Cloud Native Reshapes IT Technology System: Top 10 Tech Trends of Dharma Academy

Some months ago, Alibaba Dharma Academy released the top ten technology trends of the new year. Cloud Native Reshapes IT Technology System. This is the third annual technology trend released by Dharma Academy since its establishment three years ago.

This year is an extraordinary one. After experiencing the baptism of the COVID epidemic, many industries have restarted the upward spiral, but the epidemic has not stopped the advancement of science and technology. A series of major technological breakthroughs in quantum computing, basic materials, biomedicine and other fields are coming. , In the post-epidemic era, how the basic technology and technology industry will develop, Dharma Institute provides a new forecast for the technology industry.

Materials are the foundation of all scientific and technological development, and new materials technology has promoted multiple rounds of technological revolutions. However, due to problems such as high costs and immature production processes, many new materials have failed to achieve large-scale applications.

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Dharma Institute believes that in the next few years, the third-generation semiconductor materials represented by gallium nitride and silicon carbide will achieve breakthroughs in material growth, device preparation and other technologies, and apply them to 5G base stations, new energy vehicles, UHV, New infrastructure scenarios such as data centers have greatly reduced overall energy consumption.

The value of new materials is far more than just providing better performance. It can also break through the physical limits of traditional materials. The DAMO Academy predicts that carbon-based materials, as the core materials for making flexible equipment, will go out of the laboratory and prepare flexible, flexible, flexible devices. Electronic devices, such as electronic skin made of this material, not only have mechanical properties similar to real skin, but also have the ability to perceive the external environment.


In the past few years, AI technology has penetrated into traditional industries silently. For example, AI has entered manufacturing companies to improve the efficiency of quality inspection. Dharma Institute believes that the application of AI in production is just the beginning. Industries with good information technology such as automobiles, consumer electronics, clothing, steel, and chemical industries will realize global intelligence in all aspects of supply chain, production, assets, logistics, and sales. Achieve a substantial increase in production and operational efficiency.

In the medical field, the industry recognizes that the combination of AI and drug and vaccine research and development is the general trend, but the use of AI to develop drugs and successfully market them is extremely rare. The Dharma Institute pointed out that the iteration of new AI algorithms and breakthroughs in computing power will solve problems such as the confirmation of drug molecular targets and the drugability of drugs. For example, in the process of vaccine development, AI can automatically input effective compound models and generate them with computer synthesis programs. Hundreds of millions of different chemical compounds were compared and screened to quickly find high-quality candidate compounds for vaccines.

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As the future technology of human-computer interaction and human-computer hybrid intelligence, brain-computer interfaces have great research value in the medical field. The Dharma Academy pointed out in the trend that the academic and industrial circles are working hard to overcome the problems of brain signal acquisition and processing, and help humans better understand the working principles of the brain. The maturity of technology will accelerate the clinical application of brain-computer interfaces. Provide precise rehabilitation services for patients who cannot speak or move their hands.


The development of science and technology always jumps in a pattern of constant divergence and convergence. Last year, Dharma Academy predicted that “cloud will become the innovation center of IT technology.” After a year, cloud native has become a new variable in the field of cloud computing. Dharma Academy proposed that chips, development platforms, application software and even computers will be Born on the cloud, technologies such as AI, 5G, and blockchain will all be implemented in a cloud-native manner, and the path for enterprises to obtain IT services is once again shortened.

Innovation never ends, but every technological innovation must follow the established trajectory of inclusiveness. Dharma Institute believes that digital technologies such as AI, 5G, cloud computing, and IoT are undergoing unprecedented chemical reactions, which will lead to a new round of changes in agriculture and even cities. In the agricultural field, automatic monitoring of crops, refined breeding, and traceability of agricultural products logistics and transportation will all become a reality; cities will have a super brain that will comprehensively improve perception, communication, and decision-making capabilities, and provide cities with overall governance capabilities.

Attachment: Top 10 Tech Trends of Dharma Academy

Trend 1: The third-generation semiconductors represented by gallium nitride and silicon carbide usher in a major explosion of applications

The third-generation semiconductors represented by gallium nitride (GaN) and silicon carbide (SiC) have excellent characteristics such as high temperature resistance, high voltage resistance, high frequency, high power, and radiation resistance, but are limited by factors such as process and cost. It is limited to small-scale applications.

In recent years, with continuous breakthroughs in material growth and device preparation technologies, the cost-effective advantages of third-generation semiconductors have gradually emerged and the application market is opening up: SiC components have been used in automotive inverters, and GaN fast chargers have also been launched in large numbers.

In the next five years, electronic devices based on third-generation semiconductor materials will be widely used in scenarios such as 5G base stations, new energy vehicles, UHV, and data centers.

Trend 2: In the post-“quantum hegemony” era, quantum error correction and practical advantages become core propositions.

Last 2 years ago was the first year of post-“quantum hegemony”. The world’s investment in quantum computing continues to rise, technology and ecology are booming, and multiple platforms are colorful . This trend will continue to push up the attention and expectations of the society this year.

The research of quantum computing needs to prove its practical value; the industry needs to focus on the mission of the “post-hegemony” era: collaborative innovation to solve many scientific and engineering problems. Paving the way to reach the two milestones of quantum error correction and practical advantages as soon as possible.

Trend 3: Carbon-based technology breakthroughs accelerate the development of flexible electronics

Flexible electronics refers to electronic devices that retain their original performance after shape changes such as twisting, folding, and stretching, and can be used as wearable devices, electronic skins, flexible displays, etc. The main bottleneck for the development of flexible electronics lies in the material-the current flexible materials, or lack of “flexibility”, are prone to failure, or the electrical performance is far inferior to “hard” silicon-based electronics.

In recent years, technological breakthroughs in carbon-based materials have provided better material choices for flexible electronics: the quality of carbon nanotubes, a carbon-based flexible material, can meet the requirements of large-scale integrated circuits, and circuits prepared on this material The performance exceeds that of silicon-based circuits in the same size; and the large-area preparation of graphene, another carbon-based flexible material, has also been achieved.

Trend 4: AI improves the efficiency of drug and vaccine research and development

AI has been widely used in auxiliary diagnosis scenarios such as medical imaging and medical record management, but the application of AI in vaccine development and drug clinical research is still in the exploratory stage.

With the iteration of new AI algorithms and breakthroughs in computing power, AI will effectively solve the problems of long vaccine/drug development cycles and high costs, such as improved compound screening, disease model establishment, discovery of new targets, lead compound discovery, and lead drug optimization, etc.

The efficiency of the link. The combination of AI, vaccines, and drug clinical research can reduce duplication of labor and time consumption, improve research and development efficiency, and greatly promote the universalization of medical services and drugs.

Trend 5: Brain-computer interfaces help humans exceed biological limits

First, the brain-computer interface is the key core technology of the new generation of human-computer interaction and human-computer hybrid intelligence. Secondly, the brain-computer interface has played an important role in supporting and promoting the development of neural engineering. This helps humans to further analyze the working principles of the human brain from a higher dimensional space.

Thirdly, the brain-computer interface, a new technical field, explores the communication between the brain and external devices, and controls the machine through mental ideas. For example, to help improve the accuracy of the application in the control of the robotic arm, it will provide accurate rehabilitation services for patients who are conscious and sound, but cannot speak or move their hands.

Trend 6: Data processing realizes “autonomy and self-evolution”

With the development of cloud computing and the continuous exponential growth of data scale, traditional data processing faces huge challenges such as high storage costs, complex cluster management, and diversified computing tasks. Facing the massive increase in data scale and complex and diverse processing scenarios, manual Management and system tuning are in short supply.

Therefore, the automatic optimization of data management systems through intelligent methods has become an inevitable choice for future data processing development.

Artificial intelligence and machine learning methods are gradually being widely used in intelligent cold and hot data layering. Also, anomaly detection, intelligent modeling, resource mobilization, parameter tuning, pressure test generation, index recommendation and other fields, effectively reducing data calculation, processing. The management cost of storage and operation and maintenance realizes the “autonomy and self-evolution” of the data management system.

Trend 7: Cloud native reshapes the IT technology system.

In the traditional IT development environment, the product development cycle is long and the research and development efficiency is not high. The cloud native architecture makes full use of the distributed, scalable and flexible features of cloud computing to make it more efficient.

Applying and managing various cloud computing resources in heterogeneous hardware and environments, through methodological toolsets, best practices and product technologies, developers can focus on the application development process itself.

In the future, chips, development platforms, application software and even computers will be born on the cloud, which can highly abstract the network, server, operating system and other infrastructure layers, reduce computing costs, improve iteration efficiency, and greatly reduce the threshold and expansion of cloud computing. Technology application boundary.

Trend 8: Agriculture enters the era of data intelligence

The development of traditional agricultural industry has bottlenecks such as low utilization rate of land resources and disconnected links from production to retail. Science and technology represented by the Internet of Things, artificial intelligence, cloud computing, etc. are deeply integrated with the agricultural industry to open up the entire chain process of the agricultural industry.

Combined with a new generation of sensor technology, farmland ground data information can be obtained and sensed in real time, and relying on big data analysis and artificial intelligence technology to quickly process massive agricultural data in the field, to achieve crop monitoring, refined breeding and on-demand allocation of environmental resources.

At the same time, through the application of 5G, Internet of Things, blockchain and other technologies, the controllability and traceability of agricultural product logistics and transportation are ensured to ensure the safety and reliability of the overall agricultural product supply chain process. Agriculture will bid farewell to “rely on the sky” and enter the era of smart agriculture.

Trend 9: Industrial Internet moves from single point intelligence to global intelligence

Constrained by factors such as high implementation cost and complexity, difficulty in accessing supply-side data, and insufficient overall ecology, current industrial intelligence still focuses on solving fragmented needs. The resilience demonstrated by the digital economy in the epidemic has made companies pay more attention to the value of industrial intelligence.

Together with the advancement and popularization of digital technology and the investment in new infrastructure. These factors will jointly promote the rapid transition of industrial intelligence from single point intelligence to global intelligence, especially Automobiles, consumer electronics, branded apparel, steel, cement, chemical and other manufacturing industries. With a good information foundation, and the closed-loop global intelligent application of enterprise production decision-making throughout the supply chain, production, assets, logistics, and sales. Emerging on a large scale.

Trend 10: Smart operation centers become standard in future cities

In the past 10 years, smart cities have effectively improved the level of urban governance through digital means. However, in the prevention and control of the new crown epidemic, some so-called smart cities have concentrated on exposed problems, especially due to insufficient business applications caused by “emphasis on construction and light operation”.

Terms related to cloud native

  • what is cloud-native architecture
  • Best cloud-native reference architecture
  • Download cloud-native applications
  • cloud native computing foundation
  • cloud-native technologies list
  • Full cloud native wiki
  • List of cloud-native examples
  • Top cloud-native applications in java

In this context, city managers hope to activate data resources through the operation center, and promote the globalization, refinement and real-time of governance and services. The gradual maturity and popularity of AIoT technology and the advancement of spatial computing technology will further enhance the intelligence level of the operation center. Finally, & based on the digital twin, the city will be used as a unified system and provide overall smart governance capabilities, thereby becoming the digital infrastructure of the future city .

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