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What is artificial intelligence
What is artificial intelligence
AI has become the representative of the advanced consumption power in the new era, and has benefited from the leap of big data, computing power and algorithm. AI has entered the best period of development in decades.
Agriculture
In addition to the NetEase and Goldman Sachs, this year, the Alibaba announced that it would use artificial intelligence to raise pigs.
What they want to do is to use artificial intelligence technology to improve the efficiency of pig raising. These technologies include video image analysis, face recognition, speech recognition, logistics algorithms and so on.
In the process of using artificial intelligence pig farms, sow consumption process, through video and image analysis technology, the camera can automatically analyze and record the number of piglets born, labor or caesarean section. Also, through speech recognition, once the piglets were caught squeaks from the sow, the system would prompt the keeper to save it at the first time.
Each pig has its own files from the date of birth. Video and image analysis technology can record pig's weight, eating status, exercise intensity, frequency and trajectory. If a pig can't afford to sleep, artificial intelligence will determine whether it is pregnant or ill, prompting artificial intervention in time. If pigs just want to be lazy, the keepers will let them walk more in order to avoid affecting the ratio of raw materials to meat.
AI can also monitor the body temperature and cough voice through infrared thermometer and speech recognition technology. Once abnormal, it can make epidemic alert at the first time.
Security
The application of AI in the security category.
With the development of a safe city in China, monitoring equipment is perfected from time to time, and massive data can be generated.
The application of artificial intelligence in the public security industry is gradually landing, making it possible to quickly discover the clues of the suspect in the massive video information.
The front end of the camera is built through the AI chip, which can analyze the video content in real time, detect moving objects, identify human vehicle attribute information, and then transmit it to the central database store of the backend through the network.
After summarizing these information, the AI algorithm stops the real-time analysis of the suspect's information, and gives the most probable clues, which will shorten the track of the meritorious suspects from a few days to a few minutes, and save valuable time for the detection of cases.
manufacturing industry
There are many industrial robot's consumption lines. If a robot presents faults, when operation and maintenance personnel perceive it, they often produce a lot of defective products.
If all the equipment in the production line on the appropriate sensor device, the application of artificial intelligence and networking technology to test the equipment operation state, and the application of neural network to establish the model of equipment failure, it can make a prediction on the wrong before the onset, to achieve effective prevention, so as to reduce the loss.
In the field of AI, there is a famous person called Wu Enda. He founded a company called Landing.AI last year, which is specially designed to deal with the problem of artificial intelligence in the manufacturing industry.
automobile
And as for the entire automotive industry, the application of artificial intelligence has to be driven by intelligent driving, which is a trillion - level market.
According to the US Highway Safety Administration (NHSTA) definition, intelligent driving is divided into five levels:
Level 0: the driver (No-Automation), complete by the driver to control the car, including the throttle, brake, steering, gear and so on.
Level 1: specific functional auxiliary driving (Function-Specific Automation), such as anti lock braking system (ABS), electronic stability control (ESC), and so on.
Level 2: combined function Combined Function Automation, such as adaptive cruise control (ACC), Lane holding assist system (LKA), lane departure warning (LDW), etc.
Level 3: Limited (Limited Self-Driving Automation) unmanned, can no one in the specific traffic environment driving, for example Google unmanned vehicle can accomplish unmanned in some areas, but still needs real-time monitoring of the state of the vehicle, once made to switch back to manual driving.
Level 4: Full Self-Driving Automation is the ideal form of intelligent driving. Passengers only need to provide destinations, so they do not need to stop monitoring any vehicle at any time.
At present, the technology of intelligent driving at home and abroad is still in the degree of Level 2 to Level 3.
traffic
Because of the collection of people in all walks of life, the city provides a lot of convenience for people, but it also brings a pain point - traffic jam.
To deal with this pain point, similar to the Alibaba City brain has become one of the feasible plans.
Based on the traffic data of the urban sea volume, the urban brain applies machine learning technology to optimize and iterate the algorithm model, so as to provide better suggestions for the traffic control department.
For example, the setting of traffic lights at each intersection, the monitoring and allocation of traffic jam, the rational dispatching of public transport vehicles and routes, and the planning of road construction and maintenance.
In Hangzhou, within the pilot area of the city's brain, the traffic time of 128 signal crossings was reduced by 15.3%. In the main city, the city's brain has been alert more than 500 times, with an accurate rate of 92%. After the pilot of special vehicle priority dispatching in Xiaoshan District, ambulance can shorten the time to arrive at the rescue site by 50% without the red light running, from the past 15 minutes to 7 and 8 minutes now.
Medical care
With regard to the application of artificial intelligence in the medical category, a case of a medical image is presented here.
Do you understand thyroid nodules? on
Agriculture
In addition to the NetEase and Goldman Sachs, this year, the Alibaba announced that it would use artificial intelligence to raise pigs.
What they want to do is to use artificial intelligence technology to improve the efficiency of pig raising. These technologies include video image analysis, face recognition, speech recognition, logistics algorithms and so on.
In the process of using artificial intelligence pig farms, sow consumption process, through video and image analysis technology, the camera can automatically analyze and record the number of piglets born, labor or caesarean section. Also, through speech recognition, once the piglets were caught squeaks from the sow, the system would prompt the keeper to save it at the first time.
Each pig has its own files from the date of birth. Video and image analysis technology can record pig's weight, eating status, exercise intensity, frequency and trajectory. If a pig can't afford to sleep, artificial intelligence will determine whether it is pregnant or ill, prompting artificial intervention in time. If pigs just want to be lazy, the keepers will let them walk more in order to avoid affecting the ratio of raw materials to meat.
AI can also monitor the body temperature and cough voice through infrared thermometer and speech recognition technology. Once abnormal, it can make epidemic alert at the first time.
Security
The application of AI in the security category.
With the development of a safe city in China, monitoring equipment is perfected from time to time, and massive data can be generated.
The application of artificial intelligence in the public security industry is gradually landing, making it possible to quickly discover the clues of the suspect in the massive video information.
The front end of the camera is built through the AI chip, which can analyze the video content in real time, detect moving objects, identify human vehicle attribute information, and then transmit it to the central database store of the backend through the network.
After summarizing these information, the AI algorithm stops the real-time analysis of the suspect's information, and gives the most probable clues, which will shorten the track of the meritorious suspects from a few days to a few minutes, and save valuable time for the detection of cases.
manufacturing industry
There are many industrial robot's consumption lines. If a robot presents faults, when operation and maintenance personnel perceive it, they often produce a lot of defective products.
If all the equipment in the production line on the appropriate sensor device, the application of artificial intelligence and networking technology to test the equipment operation state, and the application of neural network to establish the model of equipment failure, it can make a prediction on the wrong before the onset, to achieve effective prevention, so as to reduce the loss.
In the field of AI, there is a famous person called Wu Enda. He founded a company called Landing.AI last year, which is specially designed to deal with the problem of artificial intelligence in the manufacturing industry.
automobile
And as for the entire automotive industry, the application of artificial intelligence has to be driven by intelligent driving, which is a trillion - level market.
According to the US Highway Safety Administration (NHSTA) definition, intelligent driving is divided into five levels:
Level 0: the driver (No-Automation), complete by the driver to control the car, including the throttle, brake, steering, gear and so on.
Level 1: specific functional auxiliary driving (Function-Specific Automation), such as anti lock braking system (ABS), electronic stability control (ESC), and so on.
Level 2: combined function Combined Function Automation, such as adaptive cruise control (ACC), Lane holding assist system (LKA), lane departure warning (LDW), etc.
Level 3: Limited (Limited Self-Driving Automation) unmanned, can no one in the specific traffic environment driving, for example Google unmanned vehicle can accomplish unmanned in some areas, but still needs real-time monitoring of the state of the vehicle, once made to switch back to manual driving.
Level 4: Full Self-Driving Automation is the ideal form of intelligent driving. Passengers only need to provide destinations, so they do not need to stop monitoring any vehicle at any time.
At present, the technology of intelligent driving at home and abroad is still in the degree of Level 2 to Level 3.
traffic
Because of the collection of people in all walks of life, the city provides a lot of convenience for people, but it also brings a pain point - traffic jam.
To deal with this pain point, similar to the Alibaba City brain has become one of the feasible plans.
Based on the traffic data of the urban sea volume, the urban brain applies machine learning technology to optimize and iterate the algorithm model, so as to provide better suggestions for the traffic control department.
For example, the setting of traffic lights at each intersection, the monitoring and allocation of traffic jam, the rational dispatching of public transport vehicles and routes, and the planning of road construction and maintenance.
In Hangzhou, within the pilot area of the city's brain, the traffic time of 128 signal crossings was reduced by 15.3%. In the main city, the city's brain has been alert more than 500 times, with an accurate rate of 92%. After the pilot of special vehicle priority dispatching in Xiaoshan District, ambulance can shorten the time to arrive at the rescue site by 50% without the red light running, from the past 15 minutes to 7 and 8 minutes now.
Medical care
With regard to the application of artificial intelligence in the medical category, a case of a medical image is presented here.
Do you understand thyroid nodules? on