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.

Utilize industrial augmented reality technology and virtual reality to further improve employee productivity, efficiency, and customer satisfaction through real-time step-by-step work instructions.

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?

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 development of low-orbit satellites has attracted attention from all walks of life in recent years under the development of resources injected by international science and technology companies. Large-scale satellite galaxies, unlike past satellite communication systems, can provide broadband transmission and global connectivity services.

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 Internet of Things (IoT) is driven by the M2M (Machine-to-Machine) paradigm, which provides the ability to connect anytime, anywhere among many smart devices. Wireless communication makes M2M communication much easier, it has more applications.

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.

A service robot is defined as improving the quality and convenience of human life. It provides semi-automatic or fully automatic services through the combination of a mobile base and a robotic arm and is equipped with a controller device.

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.

Robotic behavior is often built as a computational graph, with data flowing from sensors to computational technology, all the way to actuators and back. To gain additional performance capabilities, robotic computing platforms must efficiently map these graph-like structures to CPUs, as well as to specialized hardware including FPGAs and GPUs.

To meet the innovative application needs of the next generation, while ensuring the best user experience and energy efficiency, MediaTek pointed out today that 6G will enable ubiquitous global network connectivity, and 6G data transmission rates will increase to 10 to 100 times that of 5G's, giving ultra-low latency that will match the requirements of advanced applications.