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- Artificial Intelligence (AI)
With the advent of Industry 4.0, countries have also adjusted their industrial manufacturing strategies to enhance their smart manufacturing capabilities.
Artificial intelligence illuminates the evolution of IoT and promotes three key application areas.
Smart machinery manufacturers must accelerate innovation, gain the policy resources of the production and innovation platform, develop the domestic industrial acceleration scale group, and the intelligent diagnosis maintenance system (IDMS), which has been successfully introduced into the innovative application of high-tech industries.
Taiwan's IBM announced that it has joined forces with a large domestic solution integrator (SI) to identify the pain points that are difficult to integrate between IT and OT in the manufacturing industry, and uses the IBM Smart Manufacturing 5C maturity model as the blueprint. Both parties will provide pre-introduction evaluation services, depending on needs. However, SI will provide OT and IT integration services, or IBM will provide more data-driven AI value-added services.
In the era of digitization of science and technology, only by mastering key technologies and continuously following technological changes can we consolidate our competitiveness. Nowadays, packaging machinery combines data connection, unmanned operation, green packaging materials, and safety considerations, and enriches relevant intelligent data technology, so that it can continue to progress in the market.
With the global economic development, the demand of the consumer market has driven the vigorous growth of the textile industry. However, under the business model of production-based sales, excessive production has not only caused environmental pollution but has also caused unnecessary waste of resources. Over the past few years, this has led the United Nations and the European Union, to begin to advocate "sustainability" and "environmental protection" as the focus of global development for the next 10 years.
Artificial intelligence has brought in a new generation of robotics technology: Robotics 2.0. The principal challenge is the transformation from original manual programming methods to true autonomous learning. Faced with this challenge for innovation in AI robotics, how can Taiwan's manufacturing industry best seize the opportunity?
Improving production efficiency is the foundation for the manufacturing industry to gain a firm foothold. The manufacturing industry achieves smart operations by introducing AI applications, automatically identifying abnormalities, or making adjustment suggestions, and assisting companies in achieving more accurate adjustments to machines and upgrading equipment. During the process, the traditional manufacturers are transformed into the smart manufacturers.
Technology seeks transparent and easy-to-access features, so that technology is no longer limited to a few Human hands; daily life scenes are also expected to be shaped by augmented reality, wearable devices, etc., with a brand-new future look.
The concept of the Metaverse is to use immersive technology to create a second "virtual parallel time and space" in the physical world. People will be able to enter a new virtual world where they can work, socialize and play through virtual identities.
Further improvement based on AI is the future development direction of Automatic Optical Inspection (AOI), and training algorithms for optical inspection applications can bring higher decision-making capabilities. AOI technology is currently widely used in industry, agriculture, biomedical and other industries, especially in precision manufacturing and assembly industries.
With the advent of the AI era, the medical community has begun to use AI data analysis, develop surgical robots, and collaborate with doctors to create innovations in precision medicine.
Surgical robots are useful for minimally invasive surgery because they can perform precise manipulations of surgical instruments beyond human capabilities in small surgical spaces.
With increasingly complex IT architecture exacerbating maintenance and operation challenges, the demand for IT agility is driving the growth of the AIOps market.
AIOps uses artificial intelligence to simplify IT job management and accelerate and automate problem resolution in complex, modern IT environments.
Through machine learning and neural networks, AI technologies power self-driving car systems that can drive autonomously. A self-driving car is a vehicle that uses a combination of sensors, cameras, radar and artificial intelligence (AI) to travel between destinations without a human operator. To qualify as fully autonomous, a vehicle must be able to navigate without human intervention to a predetermined destination over roads that have not been adapted for its use.
Technology supports and drives innovation. Technological advancements allow manufacturers to create higher quality goods, increase production speeds, lower expenses, and realize more efficient operations to become more competitive.
A bipolar junction transistor (BJT) is a current-driven semiconductor element that uses a small amount of current to control the flow of a larger electric current. In contrast to a unipolar transistors, such as a field-effect transistors which uses only one kind of charge carrier, a BJT uses both electrons and electron holes as charge carriers. BJT Transistors can be used to amplify weak electrical signals and are also used as oscillators or as switches.
While fitness tech has been one of the fastest-growing sectors in the world since 2016, the pandemic might just have triggered the sharpest growth in the industry yet. Digital fitness trends will shape the next decade. Fitness providers were also beginning to identify the demand for virtual training and recognize the potential of online services which are giving rise to an era of technology-driven fitness.
Industry 4.0 has become an increasingly important topic of concern. Within Industry 4.0, the Internet of Things (IoT) plays an important core role in connecting the entire system, and has developed a wide range of applications. Many people may think that the IoT is far away and does not concern them, but in fact, there are many applications of the IoT in use in everyday life which most people may not realize. This article will share what the IoT is and its application in life.
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