internet for user questions and return detailed information and related links in terms of generative AI technology. The team anticipates that these capabilities will expand to include high-value applications, such as immediate decision-making recommendations and operation manual searches.The global manufacturing industry is anticipating the attainment of more flexible operational objectives and increased efficiency through smart manufacturing as the world undergoes a tide of digital transformation. The "Cloud Ninjas" solution is a prime example of how generative AI is employed to develop AI assistants, serving as a key engine driving digital transformation in manufacturing.

In recent years, sporadic medical disagreements have arisen. Inadequate communication between the medical team and patients, together with their families, accounts for around one-third of medical mishaps, according to data from the Taiwan Patient Safety Net. Misunderstandings and distrust will ensue when a substantial information void exists between the attending physician and the anxiously expecting family members.During the second "2025 AI Wave: Taiwan Generative AI Applications Hackathon," the "Hero Song" team introduced a novel solution that integrates edge computing and AI technology, enhancing doctor-patient communication and securing victory in Advantech's "Intelligent Edge-Cloud Control" category.The members of the Hero Song team are from the Computer Science department at National Tsing Hua University in Taiwan. They discovered that the medical profession is confronted with two significant challenges following a comprehensive analysis. The initial issue is that there is a significant information divide between family members and physicians. The complete diagnosis and treatment instructions are not comprehended by family members, which leads to an increase in medical safety risks. The second reason is that family members frequently experience anxiety and the doctor-patient relationship is fraught as a result of their inability to comprehend the condition and the doctor's advice in real time. In order to resolve the aforementioned issues, the team developed "MediCAM," a cutting-edge medical communication system that integrates generative AI technology with Advantech's industrial AI camera (ICAM) and Amazon Web Services (AWS) cloud services.MediCAM comprises four principal functions: the first is "real-time image streaming," enabling family members to remotely observe patients' current conditions; the second is "automatic summary of medical advice," wherein the system records and converts doctors' instructions into comprehensible text; the third is "instant question and answer regarding patients' conditions," allowing family members to inquire about patients' statuses using natural language and receive informed responses based on actual medical data; the fourth is "AI daily patient status report," which autonomously generates a concise report on patients' conditions daily to assist family members in monitoring recovery progress. Not only can this system eradicate the information asymmetry gap, but it can also establish a foundation of mutual trust between doctors and patients, thereby significantly reducing medical risks caused by poor communication.The technical architecture of MediCAM is thoroughly designed, integrating cloud AI and edge computing.The team installed Advantech ICAM AI camera edge devices adjacent to patients' beds to collect on-site visual and auditory data. The system utilizes the Whisper model for voice-to-text and Amazon SageMaker, a machine learning service, to transcribe the doctor's instructions. Additionally, Yolo and FaceNet technologies are employed to verify the doctor's identity and perform facial recognition to ensure the legitimacy of the information source.The team employed Amazon Nova Pro on Amazon Bedrock, a fully managed service that makes high-performing foundation models, to process medical order summaries and enable intelligent question-and-answer capabilities. They used a retrieval-augmented generation (RAG) architecture to ensure the precision and dependability of the results. All data is encrypted and transmitted securely to protect patient confidentiality. AWS provides reliable support for streaming, access, and security control, enabling the consistent processing of large quantities of image, audio, and text data.MediCAM, which is both practical and inventive, was the standout technology proposition in the Advantech technology proposition category for the "Hero Song" team.The jury stated that this system possesses numerous advantages: the high level of immediacy enables family members to comprehend the patient's condition promptly; the information is transparent and objective, while the automatic transcription and summarization of medical orders prevent information omissions or misinterpretations; the intuitive interactive experience permits users to obtain answers by merely posing questions in everyday language, significantly reducing the barrier to understanding. The solution utilizes AWS cloud services and can be rapidly scaled to multiple hospital campuses. This technology not only significantly diminishes the likelihood of ineffective communication between doctors and their patients, but also facilitates the integration of AI applications into Taiwan's healthcare system.

Pegatron proudly announced the debut of its groundbreaking Augmented Reality (AR) smart glasses reference design, the Verge Smart Glasses, at COMPUTEX 2025 in Taipei. The Verge series integrated state-of-the-art technologies powered by artificial intelligence to deliver a seamless fusion of the physical and digital worlds.The Verge Series AR Smart Glasses features a monocular ultra-bright micro LED display and a high-efficiency, ultra-lightweight waveguide utilizing the advanced photonics technology from AMAT and Cellid. Powered by the Qualcomm AR1 platform, it is engineered to deliver crystal-clear visuals and seamless performance. Emphasizing all-day comfort and wearability, this "smart companion" weighs only 45 grams, making it an indispensable tool for exploring the world around you.We're proud to collaborate with Pegatron on the Verge AR Smart Glasses reference design," said Satoshi Shiraga, CEO of Cellid Inc. "Our ultra-light, fully laminated waveguide was engineered to deliver immersive visuals while enabling slim, wearable form factors that redefine what's possible in augmented reality. Verge demonstrates how advanced photonics and AI can work hand in hand to unlock a new generation of spatial experiencesVerge AR Smart Glasses reference design represents a significant step forward, harnessing the power of AI to create a truly intelligent and accessible augmented reality experience that seamlessly integrates into daily life.Key highlights of the AR smart glasses reference design include:• AI-Hardware Ready for AI Powered Intelligence: Leveraging advanced artificial intelligence to enhance user interaction and provide contextually relevant information.• Crystal-Clear Visuals: Delivering crisp and vibrant augmented reality overlays for a rich visual experience.• Exceptional Acoustic Sense: Providing clear and excellent sound, ensuring seamless communication and media consumption.• All-Day Comfort: Prioritizing ergonomic design for comfortable and extended wear.• Seamless Physical-Virtual Integration: Blurring the lines between the real and digital worlds, offering a new way to interact with information and environments.Your Intelligent Companion, everywhere: Positioned as a versatile device for navigation, communication, information access, and fantastic experiences throughout the day.About PegatronPEGATRON Corporation (hereafter referred to as "PEGATRON") was founded on January 1, 2008. With abundant product development experience and vertically integrated manufacturing, Pegatron is committed to providing clients with innovative design, systematic production and manufacturing service in order to comprehensively and efficiently satisfy all of our customers' needs.Pegatron Corporation Website: https://www.pegatroncorp.com/

Pegatron Corporation made its first-ever independent appearance at COMPUTEX 2025, held in Taipei, Taiwan. The opening ceremony was hosted by Chairman T.H. Tung and was attended by leading figures from the tech industry, including Chia Chung-Yung, General Manager of Chunghwa Telecom's Network Technology Branch; Ken Lin, Senior Vice President of AMD Taiwan; Tasha Chuang, Vice President of Intel's Sales and Marketing Group and General Manager of Intel Taiwan; and Ying Yin Shih, Global Director of Data Center Products at NVIDIA.Historically, traditional Electronic Manufacturing Service (EMS) providers have often played a behind-the-scenes role for brand clients, with their own brand value receiving less prominence. However, with the evolution of the industrial ecosystem, Pegatron deeply recognizes that its outstanding professional manufacturing and design capabilities inherently constitute significant core brand value. By exhibiting independently at COMPUTEX 2025, Pegatron aims to demonstrate its profound strength and core competitiveness in areas such as design, precision manufacturing, and smart factories to the global industry. This move also underscores Pegatron's leadership as a Design and Manufacturing Service (DMS) provider and its crucial role in the current wave of technological innovation, actively seeking to establish deeper strategic partnerships with global brand clients.This year's exhibition is themed "TECH MAKER," closely aligning with the "AI Next" era. The booth is meticulously planned around four main thematic areas: "High-Performance AI Computing," "E-Mobility & Car Computing," "Telecommunication & Network Solutions," and "Consumer, Aesthetic & Assisted Living," comprehensively presenting Pegatron's latest R&D achievements and innovative solutions in these fields. Notably, Chairman T.H. Tung announced at the opening ceremony that robotics will continue to be a key R&D focus for Pegatron, demonstrating its proactive approach in the realms of smart automation.Credit: PegatronProminent highlights showcased by Pegatron at COMPUTEX 2025 include:High-Performance AI ComputingPegatron showcased cutting-edge liquid-cooled servers developed in collaboration with NVIDIA, alongside high-density servers equipped with the latest technologies from AMD and Intel. Furthermore, Pegatron will prominently feature its independently developed AI platform (PEGAAi) and digital student platform (PEGAVERSE). Through these two platforms, Pegatron empowers enterprises to enhance their autonomous operational capabilities, thereby enabling a more agile response to the evolving industrial landscape.E-Mobility & Car ComputingPegatron is actively advancing the development of safe autonomous driving technologies, having independently designed and manufactured Taiwan's first long-range automotive high-precision LiDAR optical sensing module. Building on this solid foundation, Pegatron is charting the future blueprint for next-generation smart cockpits. By leveraging the latest-generation TEEA (presumably referring to a specific Electrical/Electronic Architecture) and integrating zonal architecture with specialized Scalable Central Compute Resource (SCCR) modules, Pegatron further enhances vehicles' real-time computing capabilities and overall system efficiency. Moreover, Pegatron has developed "Simba," a highly integrated robotic dog designed for wide-ranging applications in demanding environments, such as disaster relief and battlefield scenarios.Telecommunication & Network SolutionsPegatron continues to aggressively expand its presence in the 5G domain, deeply integrating AI technologies to deliver several key innovative networking solutions. These include a 5G enterprise private network solution enabling rapid deployment and efficient management; real-time intelligent surveillance through its Nura 4K camera and MG54AX router; and the development of high-performance indoor and outdoor small cell base stations. These base stations excel in bandwidth utilization, low power consumption, and wide temperature range operation, and can be powered by standard voltage mobile power sources, ensuring stable and efficient 5G connectivity even in demanding environments.Consumer, Aesthetic & Assisted LivingIn the "Beauty Tech & Health" sector, Pegatron is targeting the vast potential of the beauty tech industry with the launch of the "PRIIO" facial beauty device. This device allows consumers to enjoy professional-grade deep cleansing, skincare product infusion, and facial muscle toning at an affordable price. Furthermore, Pegatron has developed Taiwan's first multi-wavelength picosecond laser machine, capable of addressing deep skin issues and delivering high-density energy to the skin, thereby reducing the number of treatments and promoting rapid skin recovery. Pegatron holds multiple patents in this area, ushering in a new era for Taiwan's medical aesthetics industry.To create a better future, Pegatron demonstrates its commitment to technological innovation and social responsibility. Leveraging its own technology, the company has developed several universally designed products to benefit the public, such as the DRP retinal projection device and the Tenor 2 Bluetooth hearing aids. These aim to enable individuals with low vision and hearing impairments to enjoy life more freely, embodying the warmth and inclusivity of technology.Through its independent exhibition at COMPUTEX 2025, Pegatron successfully showcases its exceptional capabilities and innovation in key technology areas including artificial intelligence, high-performance computing, and smart manufacturing, as well as its dedication to a better future. Pegatron will continue to deepen its collaborative relationships with global technology leaders such as NVIDIA, AMD, and Intel, striving to promote the widespread application of AI technology across various industries and resolutely advancing towards a new future of digital and intelligent manufacturing. We invite you to continue following Pegatron and witness more world-changing innovations together!Pegatron Corporation Website: https://www.Pegatroncorp.com/Pegatron SVR Website: https://svr.Pegatroncorp.com/Pegatron 5G Website: https://5g.Pegatroncorp.com/Credit: Pegatron

At GTC Taipei 2025, PEGATRON, a global leader in design and manufacturing services within the ICT industry, announced its latest advancements in industrial autonomy through digital and AI transformation. Committed to enhancing operational efficiency, PEGATRON is pioneering new technologies to elevate industrial autonomy to unprecedented levels, enabling enterprises to navigate complex and evolving international trade requirements.PEGATRON's innovative approach combines hardware excellence with cutting-edge software solutions, specifically leveraging the NVIDIA Enterprise AI Factory validated design. These integrated offerings form the backbone of AI-driven transformation initiatives.PEGATRON empowers enterprises to develop, deploy, and manage agentic AI, physical AI, and HPC workloads on-premises using the NVIDIA Blackwell platform. Tailored for enterprise IT, the design recommends accelerated computing, networking, storage, and software to help organizations achieve faster time-to-value while reducing deployment risks. PEGATRON offers a complete portfolio, including NVIDIA MGX servers (AS400-2A1 & AS205-2T1) supporting 4 to 8 RTX PRO Server , NVIDIA HGX B200 8-GPU servers (AS401-2T0 & AS800-2T0), and the 32-bay E3.S NVMe all-flash server (SS201-1A1), designed for petabyte-scale data capacity, delivering the infrastructure foundation for next-generation AI factories.In addition to this hardware infrastructure, PEGATRON has employed the strategic capabilities of PEGAVERSE and PEGAAi—innovative software platforms tailored to enhance processes in digital and AI transformation. This implementation has elevated both human and machine guidance and supervision to a superior level.Built on NVIDIA Enterprise AI Factory, PEGAVERSE and PEGAAi enable PEGATRON to establish AI-based cyber-physical autonomous frameworks for workforce training and machine training, which elevate the level of operational efficiency.To architect workforce training framework, an innovative AI-powered system offering intuitive guidance and dynamic support for human workers, PEGATRON has enhanced the capability of PEGAVERSE and PEGAAi with cutting-edge technologies including NVIDIA Omniverse Spatial Streaming, NVIDIA CloudXR, and NVIDIA AI Blueprint for Video Search and Summarization. This system is driving significant advancements in skill development and productivity across cyber-physical environments, enabling PEGATRON to more effectively manage manufacturing and operations worldwide. By entrusting AI agents to supervise the manufacturing process, PEGATRON has achieved remarkable results, cutting production defects by two-thirds while reducing manpower requirements by 7%. This innovative approach underscores PEGATRON's commitment to leveraging advanced AI technologies for enhancing efficiency and quality in its production lines.As to machine training, PEGATRON has introduced an advanced framework designed to automate intelligent machine development. This system enables machines in PEGATRON to learn policies efficiently on PEGAVERSE and PEGAAi for addressing complex issues within cyber environments before transitioning to real-world applications. Built on NVIDIA technologies such NVIDIA PhysicsNeMo, NVIDIA Isaac, NVIDIA NeMo, NVIDIA NIM, and NVILA, this framework combines digital twins, reinforcement learning, and generative AI to create self-improving machines capable of solving problems autonomously at an accelerated pace. With this framework, PEGATRON also significantly reduces the lead time of development while enhancing overall machine performance.About PegatronPEGATRON Corporation (hereafter referred to as "PEGATRON") was founded on January 1, 2008. With abundant product development experience and vertically integrated manufacturing, Pegatron is committed to providing clients with innovative design, systematic production and manufacturing service in order to comprehensively and efficiently satisfy all of our customers' needs. Drawing on accumulated experience in server design and manufacturing, Pegatron now focuses on developing a variety of state-of-the-art servers that meet the requirements of present and future Cloud Service Providers' data centers, as well as enterprise-grade data centers.Pegatron Corporation Website: https://www.pegatroncorp.com/Pegatron SVR Website: https://svr.pegatroncorp.com/