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The Smart Machinery Cloud Platform intends to establish standardized terminal software and hardware, application service development tools, and an operation platform to assist enterprises in their digital transformation.
The development of new technologies of the Internet of Things has brought the whole world into the era of the Internet of Things, which is a new era that is more intelligent than the information age. In the process of developing the Internet of Things, smart sensors play an indispensable role.
With the rapid development of emerging industries such as the Internet of Things and mobile Internet. Smart sensors are composed of sensing elements, and signal conditioning circuit controllers, and have data acquisition, conversion, analysis, and even decision-making functions. Intelligence can improve the accuracy of the sensor, reduce power consumption and volume, and achieve easier networking, thereby expanding the application range of the sensor and making its development more rapid and effective.
Big data is larger, more complex data sets, especially from new data sources. These data sets are so voluminous that traditional data processing software just can’t manage them. But these massive volumes of data can be used to address business problems you wouldn’t have been able to tackle before.
Industry 4.0 has always been a topic of concern. Among them, the Internet of Things (IoT) is one of the important cores connecting the entire system, and it has a wide range of applications. It has related applications from cities to home life. Many people may think that the IoT is related to themselves. It is very far away, but in fact, there are many applications of the IoT in life, but most people may not realize it because they do not understand it, so this article will share what the IoT is and its application in life.
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.
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.
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.
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.
With increasingly complex IT architecture exacerbating maintenance and operation challenges, the demand for IT agility is driving the growth of the AIOps market.
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 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.
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.
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.
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.
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.
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?
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.
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.
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