OCR computing power
Publish: 2021-04-15 18:46:31
1. Altay currency (ATC) I think it's a better investment opportunity to intervene now, because it's in the early stage, it's easier to dig, and the prospect is better! The return is high
2.
At present, Huawei has released atlas, MDC procts and cloud services based on shengteng 310. At present, MDC has cooperated with mainstream car manufacturers at home and abroad in park buses, new energy vehicles, automatic driving and other scenarios. Huawei's cloud image analysis service, OCR service, video analysis service and more than 50 APIs have all been based on shengteng 310 service, with an average daily adjustment amount of more than 100 million times, which is growing rapidly. It is expected that the average daily adjustment amount will exceed 300 million times by the end of the year
with the application of shengteng 310 and 910 chips and the improvement of mindspre framework, Xu Zhijun said that all the important components of Huawei's full stack and full scene AI solution have appeared. In other words, the foundation of Huawei's AI strategy has been completed
3. Smart home integrates IOT, artificial intelligence, edge computing and other information technologies, and has graally transitioned from the instry concept stage to reform and implementation. According to the analysis and prediction of markets and markets, globally, the scale of smart home market will reach US $122 billion in 2022, and the average annual growth rate from 2016 to 2022 is estimated to be 14%
on the one hand, the further combination of AI technology and home life application has promoted the rapid development of many instry benchmark enterprises, such as Xiaomi, network and other companies; On the other hand, in a strict sense, the classification of smart home procts covers household appliances, entertainment, energy heating, kitchen supplies, safety and health, etc. as the development center of the global smart home market, China's pursuit of quality of life and home proct experience will continue to increase. Therefore, in the future, it will not only be the upgrade of intelligent procts such as air conditioning and television, but also artificial intelligence as the technical support will further drive the systematic application of whole house intelligence and smart community, which will be closer to people's life<
2020082809542286.001. PNG
fine scene data has become the core demand
because smart home mostly takes houses, residences and communities as carriers, application scenarios are relatively more centralized and deterministic. For example, intelligent speaker procts such as Xiaoai speaker, users can have multiple rounds of dialogue with them, and at the same time can issue voice command control to them, so as to realize the operation of ordering songs and checking the weather. In such "small scenes", the degree of data refinement and customization determines how "humanized" the algorithm is. And reflected in the use of the proct, it can not only avoid the wrong answer of voice assistant, but also improve the efficiency of interaction between multiple devices in the home. Cloud measurement data is rooted in the field of AI data service. In the process of serving many enterprises in the smart home instry, it has accumulated rich experience in data collection, which is close to the real scene, and can help enterprises obtain refined and high-quality AI data
behind the common household procts such as speaker, TV and access control, the collaborative upgrading of operating system, perception control and content ecology will make the consumer procts more diversified and mature. Relying on the common intelligent procts such as TV, speaker and sweeper robot, we need to continuously mine and extend the scene in the future, generate more "small scene" data and label them, so as to train the algorithm and make it more "smart". Cloud measurement data has sufficient resources, which can restore and build application scenarios to the greatest extent, and provide customized collection of voice and visual data for enterprises. For example, in the process of collecting cloud measurement data, professional software / hardware equipment will be used to meet the customer's environmental lighting requirements; If customers need pure audio data, cloud test data will build a recording studio to meet the demand of customized collection such as reverberation or high background noise, and finally record with professional equipment such as microphone array
2020082809542286.002. PNG
high quality labeled data is the only way for the instry to mature
2020 is regarded as the first year of 5g. With the efforts of the government, enterprises and other parties, 5g infrastructure and Internet of things technology will be further accelerated, and the smart home instry will also get rapid development. According to the research of iResearch, the sales of smart speakers in China will be on a straight-line upward trend from 2017 to 2020, and it is expected to reach 11.8 billion yuan in 2020. Before the consumer demand is fully stimulated, algorithm service providers, sensor manufacturers and other enterprises in the instry chain will pay more attention to AI data and enhance their proct competitiveness
in the smart home instry, artificial intelligence mainly solves the problems of machine in seeing, listening and understanding, so the ability of speech recognition and natural language processing has become a must for strategists. Data annotation runs through the exploration period and commercial landing stage of artificial intelligence procts. Cloud measurement data focuses on solving enterprise AI data problems, providing high-quality and high-precision annotation data. In the aspect of speech, it supports ASR speech transcription, voiceprint recognition and annotation, speaker recognition, speech cutting, emotion judgment and annotation, etc; In the aspect of natural language processing, it supports OCR transcription, NLU sentence generalization, text information extraction, entity annotation, part of speech annotation, slot filling and so on. At the same time, the data annotation platform with independent intellectual property rights has the characteristics of flexibility, efficiency and intelligence, which helps the annotation personnel to improve efficiency and rece burden. While ensuring the security of data privacy, it also supports the platform's private deployment and labeling of personnel resident services, which can ensure the data security to the greatest extent
as the smart home instry matures, the importance of high-quality AI data becomes more and more prominent, and data, algorithm and computing power, as the three elements of AI, will be further integrated and developed to proce more intelligent and better experience home procts
statement: the purpose of reprinting this article on our website is to convey more information, but it does not mean that we agree with its views and are responsible for its authenticity. If the content, right and other issues are involved, please contact our website within 30 days. We will delete the content at the first time. Our website has the final right to interpret this statement.
on the one hand, the further combination of AI technology and home life application has promoted the rapid development of many instry benchmark enterprises, such as Xiaomi, network and other companies; On the other hand, in a strict sense, the classification of smart home procts covers household appliances, entertainment, energy heating, kitchen supplies, safety and health, etc. as the development center of the global smart home market, China's pursuit of quality of life and home proct experience will continue to increase. Therefore, in the future, it will not only be the upgrade of intelligent procts such as air conditioning and television, but also artificial intelligence as the technical support will further drive the systematic application of whole house intelligence and smart community, which will be closer to people's life<
2020082809542286.001. PNG
fine scene data has become the core demand
because smart home mostly takes houses, residences and communities as carriers, application scenarios are relatively more centralized and deterministic. For example, intelligent speaker procts such as Xiaoai speaker, users can have multiple rounds of dialogue with them, and at the same time can issue voice command control to them, so as to realize the operation of ordering songs and checking the weather. In such "small scenes", the degree of data refinement and customization determines how "humanized" the algorithm is. And reflected in the use of the proct, it can not only avoid the wrong answer of voice assistant, but also improve the efficiency of interaction between multiple devices in the home. Cloud measurement data is rooted in the field of AI data service. In the process of serving many enterprises in the smart home instry, it has accumulated rich experience in data collection, which is close to the real scene, and can help enterprises obtain refined and high-quality AI data
behind the common household procts such as speaker, TV and access control, the collaborative upgrading of operating system, perception control and content ecology will make the consumer procts more diversified and mature. Relying on the common intelligent procts such as TV, speaker and sweeper robot, we need to continuously mine and extend the scene in the future, generate more "small scene" data and label them, so as to train the algorithm and make it more "smart". Cloud measurement data has sufficient resources, which can restore and build application scenarios to the greatest extent, and provide customized collection of voice and visual data for enterprises. For example, in the process of collecting cloud measurement data, professional software / hardware equipment will be used to meet the customer's environmental lighting requirements; If customers need pure audio data, cloud test data will build a recording studio to meet the demand of customized collection such as reverberation or high background noise, and finally record with professional equipment such as microphone array
2020082809542286.002. PNG
high quality labeled data is the only way for the instry to mature
2020 is regarded as the first year of 5g. With the efforts of the government, enterprises and other parties, 5g infrastructure and Internet of things technology will be further accelerated, and the smart home instry will also get rapid development. According to the research of iResearch, the sales of smart speakers in China will be on a straight-line upward trend from 2017 to 2020, and it is expected to reach 11.8 billion yuan in 2020. Before the consumer demand is fully stimulated, algorithm service providers, sensor manufacturers and other enterprises in the instry chain will pay more attention to AI data and enhance their proct competitiveness
in the smart home instry, artificial intelligence mainly solves the problems of machine in seeing, listening and understanding, so the ability of speech recognition and natural language processing has become a must for strategists. Data annotation runs through the exploration period and commercial landing stage of artificial intelligence procts. Cloud measurement data focuses on solving enterprise AI data problems, providing high-quality and high-precision annotation data. In the aspect of speech, it supports ASR speech transcription, voiceprint recognition and annotation, speaker recognition, speech cutting, emotion judgment and annotation, etc; In the aspect of natural language processing, it supports OCR transcription, NLU sentence generalization, text information extraction, entity annotation, part of speech annotation, slot filling and so on. At the same time, the data annotation platform with independent intellectual property rights has the characteristics of flexibility, efficiency and intelligence, which helps the annotation personnel to improve efficiency and rece burden. While ensuring the security of data privacy, it also supports the platform's private deployment and labeling of personnel resident services, which can ensure the data security to the greatest extent
as the smart home instry matures, the importance of high-quality AI data becomes more and more prominent, and data, algorithm and computing power, as the three elements of AI, will be further integrated and developed to proce more intelligent and better experience home procts
statement: the purpose of reprinting this article on our website is to convey more information, but it does not mean that we agree with its views and are responsible for its authenticity. If the content, right and other issues are involved, please contact our website within 30 days. We will delete the content at the first time. Our website has the final right to interpret this statement.
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