Ali Dharma Academy released the top ten technology trends of 2020-sunwoele

2020 is such a sci-fi year, stepping into 2020, it seems like returning to a long-lost future. The new decade of technological wave begins, and the long-established intelligent revolution will usher in disruptive technological changes. Dharma Academy today released the top ten technological trends of 2020, hoping to witness the long-awaited or unexpected changes with you, and follow the technological evolution curve to find our source and destination.

Trend 1: Artificial intelligence evolves from perceptual intelligence to cognitive intelligence

????[Trend summary] Artificial intelligence has reached or surpassed human standards in the perceptual intelligence fields such as "listening, speaking, and seeing", but it is still in its infancy in the field of cognitive intelligence that requires external knowledge, logical reasoning, or domain migration. Cognitive intelligence will draw inspiration from cognitive psychology, brain science, and human social history, and combine cross-domain knowledge maps, causal reasoning, continuous learning and other technologies to establish an effective mechanism for stable acquisition and expression of knowledge, so that knowledge can be used by machines Understanding and application will realize the key breakthrough from perceptual intelligence to cognitive intelligence.

Trend 2: Integration of computing and storage breaks the bottleneck of AI computing power

????[Trend Summary] The separation of storage and computing in the von Neumann architecture is no longer suitable for data-driven artificial intelligence applications. The computing power bottleneck and power consumption bottleneck caused by frequent data handling have become the limiting factors for the exploration of more advanced algorithms. The in-memory computing architecture similar to the brain nerve structure integrates the data storage unit and the computing unit, which can significantly reduce data handling and greatly improve computing parallelism and energy efficiency. The innovation of computing and storage integration in hardware architecture will break the bottleneck of AI computing power.

Trend 3: Hyper-convergence of the Industrial Internet

????[Trend Summary] The rapid development of 5G, IoT devices, cloud computing, and edge computing will promote the hyper-convergence of the industrial Internet and realize the intelligent integration of industrial control systems, communication systems, and information systems. Manufacturing enterprises will realize equipment automation, transportation automation and production scheduling automation, and then realize flexible manufacturing. At the same time, the upstream and downstream manufacturing lines of the factory can be adjusted and coordinated in real time. This will greatly improve the production efficiency of the factory and the profitability of the enterprise. For industrial industries with an output value of tens of trillions or even hundreds of billions, an increase in efficiency of 5%-10% will generate trillions of yuan in value.

Trend 4: Large-scale collaboration between machines becomes possible

????[Trend Summary] Traditional single intelligence cannot satisfy the real-time perception and decision-making of large-scale smart devices. The development of collaborative sensing technology of the Internet of Things and 5G communication technology will realize the collaboration between multiple agents-machines cooperate with each other and compete with each other to complete target tasks. The group intelligence brought about by multi-agent collaboration will further amplify the value of intelligent systems: large-scale intelligent traffic light dispatching will realize dynamic real-time adjustment, warehouse robots will cooperate to complete efficient cooperation in cargo sorting, and unmanned vehicles can perceive global road conditions. UAV collaboration will efficiently open up* the delivery within one kilometer.

Trend 5: Modularization reduces the threshold of chip design

????[Trend Summary] The traditional chip design model cannot efficiently respond to the rapid iteration, customization and fragmentation of chip requirements. The open instruction set represented by RISC-V and its corresponding open source SoC chip design, high-level abstract hardware description language and IP-based templated chip design method promote the rapid development of chip agile design method and open source chip ecology. In addition, the modular design method based on chiplet uses advanced packaging methods to package different functional "chip modules" together, which can skip tape out and quickly customize a chip that meets application requirements, further speeding up the delivery of the chip. .

Trend 6: Large-scale production-level blockchain applications will enter the masses

????[Trend summary] Blockchain BaaS (Blockchain as a Service) service will further lower the threshold for enterprises to apply blockchain technology, and hardware chips designed for blockchains such as terminal, cloud, and chain solidification core algorithms will also It came into being to realize the anchoring of assets in the physical world and assets on the chain, further expand the boundary of the Internet of Value, and realize the interconnection of tens of thousands of chains. In the future, a large number of innovative blockchain application scenarios and cross-industry and cross-ecological multi-dimensional collaboration will emerge, and large-scale production-level blockchain applications with a daily activity of more than tens of millions will enter the public.

Trend 7: Quantum computing has entered a critical period

????[Trend Summary] The battle for "quantum hegemony" in 2019 has made quantum computing once again the focus of world science and technology. The achievements of superconducting quantum computing chips have strengthened the industry's optimistic expectations for the superconducting route and the pace of large-scale quantum computing. In 2020, the field of quantum computing will experience a stage of further increase in investment, intensified competition, accelerated industrialization and richer ecology. As two* key technological milestones, fault-tolerant quantum computing and demonstrating practical quantum advantages will be a turning point in the practical application of quantum computing. In the next few years, it will be a very arduous task to truly achieve any of them, and quantum computing will enter a period of technological breakthrough.

Trend 8: New materials promote the innovation of semiconductor devices

????[Trend Summary] Under the dual pressure of the slowdown of Moore's Law and the explosion of computing power and storage demand, it is difficult for classical transistors based on silicon to maintain the continuous development of the semiconductor industry. Major semiconductor manufacturers have no tendency for chips below 3 nanometers. clear answer. New materials will realize brand-new logic, storage and interconnection concepts and devices through brand-new physical mechanisms, and promote the innovation of the semiconductor industry. For example, topological insulators and two-dimensional superconducting materials can realize lossless electron and spin transport, which can become the basis of new high-performance logic and interconnection devices; new magnetic materials and new resistive materials can bring high-performance magnetism Memory such as SOT-MRAM and resistive random access memory.

Trend 9: AI technology that protects data privacy will accelerate its implementation

????[Summary of Trends] Compliance costs generated by data circulation are getting higher and higher. The use of AI technology to protect data privacy is becoming a new technology hotspot. It can ensure data security and privacy of all parties, and at the same time, joint users to achieve specific calculations, solve the problems of data islands and low credibility of data sharing, and realize the value of data .

Trend 10: Cloud becomes the center of IT technology innovation

????[Trend Summary] With the in-depth development of cloud technology, cloud has far exceeded the scope of IT infrastructure, and has gradually evolved into the center of all IT technology innovation. The cloud has penetrated the entire IT technology link of new chips, new databases, self-driving and adaptive networks, big data, AI, Internet of Things, blockchain, and quantum computing. At the same time, it has derived serverless computing, cloud-native software architecture, and software. With new technology models such as hard integrated design and intelligent automated operation and maintenance, the cloud is redefining everything about IT. Broadly speaking, the cloud is constantly turning new IT technologies into services within reach and becoming the infrastructure of the entire digital economy.