Agriculture is the main industry in Yunlin County. Nearly 1/3 of the population are workers in the primary industry. In addition, more than 60% of the population in the related industry chain is engaged in agriculture-related businesses. However, due to the outflow of young people from rural areas, an aging society, and global climate anomalies have made it difficult for agriculture to maintain stable yield and quality, and the international community has responded to the issue of carbon reduction. How to balance food security and environmental sustainability has become a major issue in the current agricultural transformation. Therefore, the Yunlin County Government promotes the agricultural creation service guidance team, discovers local DNA, combines traditional agriculture to carry out digital transformation of farms, effectively improves agricultural productivity, bridges the gap between labor shortage and unstable production, assists the agricultural industry in line with international carbon reduction trends and create low-carbon sustainable urban and rural happiness.The project won the 2023 Smart City Innovation Application Awards.

Qualcomm Terrestrial Positioning Service (TPS) provides high-accuracy geolocation and wayfinding capabilities for mobile and industrial devices by leveraging nearby Wi-Fi, cellular base stations, and terrestrial signals such as Bluetooth® Low Energy (BLE), enabling precise positioning virtually anywhere. It offers flexible integration options through software packages and APIs that can be easily incorporated across diverse hardware and platforms. Designed with battery efficiency in mind, intelligent algorithms support always-on or periodic cloud-based location updates, optimizing power consumption for different usage scenarios. TPS also supports offline positioning through token and caching technologies, allowing devices to determine location even without network connectivity. * Qualcomm branded products are products of Qualcomm Technologies, Inc. and/or its subsidiaries. Qualcomm is a trademark or registered trademark of Qualcomm Incorporated.

Over the past decade since its launch, the JW Eco-Technology brand system has executed over 1,000 projects worldwide, earning unanimous global acclaim. It delivers tailored solutions for unique environmental challenges, including pollution, urban ailments, flooding, water scarcity, water contamination, air pollution, urban heat islands, and sustainability issues—all core domains of JW Eco-Technology. From 2015 to 2025 (COP21-COP30), it was invited annually to UN Climate Conferences for 10 consecutive years, recognized as "key technology for improving global warming." Notably, in 2022, the UNFCCC Global Stocktake uniquely announced on its website: "JW Eco-Technology as a holistic solution for climate adaptation and mitigation." In 2023, it clinched the UN LivCom Awards for SDGs—the first and sole global winner. Proven by over 1,000 global cases, interdisciplinary research, and awards in hydrology, civil engineering, green energy, climate, environment, atmosphere, biology, microbiology, physics, chemistry, etc., JW Eco-Technology's "JW Eco-Smart Sponge City" stands as humanity's optimal solution to climate change.

Taiwan AI Cloud provides industry-specific AI application integration services, including custom LLM model fine-tuning, AI deployment planning, and AI training and inference platform development. Built on the Formosa Foundation Model (FFM) — an enterprise-grade large language model optimized for local languages and industries — or other high-performance open-source models, our solutions enable organizations to systematically integrate AI into real-world operations. Through expert consulting and tailored implementation, we help enterprises enhance operational efficiency, optimize customer experience, innovate business models, and build sustainable AI capabilities that drive long-term digital growth.

The “MiAIOT x 5G Railway Safety Management System was developed based on MiTAC’s in house AIoT platform-“MiAIoT”, and will assist the digital transformation of Taiwan's rail industry in the future, including cloud-based train operating data exchange, real-time train warning system, AI equipment abnormality prediction, and feeding all these crucial information to a situation “war room”.

Hybrid work and temporary employment often lead to chaotic and decentralized attendance management. AIRA's Facial Recognition Solution simplifies personnel management. Without external hosting equipment, the airaTablet Plus integrates access control, attendance reports, and video streaming into a single device. It features the facial recognition system, airaFace, ensuring precise identification of faces within 1 second. Users can customize clock-in periods and export automatic attendance reports. The built-in multi-mode dashboard caters to various scenarios, such as attendance, occupancy and welcom dashboard. Moreover, the system seamlessly integrates with the central management system, airaManager, which can cnetralize attendance data from each office. The encrypted transmission enhances security, ensuring a comprehensive and secure solution for pesonnel management

The technical solution of Foxtron Electric Bus combines domestic and international resources, each contributing its strengths： 1. It adopts Foxtron's self-developed VCU software, integrates and develops the EEA architecture for electric buses, and utilizes motors, batteries, and chassis suspension systems from international major manufacturers. In collaboration with domestic manufacturers, Foxtron designs and develops dedicated low-floor bus frames for chassis cooperation. 2. In the product design of electric buses, Foxtron identifies pain points in traditional buses and improves upon them. For example, traditional buses often have issues with rollover protection and numerous blind spots, as well as differential wheel rotation caused by wheelbase, leading to frequent traffic accidents due to visibility problems. To address these issues, Foxtron employs Computer-Aided Engineering (CAE) and NVH (Noise, Vibration, and Harshness) analysis to verify the design of various systems and components. This ensures the overall strength of the vehicle body and chassis, enhances passenger safety, and incorporates features such as panoramic image display and an electronic wide-angle rearview mirror with a blind spot detection system to solve driver blind spot issues. Additionally, to alert pedestrians and other road users to the risk of differential wheel rotation, Model T projects prominent light beams onto the ground during turns, marking the danger zone.

In the era of automation and digital transformation, the challenge for managers is no longer just hardware installation, but how to integrate fragmented subsystems into a connected network with a “brain.” The SOYAL WEB PLC (AR-401-PLC-1616R) was created precisely for this purpose as a cross-domain integration core. It breaks through the limitations of traditional PLCs, with a built-in web management interface and powerful dual communication channels (CH1 / CH2), enabling simultaneous coverage of both “identity recognition” and “physical facility monitoring.” With full support for the Modbus TCP protocol, on-site data can seamlessly connect to cloud platforms or SCADA central monitoring systems, making remote control and data analysis easily accessible.

AI Biodiversity Platform using CHTCityOS as essential architecture enables rapid implementation, scalable performance, and seamless cloud integration.By consolidating technologies and services into a single solution, Chunghwa Telecom helps customers simplify management, improve efficiency, and accelerate digital and sustainable initiatives. Chunghwa Telecom as a leading ICT solution provider, offers a fully integrated, one-stop service covering system design, platform deployment, and ongoing operations.

Integrating RPA, Generative AI, Machine Learning, and Process Management technologies, we provide manufacturing solutions to address supply chain communication, timely business delivery responses, on-site scheduling optimization, order insertion issues, new employee training, and corporate administrative problem-solving.

Powered by AI, this platform provides businesses with compliance management, risk intelligence analysis, and data-driven sustainable supply chain resilience, enabling them to effectively manage their supply chains.

Prof. Ming-Yen Lin’s Team – A Prediction Model for Type 2 Diabetes Complications Our research group develops a decision-support prediction model for type 2 diabetes complications using data from over 163,000 Taiwanese patients. Integrating age, HbA1c, and other dynamic factors, the model estimates long-term risks of major complications and mortality, visualizes future trends, and supports personalized care planning to improve disease management and outcomes.