Shulou(Shulou.com)11/24 Report--

On January 11, Dharma Institute 2023 Top Ten Science and Technology Trends were released, and technologies such as generative AI, Chiplet modular design package and brand-new cloud computing architecture were selected. Dharma Institute believes that global science and technology are increasingly showing a new trend of cross-integration and development, especially in the field of information and communication technology (ICT) brewing new fission, which will inject impetus into the innovation of science and technology industry.

Disruptive technological breakthroughs may come only once in a century, while continuous iterative innovation changes daily life by an inch. Entering 2023, Dharma Institute predicts that the integration and innovation based on technology iteration and industrial application will drive AI, cloud computing, chips and other fields to achieve phased transition.

AI is accelerating toward general artificial intelligence. Multi-modal pre-trained large models will realize unified knowledge representation of images, text, audio, etc., and become artificial intelligence infrastructure; generative AI will usher in an explosion of applications, greatly promoting the production and creation of digital content. Decades after the birth of artificial intelligence, human imagination of "general AI" has never been so specific.

Cloud computing has always been the technological innovation center of the digital age: predictable network technologies based on cloud definition will move from local applications in data centers to full-network promotion; cloud-native security technologies born of cloud will promote the formation of platform-based and intelligent new security systems; Cloud is also redefining computing architecture, from CPU-centric traditional architecture to Cloud Infrastructure Processor (CIPU)-centric brand-new architecture evolution. In the future, the integration of software and hardware defined by cloud will realize deep integration at system level.

The chip field seeks to break through under the attack of soaring computing power demand and slowing Moore's Law. Dharma Institute predicts that there will be great progress in storage and calculation integration and Chiplet modular design packaging: memory computing based on mature memories such as SRAM and NOR Flash is expected to realize large-scale commercial use in smart homes, wearable devices and other scenarios; the gradual unification of Chiplet interconnection standards will reconstruct the chip R & D process.

The iterative evolution of basic technologies will certainly give birth to new scenarios and new industries. The most promising trends this year are computational optical imaging, digital twin cities, dual-engine intelligent decision-making, etc.

Computational optical imaging technology is expected to break through the physical limits of traditional optics and help human beings touch things that have never been seen before; smart cities have completed comprehensive breakthroughs in key technologies such as accurate mapping, generation rendering, simulation deduction, etc., and will evolve from single scenes to large-scale urban digital twins, assisting human beings to understand and manage cities more "omnisciently"; The intelligent decision-making system realizes the joint drive of operation optimization and machine learning, and will provide more valuable optimization answers for human beings in complex problems such as real-time changes in power grid scheduling, port throughput management, airport downtime scheduling, etc.

It is reported that the top ten scientific and technological trends of Dharma Institute 2023 adopt the research idea of "Pasteur Quadrant." Based on the big data "quantitative divergence" of papers and patents, nearly 100 experts in the fields of production, learning, research and application are interviewed in depth for "qualitative convergence," and then comprehensively evaluated from academic innovation, technological breakthrough, industrial landing, market demand and other dimensions, striving to "achieve the vast and subtle," and finally selecting the top ten trends.

Attachment: Dharma Institute 2023 Top Ten Technology Trends

https://damo.alibaba.com/techtrends/2023

Multi-modal pre-trained large model: Multi-modal pre-trained large model will realize unified knowledge representation of graphics, text and sound, and become artificial intelligence infrastructure.

Chiplet modular design package: Chiplet interconnection standards will be gradually unified, restructuring chip development process.

Storage and calculation integration: capital and industry two-wheel drive, storage and calculation integrated chip will usher in large-scale commercial use in vertical subdivision field.

Cloud native security: security technology is closely integrated with cloud to create a new platform-based and intelligent security system.

Cloud computing architecture with soft and hard integration: Cloud computing is deeply evolving towards a new cloud computing architecture centered on CIPU. Through software definition and hardware acceleration, it brings comprehensive acceleration of cloud applications while maintaining high flexibility and agility of cloud application development.

Predictable network of network convergence: Predictable network technology based on cloud definition, which is about to move from local application of data center to whole network promotion.

Dual engine intelligent decision making: Dual engine intelligent decision making integrating operational optimization and machine learning will advance global dynamic resource allocation optimization.

Computational optical imaging: Computational optical imaging breaks the limits of traditional optical imaging and will lead to more creative and imaginative applications.

Large-scale urban digital twins: On the basis of large-scale trends, urban digital twins continue to evolve towards three-dimensional, unmanned and global directions.

Generative AI: Generative AI enters the application explosion period, which will greatly promote the production and creation of digital content.

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