Shulou(Shulou.com)06/02 Report--

Recently, Baidu Research Institute released a report on the trend forecast of artificial intelligence technology in 2020, which describes the main development trends of AI in 2020 from ten angles.

The following is a detailed interpretation of the top 10 predicted trends:

Trend 1: AI technology has developed to the stage of large-scale industrialization, and there will be a number of AI plants in 2020.

AI technology and all kinds of commercial solutions have become more and more mature and have rapidly entered the industrialization stage. With the continuous investment of global technology giants in AI technology, by 2020, there will be a number of artificial intelligence models and data factories around the world, thus promoting artificial intelligence technology and related business solution update industry on a large scale. For example, the AI solution of the customer service industry can be replicated and applied to finance, e-commerce, education and many other industries on a large scale.

(original text in English, the same below: The increasingly mature AI technology and all types of associated business solutions are rapidly entering the stage of "industrialization". With the continuous investment global technology giants pumped into AI technology, there will be many factories of AI models and data emerging in 2020, facilitating AI technology and associated commercial solutions on a large scale to update industries. For example, AI solutions in the customer service industry can be copied and applied to finance, e-commerce, education and other industries on a large scale. )

Trend 2: 2020 will be the key year for the landing of AI chips.

In recent years, AI chips have gradually reached the state of availability, and 2020 will be the key year for large-scale application of AI chips. End-side AI chips will be more low-cost, professional and integrated solutions. At the same time, the neural network processing unit (NPU) will become the basic module of the next generation of end-side general-purpose CPU chips. In the future, more and more end-side CPU chips will take deep learning as the core for new chip planning. In addition to chips, AI will also redefine computer architecture, support artificial intelligence training and reasoning, and become a new idea of heterogeneous design architecture.

(In recent years, AI chips have gradually reached a usable state, and 2020 will be a critical year for the large-scale implementation of AI chips. AI chips on the edge will be more low-cost, specialized and seamlessly integrated into downstream solutions. At the same time, the neural processing unit (NPU) will become the basic module of the next-generation edge-based general-purpose CPU chips. In the future, more and more device-based CPU chips will integrate deep learning framework as the core to their designs. In addition to chips, AI will redefine the computer architecture and support AI training and inference as a new idea of heterogeneous design architecture. )

Trend 3: deep learning, deep penetration of the industry, and large-scale application

Deep learning is the most important and effective technology in the field of artificial intelligence. The open source deep learning platform with deep learning framework as the core greatly reduces the development threshold of artificial intelligence technology and effectively improves the quality and efficiency of artificial intelligence applications. In 2020, deep learning will be applied to many industries on a large scale to implement innovation and speed up transformation and upgrading.

(Deep learning is the most important and effective technology in the field of artificial intelligence. At the core of open-sourced deep learning platforms is the deep learning framework, which greatly lowers the development threshold of AI technology, and effectively improves the quality and efficiency of AI applications. In 2020, deep learning will be applied across many industries at scale to implement innovation and accelerate transformation and upgrading. )

Trend 4: AutoML will greatly lower the threshold of machine learning

The rapid development of AutoML will greatly reduce the threshold of machine learning and expand the popularity of AI applications. AutoML will be able to integrate the iterative processes of traditional machine learning to build an automated process. Researchers only need to input meta-knowledge (such as convolution operation, problem description, etc.), the algorithm can automatically select appropriate data, optimize model structure and configuration, automatically train the model, and deploy it to different devices.

(AutoML will be able to integrate the iterative process in traditional machine learning and build an automatic process. Researchers only need to input meta-knowledge (such as convolution operations, problem descriptions, etc.), the algorithm can automatically select the appropriate data, optimize the model structure and configuration, train the model, and deploy it on different devices. The rapid development of AutoML will greatly lower the threshold of machine learning and increase the popularity of AI applications. )

Trend 5: multimodal deep semantic understanding is more mature and more widely used

Multi-modal deep semantic understanding takes different modal information such as sound, image, text and so on as input, integrates perception and cognitive technology, and realizes multi-dimensional deep understanding of information. With the rapid development and large-scale application of technologies such as computational vision, speech, natural language understanding and knowledge graph, multimodal deep semantic understanding is gradually mature, and the application scene is broader. Combined with AI chip, it will be widely used in smart home, finance, security, education, medical and other industries.

(Multimodal deep semantic understanding takes the information of different models such as voice, image, and text as input, and integrates perception and cognition technologies to achieve a multi-dimensional deep understanding of information. With the rapid development and large-scale application of computing vision, speech, natural language understanding, and knowledge graph, multimodal deep semantic understanding is gradually mature, which leads to a broader application scenario. Combined with AI chips, it will be widely used smart home, finance, security, education, healthcare, and other industries. )

Trend 6: natural language processing technology will be deeply integrated with knowledge, and computing platforms for general natural language understanding will be widely used.

With the emergence and development of large-scale language model pre-training technology, the general natural language comprehension ability has been greatly improved. The semantic representation preprocessing technology based on massive text data will be deeply integrated with domain knowledge to improve the effectiveness of natural language processing tasks such as automatic question answering, emotional analysis, reading comprehension, reasoning, information extraction and so on. The general natural language understanding computing platform which integrates super-large-scale computing power, rich domain data, pre-training models and perfect R & D tools will gradually mature and will be widely used in the Internet, medical, legal, financial and other fields.

(With the emergence and development of pre-training large-scale language model, the technology of general natural language understanding has been greatly improved. Semantic representation pre-training technology based on massive text data will be deeply integrated with domain knowledge to continuously improve the effectiveness of natural language processing tasks such as automatic question answering, emotional analysis, reading comprehension, reasoning, information extraction, etc. The general natural language understanding the computing platform, which integrates large-scale computing power, rich domain data, pre-training model and improved rotated tools, will be gradually improved and widely used in the internet, healthcare, legal, financial and other fields. )

Trend 7: the Internet of things will make breakthroughs in three areas: boundaries, dimensions and scenarios.

With the development of 5G and edge computing, computing power will no longer be limited to the cloud computing center, but will spread to everything, resulting in a pan-distributed computing platform. At the same time, the insight into the two most important dimensions of the physical world, time and space, will become the basic capability of the new generation of Internet of things platform. This will also promote the integration of animal networking with more scenarios such as energy, power, industry, logistics, medical care, smart cities, and so on, to create greater value.

(With the development of 5G and edge computing, computing power will not be limited to cloud computing centers, expanding to everything and building a distributed computing platform. At the same time, the insight into time and space, the two most important dimensions of the physical world, will become the basic capabilities of the new-generation IoT platforms. This will promote the integration of IoT with more scenarios such as energy, power, industry, logistics, medical treatment, and intelligent city, and create greater value.)

Trend 8: intelligent transportation will accelerate landing in diverse scenarios such as parks and cities.

The development of self-driving is becoming more rational, and the market will have more confidence in the development of intelligent driving in the next few years. In 2020, self-driving cars will be used in different scenarios such as logistics express delivery, public transport, closed roads and so on. At the same time, V2X (vehicle to everything) technology starts large-scale deployment and application, which makes vehicles and roads form a wide relationship, which further promotes the realization of intelligent vehicle-road collaboration technology, and intelligent transportation accelerates landing in park, city, highway and other diversified scenarios.

(The development of autonomous vehicles is becoming more rational, and the market will be more confident in the development of intelligent driving in the next few years. In 2020, more autonomous vehicles will be applied to different scenarios such as logistics, public transport, geofenced areas and so on. At the same time, V2X (vehicle to everything) technology is ready for large-scale deployment and application, which makes vehicles and roads form a wide range of connections, further promoting the realization of Intelligent Vehicle Infrastructure Cooperative Systems (IVICS), and accelerating the implementation of intelligent transportation in parks, cities, expressways and other scenarios. )

Trend 9: blockchain technology will be integrated into more scenarios in a more pragmatic manner

With the deep integration of blockchain technology with artificial intelligence, big data, Internet of things and edge computing, the problem of online and offline mapping of data and assets will be solved one by one. The solutions built around blockchain, such as data rights determination, data use, data circulation and exchange, will play a great role in various industries. For example, in the field of e-commerce, the authenticity of the whole process data of goods can be guaranteed; in the field of supply chain, the openness and transparency of the whole process data and the secure exchange between enterprises can be guaranteed; in the field of government affairs, the connection of government data and the realization of e-Cert can be realized.

(With the in-depth integration of blockchain technology with AI, big data, IoT and edge computing, the problems concerning the online and offline mapping of data and assets will be solved one by one. Solutions such as data authorization, data use, data circulation and exchange built around blockchain will play a huge role among people from all walks of life. For example, in e-commerce, blockchain can ensure the authenticity of the whole process data of goods; in supply chain, it can ensure the openness and transparency of the whole process data, as well as the safe exchange between enterprises; in government affairs, it can achieve the opening of government data, the realization of electronic certificates and so on. )

Trend 10: quantum computing will usher in a new round of explosion, injecting new vitality into AI and cloud computing

With the successful demonstration of quantum hegemony, quantum computing will usher in a new round of explosion in 2020. In terms of quantum hardware, the performance of programmable medium-sized noisy quantum devices will be further improved and have the ability to correct errors. The quantum algorithm with certain practical value will be able to run on it, and the application of quantum artificial intelligence will be greatly developed.

In terms of quantum software, high-quality quantum computing platforms and software will appear and deeply integrate with AI and cloud computing technology. In addition, with the initial formation of quantum computing ecological industry chain, quantum computing will receive more attention in more application fields. More and more industry giants have invested in R & D resources for strategic layout, which will bring a new look to the future artificial intelligence and cloud computing field.

(With the successful demonstration of quantum hegemony, quantum computing will usher in a new round of explosive growth in 2020. In terms of quantum hardware, the performance of programmable medium-sized noisy quantum devices will be further improved and have the ability of error correction. Quantum algorithms with certain practical value will be able to run on them, and the application of quantum artificial intelligence will be greatly developed. In terms of quantum software, high-quality quantum computing platforms and software will emerge and be deeply integrated with AI and cloud computing technologies. In addition, with the emergence of the quantum computing industry chain, quantum computing will surely garner more attention in more application fields. More and more industry giants have invested in rotated resources for strategic layout, which has the opportunity to bring a new face to the future AI and cloud computing fields. )

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