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

CTOnews.com January 11 news, Ali Damo today released the top ten technology trends in 2023, generating AI, Chiplet modular design packaging, new cloud computing architecture and other technologies were selected.

Dharma said that the global technology is increasingly showing a new trend of cross-integration, especially in the field of information and communication technology (ICT), the new fission will inject impetus into the innovation of the science and technology industry.

CTOnews.com learned that Dharma predicts that in 2023, the integration of innovation based on technology iteration and industrial applications will drive a phased transition in areas such as AI, cloud computing and chips.

The top 10 technological trends of Dama House in 2023 are as follows:

Multi-modal pre-training model: the multi-modal pre-training model will realize the unified knowledge representation of picture, text and sound, and become the infrastructure of artificial intelligence.

Chiplet modular design package: the interconnection standard of Chiplet will be gradually unified and the chip research and development process will be reconstructed.

Integration of deposit and calculation: two-wheel drive of capital and industry, integrated chip of deposit and calculation will usher in large-scale commercial use in the field of vertical segmentation.

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

Integration of software and hardware cloud computing architecture: cloud computing is deeply evolving to a new cloud computing architecture centered on CIPU. Through software definition and hardware acceleration, it not only maintains the high elasticity and agility of cloud application development, but also brings comprehensive acceleration of cloud applications.

The predictable network of end-to-end network convergence: the predictable network technology based on cloud definition is about to be promoted from local application in data center to the whole network.

Twin-engine intelligent decision-making: dual-engine intelligent decision-making, which combines operational optimization and machine learning, will promote the optimization of global dynamic resource allocation.

Computational optical imaging: computational optical imaging breaks through 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 in the direction of three-dimensional, unmanned and global.

Generative AI: generative AI has entered the explosive period of application, which will greatly promote the production and creation of digital content.

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