FREE Bionics offers the world's first exoskeleton robotic rehabilitation system consists mainly of the joint activity training robot "NimBO", and the lower limb exoskeleton robot "FREE Walk". Which integrates precise data analysis to form a comprehensive and precise rehabilitation solution driven by data. NimBO is apply on measuring movement angles and muscle strength of six major joints of the patient's upper/lower limbs, analyzing the bottleneck of the patient's movement ability, and then to guide the patient to conduct correct movement training to improve joint mobility. In addition, FREE Walk provides patients with functional movement needs of the lower limbs. The power assistance and movement guidance allow patients to perform nerve reshaping of lower limb movements and core training of the trunk, which can significantly improve mobility for patients in both acute and chronic stages. This system shows significant improvement in mobility for both acute and chronic patients.

The diagnosis of ADHD is based on the core symptoms appearing in DSM-IV or V criteria. In addition to the criteria, some physicians use checklists to assist the diagnosis of ADHD. However, either symptoms or checklists are subjective, which leads to diagnostic problem. In this product, data from the gyroscope and accelerometer in a smart watch were used to analyze the movements of children with ADHD. The children with ADHD and controls wore the watches on their hands simultaneously in class and compared the data from recorders for analysis. This method can help us to establish a objective tool for diagnosis and evaluation of ADHD.

LiftMind is a non-invasive AIoT elevator add-on system that enables rapid upgrades to smart functionality without modifying existing elevator control systems. The system leverages advanced external sensors and AI technology to deliver features such as passenger flow monitoring, emergency incident alerts, user behavior analysis, elevator operation optimization, and enhanced, user-friendly riding experiences. Its open architecture seamlessly integrates with Building Management Systems (BMS) and other IoT devices, significantly improving elevator management efficiency and user satisfaction. LiftMind supports a wide range of elevator brands and models, offering flexible adaptability to various application scenarios, making it the ideal solution for smart building upgrades.

ITTS Smart Logistics Solution-AI Video Control Center, from the perspective of practitioners, uses a smart management system to help the logistics company master the three major information of people, vehicles and parcel. The main features are: APP-based mobile control, Smart phones can provide anytime & anywhere control capability  Dynamics Video + image real-time monitoring, real-time conditions of vehicles moving and stopping are clearly visible  Visualization of data reports, clear operational information such as fuel consumption rate and delivery rate at a glance  AI intelligent interpretation, real-time reminder for driving violation judgment, reduce the violation rate, and provide a safe driving environment The accumulation of AI machine learning can be extended to several aspects in the future:  For drivers-through driving behavior interpretation, the driver's condition can be found immediately to prevent dangerous driving; automatic routing suggestions to help novice drivers quickly get started and reach the level of mature delivery  The city management can share real-time road conditions images or video, reflect road level and post-disaster road conditions, and street management capabilities  Provide scientific and technological law enforcement capabilities to localities-image recording of license plate recognition can assist police units in investigating cases

The power of 5G opens new opportunities for manufacturing upgrades. FET integrates Big data, AI and IoT technologies to build the first “5G Smart Factory” in Taiwan. We provide comprehensive smart manufacturing solutions from IT to OT, accelerating the progress towards Intelligent Manufacturing！ Features * 5G Private Network as a Service：Enhancing network security with MEC, seamless movement between buildings and flexible production with different industry I/O to 5G wireless network * AI Production Line Auditing：Manual process motion detection and intelligent control without omission * Smart Sensing：Real-time sensing of machine and pipeline abnormalities through flexible soft sensing patches * Enterprise Intelligent Cloud Center：Based on the “IT as a Service” concept to assist enterprise to build up Intelligence Cloud Center, which supports multi- services like virtual machines, virtual desktops, container and extension to the cloud

Our team has built predictive models based on whole transcriptome data from patients with advanced metastatic prostate cancer, focusing on two different mechanisms of action: androgen receptor antagonists and androgen synthesis inhibitors. These two types of drugs essentially offer only one chance of selection, as resistance to one renders the other ineffective. Using weighted gene correlation network analysis, we identified several gene modules correlated to specific drug responses. Then, we combined several machine-learning algorithms and constructed classification models for different drug mechanisms. Our goal is to use detection services to determine the most effective drug for patients before administration.

The application of digital twin technology in building smart cities is becoming increasingly clear, serving as a crucial engine for driving urban transformation. In the development of smart cities in recent years, citizens can view the growth and development of the entire city, including population growth, new construction, and other major activities, in a 3D format, gradually emphasizing the concept of a virtual city. Digital twin technology can simulate disaster scenarios, including weather events and traffic accidents, assisting disaster response personnel in rapidly understanding the situation and optimizing the efficiency of disaster response. In recent years, with the advancement of aerial photography, simulation technology, and computing resources, The National Science and Technology Center for Disaster Reduction has leveraged advanced technology to create a mountainous flood inundation model system. This system enhances disaster warning and impact analysis, providing a comprehensive view of vulnerable settlements. It utilizes dynamic models and virtual-real integration, presenting alert information and disaster impacts through visual elements, contributing to informed decision-making in disaster situations.

The system developed by this project provides a smart solution for station including digital fence system, platform pedestrian flow analysis, animal tracking expelled system, track water situation analysis system and platform digital information signage. The platform comprehensively analyses the image of around the station, train coordinates, passenger entry and exit, and water depth etc. Which can be used for follow up review and improvement of abnormal events such as track intrusion, crowd congestion and road flooding to achieve optimal train operation configuration and class spacing control. And provide abnormal event warning and troubleshooting and passenger intelligence information services. After the integration of multiple subsystem through the IOC platform, the system will automatically alert an alarm to the traffic control center and announce the train near the area to remind the driver to pay attention to the situation and enhance the safety of the train and the people or cars in the area when the detection system alarms.

With 1.4 GW of solar power resources, it provides a convenient platform for businesses and individuals to purchase renewable energy. By integrating AI technology and an optimized supply-demand matching mechanism, InteGreen helps users quickly find the best purchase plan. Its user-friendly interface allows users to easily follow renewable energy’s unstable dynamics.

The BSMX series of early warning modules for lithium battery thermal runaway, developed by Taiwan Intelligent Pollutant Sensing Co., Ltd., is a next-generation BMS upgrade solution that requires only simple installation to integrate with existing systems. The module is equipped with high-sensitivity sensors developed specifically for energy storage safety applications, with a rapid response time of as fast as three seconds. The module offers multiple signal output interfaces to choose from and features a proprietary smart algorithm that eliminates the need for calibration after installation. It is particularly suitable for energy storage systems that operate continuously for long periods and are difficult to maintain. E-bike version has a significant improvement in power consumption.

ICP's PowerTrade integrates advanced ICT technologies to provide real-time monitoring of trading resources and execution rate calculations, enabling qualified traders to track trading conditions efficiently. PowerTrade supports resource aggregation, offering aggregators the optimal management tools to facilitate external and internal settlements.

With the rapid growth of electric vehicles (EVs) in Taiwan, the demand for charging infrastructure is increasing. However, most developments focus on high-power DC fast charging systems, which face significant challenges. Complicated feeder application procedures and imbalances in urban power grids make it difficult to deploy medium and large-scale charging stations. While AC chargers (up to 22kW) are easier to install, they fail to meet the need for fast and efficient charging. To address these challenges, GREAT introduces the "Charging Silk Road" solution. This innovative system combines advanced energy storage systems (ESS) with fast charging equipment to enable independent power supply and reduce reliance on the public grid. By integrating renewable energy sources such as solar and wind power, the system maximizes energy efficiency and sustainability. Additionally, the solution features Vehicle-to-Grid (V2G) capability, allowing stored energy to be fed back to the grid during peak demand or emergencies, supporting grid stability. Through a distributed, multi-site deployment model based on independent microgrids, GREAT’s Charging Silk Road creates a flexible, resilient, and efficient green charging network, accelerating the transition to net-zero carbon emissions.