Computing power monitoring

1.

The types of chips that provide computing power for AI include GPU, FPGA and ASIC

GPU is a kind of microprocessor specialized in image operation on personal computers, workstations, game machines and some mobile devices (such as tablet computers, smart phones, etc.). It is similar to Cu, except that GPU is designed to perform complex mathematical and geometric calculations, which are necessary for graphics rendering

FPGA can complete any digital device function chip, even high-performance CPU can be implemented with FPGA. In 2015, Intel acquired the FPGA long alter head with us $16.1 billion. One of its purposes is to focus on the development of FPGA's special computing power in the field of artificial intelligence in the future

ASIC refers to the integrated circuits designed and manufactured according to the requirements of specific users or the needs of specific electronic systems. Strictly speaking, ASIC is a special chip, which is different from the traditional general chip. It's a chip specially designed for a specific need. The TPU that Google recently exposed for AI deep learning computing is also an ASIC

extended data:

chips are also called integrated circuits. According to different functions, they can be divided into many kinds, including those responsible for power supply voltage output control, audio and video processing, and complex operation processing. The algorithm can only run with the help of chips, and because each chip has different computing power in different scenarios, the processing speed and energy consumption of the algorithm are also different. Today, with the rapid development of the artificial intelligence market, people are looking for chips that can make the deep learning algorithm perform faster and with lower energy consumption

2.

Wu Wei, director of the mechanical equipment department of the Instrial Development Department of the national development and Reform Commission, said that in the future, automobiles made in China will have the most integration of new technologies and innovations in the world, and will also lead the global automobile instry

at the same time, the competition in the automotive chip field is also extremely fierce. Compared with the chips of consumer electronics procts, automotive chips have higher requirements for safety and stability, which is a common problem faced by the chip instry and an opportunity for Chinese chip companies

conclusion: self developed technology makes Zero run more competitive

Zero run car is the first self-developed auto driving chip among the new Chinese car making enterprises, and the Zero run car C11 with this chip will be released next month. The rapid progress of Zero run vehicles in the field of automatic driving has also been recognized by users

According to the statistical data, the sales volume of the two mass-proced models of Zero run Auto has graally increased since July this year. The sales volume has exceeded 1000 in September, and is expected to exceed 1600 in October. A large number of self-developed technologies have made Zero run a new force of car making more competitive

this article comes from the author of car home, which does not represent the standpoint of car home

3. Triporg travel: it is a blockchain tourism service application, which can provide reservation services such as train tickets.

4. It can be monitored in real time. I was informed when the computing power changed last time.

5. Although the state has repeatedly stressed the drawbacks of throwing objects at high altitude, and listed the illegal acts and punishment in the civil law, throwing objects at high altitude is still common, and its root is that the source can not be traced, so the offenders are unscrupulous
with the breakthrough of artificial intelligence technology in computing power and algorithm, jialianbao has developed a high-altitude parabolic AI intelligent monitoring solution to solve this problem, which is specially designed for high-altitude parabolic monitoring in the community, and uses AI technology to detect the high-altitude throwing behavior in the community, so as to prevent the occurrence
Jia Lian Bao AI surveillance cameras are deployed around the community to cover the balcony area of the building from bottom to top. When there are falling objects, the intelligent analysis algorithm can quickly detect and alarm. At the same time, it is convenient for the backstage to find the real-time police situation and trace the source, and help the public security personnel to find the relevant responsible person, and then investigate their responsibility
even AI intelligent analysis can detect and analyze people's behavior, identify the behavior of throwing objects at high altitude in advance, and link with sound and light to prevent dangerous behavior in advance
in addition, e to the complex environment of the balcony, the false alarm rate of intelligent monitoring is high. Therefore, Jia Lian Bao AI intelligent monitoring carries out anti-interference training for AI intelligent video analysis function through algorithm learning library, so as to realize accurate recognition of target behavior in complex scenes
in terms of surveillance camera deployment and installation, according to the location, floor, orientation, spacing and other conditions of residential buildings, the integrated deployment and installation of high-altitude parabolic surveillance camera can cover the balcony of the surveillance floor and provide data source for AI behavior detection
in addition, Jia Lian Bao's AI intelligent monitoring system for high-altitude parabola includes the public road area where high-altitude parabola is most likely to occur in the community into the scheme of high-altitude parabola monitoring system, forming a complete evidence chain of high-altitude parabola before, ring and after the event
compared with traditional monitoring, Jia Lian Bao AI high altitude parabolic monitoring solution overcomes the technical shortcomings of traditional monitors, especially the problem of poor traceability effect
highlights of the scheme
Jia Lian Bao's AI intelligent monitoring solution for high-altitude parabolic not only covers the balcony of all floors of the community as far as possible, accurately identifies the behavior of high-altitude parabolic, achieves early warning and has laws to follow, so as to effectively avoid the occurrence of high-altitude parabolic behavior

in addition to monitoring high-altitude parabolic behavior, other pain points existing in the community can be effectively solved through jialianbao AI intelligent monitoring scheme, such as lake surface defense in the perimeter, community crowd gathering, garbage sorting, illegal parking, human like wall climbing, burglary, etc., so as to help the property to improve the management level and service ability, and provide residents with all-round safety and security services Smart community living environment.

6. Hello
analysis cloud mainly provides algorithm management, algorithm evaluation, algorithm scheling, computing power management, intelligent analysis capability output and other functions, forming a standardized and unified intelligent analysis service proct, providing intelligent analysis services in two ways: capability output and application output.

7.

When you have more places to stay, you will find that what kind of person you are is related to the environment. Let's take driving as an example. No matter where the car is in Shenzhen, blue, yellow or Hong Kong and Macao, everyone is a good driver who abides by the law. Why do you behave? Because of strict management, other places will be fined 200, Shenzhen 1000 starts, 2000 capped, 5-10 times critical hit damage

once out of Shenzhen, a small number of Guangdong B brand will be unscrupulous, don't drive, speeding, occupy the emergency lane, everything, just like cctv-13. The story of yueb brand shows that people will not consciously maintain order without supervision

this article comes from the author of auto home, which does not represent the standpoint of auto home

8. AI ultra low light level bayonet doesn't need supplementary light, but needs low light. Therefore, it can alleviate the light pollution problem of traffic bayonet
one of the more important functions of AI ultra low light level bayonet is to improve the safety of driving through the bayonet, as well as the subjective experience of human eyes on captured images, which is more convenient to analyze vehicle signs and drivers.

9. As a public opinion instry, Lao Yang has been chatting for many years. When monitoring and analyzing public opinion, we should analyze it from the development context dimension of the event itself, the dimension of network communication data, social impact and netizens' views. In real analysis, we need to pay attention to the problem of false data, which can be handled from a technical point of view, but most of the public opinion procts are unable to solve the problem of computing power. Our company's five section public opinion monitoring system has great barriers to competition in computing power, data analysis and other capabilities, which can help your needs.