For over a century, the printing industry has been regarded as a relatively mature and stable sector. However, as market demand diversifies and the wave of digitalization accelerates, printing is undergoing a profound transformation. In the era of Industry 4.0, intelligence and automation have become the keywords of competitiveness. From AI (Artificial Intelligence) to IoT (Internet of Things), and the rise of post-press automation, these technologies are quietly reshaping every step of the printing process. Printing is no longer just about reproducing text and images; it is evolving into an era of “smart manufacturing” that is more efficient, precise, and environmentally friendly.

The Internet of Things (IoT) is far more than just connecting your phone to Wi-Fi or making your appliances smart. It’s a massive intelligent ecosystem where everyday "things" can network, communicate, and share information. Simply put, IoT is a network of smart devices and sensors that can exchange data. In this hyper-intelligent ecosystem, every machine, every sensor, and even every piece of clothing seems to have a voice, sharing real-time data and working together. The IoT is changing our world and driving the next wave of technological revolution.

In the global manufacturing industry’s shift toward Industry 4.0, smart upgrades are no longer optional—they’re essential for staying competitive. At the core of this transformation is the conversion of traditional factories into data-driven, smart ecosystems. This complex undertaking isn’t something companies can tackle alone. A series of policies and international collaborations, from governments’ high-level strategies to industry alliances’ communication standards, are paving the way for smart manufacturing. This allows technologies like remote monitoring and predictive maintenance to move from blueprints to reality more quickly, fundamentally changing how factories operate worldwide.

In the rapidly developing digital era, healthcare is being profoundly transformed by Artificial Intelligence (AI), the Internet of Things (IoT), and wearable devices. This is not just a technological upgrade; it is akin to the "iPhone moment" that disrupted traditional healthcare services and doctor-patient interactions, opening a new chapter in health management. Historically, medicine has been a "passive" journey fraught with uncertainty and high barriers. The powerful rise of AI is now painting a new blueprint for the global healthcare industry, steering health management toward a smarter and more personalized future.

LEO proudly introduces its latest dual-frequency ultrasonic cleaning system, integrating automatic lifting and intelligent control for a significant breakthrough in cleaning processes across industrial and medical sectors. This innovation not only enhances cleaning quality and efficiency but also reduces operational risk and labor costs, reinforcing LEO’s core value and competitive edge in precision cleaning technology.

From initial fabrics to smart textiles integrated with modern technology, apparel is no longer merely for covering and decoration. Instead, it is gradually transforming into an intelligent partner capable of sensing its environment and its user. This quietly emerging textile revolution is redefining our perception and expectations of "wearable" products. This article will deeply explore the definition of smart wearables and their revolutionary aspects, analyze their cutting-edge applications in the field of health and medicine, and look forward to their future development and the challenges they face, revealing how smart textiles are reshaping our lifestyle.

The manufacturing industry is currently at a critical crossroads of dramatic change. With the advent of Industry 5.0 and the wave of digital transformation, product designs are becoming increasingly complex, and material selections are trending towards high hardness and difficult-to-machine properties. This presents a true test for the machining tools responsible for the final product quality. Industries such as molds, semiconductors, optics, and aerospace no longer just demand that tasks be "done," but that they be "done precisely, efficiently, and sustainably." Traditional tools often fall short in durability, precision, and efficiency when facing high-hardness materials like tungsten carbide and ceramics, as well as complex, confined geometric spaces. The market not only needs tougher tools but also solutions that can adapt to smart manufacturing trends, improve overall yield, and reduce total costs.

The textile industry is one of Taiwan's major industries, covering a wide range from raw material procurement to end consumption. However, this large and complex supply chain has accumulated long-standing issues, such as unclear labor rights, environmental degradation, lack of transparency, and unclear product origins. As consumer demand for sustainable products increases, improving supply chain transparency and ensuring product quality has become a significant challenge.

Nowadays, the traditional industry combines the technology of the Internet of Things, towards the innovation of Industry 4.0 and the development of intelligent manufacturing.

In the field of manufacturing and supply chain, the technical assistance of Industry 4.0 and 5G and AI, combined with blockchain, can promote the new development of manufacturing and achieve more effective integration of hardware, software and services.

Today, the Internet of Things is still a hot topic in many industries. Emphasizing the benefits of adopting this technology, Fortune Business Insights estimates that by 2026, the global Internet of Things market will reach 1102.6 billion US dollars.

To realize the smart city of the future, it is indispensable to build a safer and more efficient traffic environment, and smart vehicles with networking and various advanced functions are the key.

With the rapid development of the automotive industry in smart driving, safety assistance, automotive electronics, and human-machine interface-related technologies, the integration of virtual and real superimposed displays, driver monitoring systems (DMS), interactive functions, Internet of Things (IoT) of the smart cockpit system have become the current trend.

The IoT is becoming fragmented, and the market demand for customized measurement is increasing. Under the four conditions of product size and shape, high computing, networking capabilities, and sensor interface integration, measurement and IoT vendors will customize design, so this article will focus on a key application of customized measurement: smart sensor.

The development of smart sensors can be a high degree of integration of mechanical, electrical, software/firmware, circuit, and sensor knowledge.

With the rise of global environmental protection awareness, the improvement of process efficiency and pollution reduction of plastic products have become important issues for the rubber and plastic industry. In response to the shortage of workers and the reduction of personnel contact, mechanical automation and cloud services have become the new normal in the industry.

The rising trend of e-commerce and retail online shopping has directly led to the improvement of distribution performance. In addition to the continuous expansion of the operating territory of local distribution companies, offline retail and mass stores have begun to carry out a series of measures to shorten delivery time and improve service quality.

In the new normal of future changes, whether it is the ICT industry, the supply chain, or even the industrial ecosystem, it is necessary to think about how to improve resilience to respond to environmental changes from a mid-to-long-term perspective. It will be important to improve the resilience of the supply chain from procurement to production. The key to future competitiveness.

Data science is a complex process of extracting, integrating, and analyzing data, combining knowledge from computer science, mathematics, statistics, and related fields to help companies understand their customers, understand industry competition, and make relative decision-making.

Utilize industrial augmented reality technology and virtual reality to further improve employee productivity, efficiency, and customer satisfaction through real-time step-by-step work instructions.