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.

With the development of technology and the gradual shortage of working manpower, more and more AI intelligent robots have been developed and officially applied in the workplace. How should human beings think and respond to such a wave of technology? Will jobs really be completely replaced?

Tiny AI integrates low-power, small-volume NPU, and MCU adapts to various mainstream 3D sensors in the market. And supports three mainstream 3D sensing technologies such as structured light, ToF, and binocular stereo vision, to meet the needs of voice, image, and so on to identify 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.

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.

In an increasingly connected society, technology has brought about changes and reshaped business models. Through the epidemic, and looking forward to the future, emerging technologies can help companies break through business challenges and create a fairer and more resilient society. The following will summarize and explain the ten technology trends that will shape the industry in 2022.

IoT is the current mainstream trend in technology. In this way, we will discuss the industrial changes and market opportunities of the digital revolution, and will further analyze the technology and application fields of IoT.

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.

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.