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The image recognition function of artificial intelligence (AI) is becoming more and more powerful. Face recognition, license plate recognition, and object recognition are not uncommon. In the fields of smart manufacturing and warehousing logistics, more and more manufacturers are beginning to introduce AI technology into more special applications.
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.
Electric vehicles are only a small part of the future mobility trend. The future trend is not only electric vehicles, but also generates hidden business opportunities, and the opportunities are endless.
Refers to the use of imaging, medical image processing technology, and other possible physiological and biochemical means, combined with computer analysis and calculation, to assist radiologists in finding lesions and improve the accuracy of diagnosis.
The introduction of chatbots into conversational commerce has become a trend of transformation, but for small and medium-sized enterprises, the cost of introduction is high, there is a shortage of information talents, and the amount of member data is insufficient. What benefits can enterprise get from investing in the introduction system?
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.
Deep learning is a way of machine learning, by building a network, setting goals, and learning. Deep learning is not a panacea for artificial intelligence, it can only be designed for specific needs.
Machine learning (ML) is a type of artificial intelligence (AI) that allows businesses to make sense of large amounts of data and learn something. Through mathematical optimization, it can help to interpret the correctness of data and improve the decision-making basis of machine learning.
How can AI and IoT technologies assist pedestrians, traffic units, and police units to help smooth, convenient, and safe traffic?
What the really is artificial intelligence doing now? Artificial intelligence, machine learning, and deep learning can't tell the difference? Don't worry, we would analyze the differences in an easy-to-understand way. The following will solve the doubts!
What is Artificial Intelligence (AI)? At present, in which life scenarios has artificial intelligence been used? How will it change the future? Artificial intelligence is the power of the new era. In the future, there will be no modern industries that have nothing to do with artificial intelligence. Artificial intelligence (AI) has illuminated the prospects of a new generation of technology. Since then, people have quickly used huge amounts of data to analyze and carry out machine learning. solution, leading to the best decision. How does this technology work and drive the development of other new technologies? What are the development trends of artificial intelligence?
Wafer-level packaging (WLP) has gained traction over the past decade as the semiconductor industry continues to push for generations of higher-performance chips. Back-end packaging technologies are becoming increasingly important in meeting the demands of low-latency, high-bandwidth, and low-cost semiconductor devices.
The vision of the Internet of Things is to make everyone's life better, safer, and more convenient. To achieve this goal, we must first increase the speed of data processing, generate real-time intelligence, and allow IoT data to make informed decisions in seconds.
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 has brought the whole world into the era of the Internet of Things. This new era has more advancements in the area of intelligent design than the information age, and smart sensors have played an indispensable role in its development.
With the rapid development of emerging industries such as the Internet of Things and mobile Internet, smart sensors are becoming more popular. Smart sensors are composed of sensing elements and signal conditioning circuit controllers that 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.
The variety and volume of data that is being transmitted via the internet today, as well as the velocity at which it is being transmitted is constantly increasing. These data sets are so voluminous that traditional data processing software just can’t manage them, and so they have come to be called “Big Data”. The massive volume of data necessary to address new and more complex business operations has brought about new challenges to meeting the requirements of these new developments.
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.
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.
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