In the last year, integration has sped up of multiple emerging technologies. The threshold of Artificial Intelligence lowering by its continued development. And by industry intelligence-led down the fourth industrial revolution. The following prediction describes the top 10 major trends of technology. These are:
Trend 1:
This year many AI factories and the technology of AI will be industrialized with production on a large scale.
AI technology matures increasingly and all its types with the business solutions associated, entering rapidly in the stage of industrialization. The giants of global technology with continuous investment pumped the technology of AI. So in 2020 year, many models of AI factories and data emerging. AI technology facilitating and with commercial solutions associated that update industries on a large scale. other industries like cheap essay writing services are also using AI to make their service faster.
Trend 2:
For the AI chips implementation on a large scale, a critical year will be 2020.
A few years ago, AI chips gradually reached a usable state. On edge AI chips will be more specialized, low-cost, integrated seamlessly into downwards solutions. CPU chips used for general-purpose and edge-based of next-generation so at the same time will become the NPU neural processing unit the basic module of these CPU chips. And in the future of next-generation, CPU chips device based will integrate more and more deep learning framework that will be the core of our designs. Additionally, computer architecture will redefine by AI chips, and also AI training will support by these chips. And a new idea will inference of diverse design architecture.
Trend 3:
In the industry will penetrate the technology of deep learning and will be applied on a large scale.
In the artificial intelligence field, the most effective and important technology is deep learning. At the core of deep learning, open-sourced platforms are the framework of deep learning. And the deep learning framework will greatly lower threshold development of technology of AI and improves the efficiency and quality of applications of AI effectively. In many industries, this year applied on large scale deep learning to innovation implement, upgrading, and accelerate transformation.
Trend 4:
Machine learning threshold will lower greatly by automatic machine learning.
In traditional machine learning, the iterative process integrates by automatic machine learning, and an automatic process will build. Through this process, only need researchers to input meta-knowledge and then automatically algorithm select the data that appropriate. And then, it optimizes the configuration and model structure, the model train, and on different devices deploy it. So not only the machine learning threshold lower by automatic machine learning but also the popularity increase of AI applications.
Trend 5:
More mature will become multimodal deep semantic understanding and used widely.
Different models information takes multimodal deep semantic understanding such as image, voice, text as input, and perception integrates and technologies cognition to achieve information of multi-dimensional deep understanding. Gradually mature the multimodal deep semantic understanding with computing large-scale vision applications, rapid development, understanding of natural language, speech, graph knowledge, and that leads to larger or broader scenario application.
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Trend 6:
Processing technology of natural language will be integrated deeply with computing and knowledge platforms for general natural language understanding that will be used widely.
With the development and emergence of the pre-training language model on a large scale and general natural language understanding, technology greatly has been improved. Pre-training of semantic representation based on wide or different text data. And the tasks of this processing technology such as emotional analysis, automatic question answering, reasoning, reading comprehension, information extraction, etc. With the computing platform, general natural language understanding will integrate the computing power on a large scale, pre-training model, rich domain data, and also R&D tools improved. This improved gradually and used widely on the internet, financial, legal, healthcare, and other fields.
Trend 7:
(IoT) the Internet of Things in three directions will breakthrough: scenario, dimension, boundary.
Everything to expanding and distributed platform of computing building. The insight into space and time at the same time. Of the physical world’s most important two dimensions, the basic capabilities will become for the IoT platform’s new-generation. IoT integration will promote with scenario more such as power, logistics, energy, industry, intelligent city, medical treatment, and greater value creation.
Trend 8:
Implementation of intelligent transportation will accelerate in different scenes such as cities and parks.
Autonomous vehicle development is becoming more logical. And more confidence will be in the market in the intelligent driving development in the next few years. In this year, autonomous vehicles applied more to various scenarios such as public transport, logistics, and so on. The technology of vehicles to everything at the same time is ready for deployment on a large-scale, which makes roads and vehicle connections on a large-scale. Moreover, promoting the (IVCS) Intelligent Vehicles Infrastructure Cooperative System and intelligent transportation implementation accelerating in parks, expressways, cities, and another scenario.
Trend 9:
Into more scenarios will be integrated Blockchain technology in a more pragmatic manner.
Another trend is Blockchain technology integration with in-depth IoT, big data, AI, and edge computing. With this integration concerning problems of offline and online mapping of assets and data will be solved one by one. Solutions such as data use, data authorization, exchange built, and data circulation around huge blockchain role will play in all walks of life among people.
Trend 10:
Explosive growth in a new round will usher quantum computing, new vitality injecting into cloud computing and AI.
In 2020 we saw the new invention of quantum computers. With practical values, quantum algorithms and quantum artificial intelligence applications greatly will be developed. According to quantum software terms, software and high-quality platforms of quantum computing will integrate and emerge deeply with cloud computing and AI technologies. Additionally, with the emergence of an industry chain with quantum computing, surely more attention will garner in more fields of applications. Industry giants are more and more invested in the resources of R&D for strategic layout, which will bring the opportunity of the future of cloud computing and AI fields.
These are the most important trends in technology for 2020-2021. These will change our world. In the next year technology indeed will introduce their next trends. But these remain one of the best trends in technology.
