Integrate “Terrestrial - Autonomous Mobile Robot Dock Transportation”, “Maritime - IoT Oil Pollution Detection and Unmanned Surface Vehicle Sea Surface Cleaning” and “Aerial – Drones to The Rescue”, which are the services of 5G smart port application, to accelerate the development of smart port automation. On top of that, by importing VR innovative tourism application, leading visitors to experience harbor operations and the beauty of the harbor. This project is supported by “Department of Technology and Information for Transportation” of MOTC and “Taiwan International Ports Corporation”.

This project establishes a 5G private network in rural Tainan schools, introducing AR/VR gamified English teaching. Students engage in scenario-based games, simulating English conversations in virtual reality, fostering entertaining and interactive learning. The curriculum incorporates famous global landmarks and utilizes AR technology for checkpoint missions, enhancing student interest. Beyond English education, the initiative collaborates with the National Palace Museum, integrating AR/VR historical artifacts. Using 5G streaming, historical content is seamlessly integrated into campus teaching. The project not only enhances learning outcomes in rural junior high schools, reducing the urban-rural digital gap, but also has the potential for nationwide expansion. Through cross-disciplinary collaboration, it drives the development of both horizontal and vertical industry chains.

Exposure to “pesticide residues” has been linked to cancer, neurological diseases, reproductive health effects, and congenital developmental and learning disabilities; most fruits and vegetables are sprayed with pesticides, but we don’t know the extent of pesticide residues when we wash them Therefore, it is necessary to provide a device to help determine the pesticide residues in vegetables and fruits during cleaning, so that we can eat with peace of mind and eat healthily.

With our fiber sDAS, Wave-In effectively reduce mobile signal dead spots caused by insufficient base station coverage, buildings or electromagnetic signal interference. Due to the pandemic, Taiwanese Engineers weren’t able to assist with on-site installation and coverage testing, to solve this problem and improve efficiency, Wave-In utilized Mixed Reality for collaboration and remote assistance.

1.Special design of water metering structure for users of high-rise building and smart houses. 2.Multiple water meters are connected in series to share the construction cost, which is most in line with economic benefits. 3.Graphical presentation of water usage data helps users manage water consumption. 4.Combined with the alarms of abnormal conditions, if there is suspected water leakage or suspected reverse flow, the system will take the initiative to inform. 5.Assist in water and water conservation management, and help users formulate exclusive usage warning ranges.

A virtual power plant refers to the use of information and communication technology to integrate and regulate dispersed renewable energy sources, energy storage systems, power generation units, and adjustable electricity consumption. By aggregating small to medium-sized distributed resources to participate in power auxiliary service programs, it not only enhances the utilization of idle resources and generates additional revenue for operators but also contributes to the sustainable development of energy.

In view of the fact that generative AI will play a key role in the future smart medical care and bring many benefits and impacts, Huijia Health combines solutions from MediaTek and Microsoft Taiwan, to create the first dynamic health LLM "Generative AI Smart Care Assistance System". Huijia Health combines the Huijia nFOPT® 24-hour automatic room patrol system’s health databank with the "MediaTek DaVinci" generative AI service platform, and Microsoft Azure's high security, high privacy, and high compliance Cloud services, are planned to provide "Telemedicine", "Smart Consultation", "Smart Handover" and more "Generative AI Smart Care Assistance Systems" that will change the future.

The EUP Fleet Management System integrates ESG management, providing visualized reports and big data analysis to accelerate communication between the supply chain and transporters, ensuring effective ESG management and achieving carbon reduction goals. Through AI big data analysis, it automatically provides green ratings and compares carbon emissions with industry peers, enhancing market competitiveness and brand image. Additionally, cloud-based, digital, and automated management enables enterprises to easily monitor fleet emissions and develop carbon reduction strategies.

Currently, the prognosis of critically ill patients in the intensive care unit (ICU) is often assessed using the APACHE or SOFA scoring systems to predict mortality rates. However, these systems have been in use for over 20 years, and the data they are based on is outdated. Today, clinical data is more abundant and precise, and advancements in machine analysis capabilities have made traditional scoring systems insufficient for meeting the demands of accurate predictions and personalized medicine. To address this, our team has developed a survival prediction device for critically ill patients. Using an AI algorithm model, it utilizes clinical data such as physiological, laboratory, and examination results to predict the patient's survival rates for the next 30, 60, and 90 days, providing a more accurate reference for prognosis assessment and medical resource allocation.

Handling abnormal complaints requires extensive experience and expertise. However, the resignation or retirement of senior employees often leads to knowledge loss, impacting organizational efficiency and competitiveness. Through vector models, Morale AI transforms unstructured data (such as emails, PDFs, and Word documents) into structured data and integrates it into databases, enhancing data usability. Multi-modal models combine diverse data types, including text and images, to systematically record and preserve experience. By leveraging Retrieval-Augmented Generation (RAG) technology and similarity search, the model can accurately categorize issues, identify the root causes, and recommend relevant cases, significantly reducing manual processing time and error rates. This systematic approach not only enhances response efficiency and enables real-time analysis and resolution of customer issues but also reduces repetitive work for employees, improving overall productivity and customer satisfaction.

LanCore Intelligent Aquaculture Cloud System is a high-end product used in aquaculture fishery, with intelligent, high-efficiency and power-saving effects. Its main features are: (1) Integrate more advanced self-development software to achieve intelligent control, which can remotely control aerators, feeders, water pumps and other breeding equipment. (2) The intelligent scheduling control mode supports timing setting, numerical value setting, and dynamic operation adjustment. The power saving effect is quite significant, up to 60%. (3) Multi-scenario scheduling and dynamic operation adjustment, high-speed operation is used at night to increase the amount of dissolved oxygen. During the day, the aerator can be adjusted to run at low speed to activate water quality and create an excellent breeding environment. (4) The grouping control system is ideal for cross-field and large-scale fishery users. It is easy to build cloud control and realize energy saving.

To establish a civil participation mechanism to widely gather opinions from all sectors, the National Development Council has established the "Just Transition Commission." The committee follows a principle of equal representation between governmental agencies and civil society. Members serve a term of two years. The government agency representatives on the committee are deputy ministers from ministries responsible for the 12 key strategies of the 2050 net-zero transition and related issues of just transition. In addition, the members of the civil society include citizen groups focused on environmental, labor, and indigenous issues, as well as representatives from social enterprises and experts/scholars in the field of economic industries. The committee has four working groups: an academic group, a strategic review group, an issue identification group and an influence group. The public-private partnership will work together to promote a net-zero fair transition. Additionally, this year, multiple public consultation sessions are planned to gather current visions and expectations for a net-zero fair transition from all sectors, aiming to enhance public awareness of net-zero carbon emissions and fair transition.