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.
AIOps uses artificial intelligence to simplify IT job management and accelerate and automate problem resolution in complex, modern IT environments.
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.
After the outbreak of the global epidemic, people stopped going out to shop, traditional retail stores were forced to transform, and the e-commerce market experienced explosive growth. Although vaccinations have gradually become popular and society is slowly opening back up, everyone has already developed the habit of online shopping. The epidemic has accelerated the phenomenon of digital transformation. What will be the digital economic trend of retail in the future? What other innovative technologies are the key to transformation?
The Metaverse is a new third wave of industry trends that will become more and more important over the next 10 to 20 years. At the singularity moment of the metaverse, the point in time at which technological growth becomes uncontrollable and irreversible, digital assets will be more valuable than physical assets.
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?
Artificial Intelligence, Machine Learning, Deep Learning, and Big Data are topics that have been frequently discussed recently. These technologies are used in many fields, including the financial industry, logistics industry, business analysis, unmanned vehicles, computer vision, natural language processing, etc., and have spread in every corner of life.
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.
In the trend of industrial automation, motion control is a key part of it. Automating operations through machines can avoid a lot of human error, and can also speed up production efficiency and efficiency. How to make the machine act according to the command is the application category of machine motion control.
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.
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.
The advent of the Industry 4.0 era, coupled with the continued fever of the China-US trade war, has driven Taiwan's manufacturing industry to transform its digital manufacturing into smart manufacturing through digitalization and intelligentization. However, there are four major challenges encountered during the transformation process, and finding a solution to the practice will be the key to the company's victory.
Under the leading policy of "Industry 4.0" in Germany, the manufacturing industry followed the concept of "smart manufacturing", and introduced the digital application of machinery into the factory. Based on the information technology services that belong to the energy economy category, it was imported from cloud software. Optimize the process. This kind of service platform is built on a modular structure that can be flexibly combined and uses AI to assist in providing strategic recommendations to achieve the energy-saving benefits of IoT machines.
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