Alibaba unveils top technology trend forecasting for 2023
By Digital News Asia January 19, 2023
- Announces ten trends that will shape industries in years to come
- Advancements of various technologies to drive software/hardware co-design
Alibaba DAMO Academy (DAMO), the global research initiative by Alibaba Group, has shared its annual forecasting of the leading technology trends that could shape many industries in the years ahead.
In a statement, the tech giant said among the leading technology trends, Generative AI, which has already gained considerable traction, is expected to make further strides with its growing applications set to transform how digital content is produced.
It said aided by future technological advancements and cost reductions, Generative AI will become an inclusive technology that can significantly enhance the variety, creativity and efficiency of content creation.
DAMO said another important emerging technology is dual-engine decision intelligence.
Supported by both operations optimisation and machine learning, the dual-engine decision intelligence system enables dynamic, comprehensive and real-time resource allocation, such as real-time electricity dispatching, optimisation of port throughput, assignment of airport stands and improvements in manufacturing processes, it added.
As such, the technology can also help businesses enhance operational efficiency, it said.
Additionally, the firm said cloud computing and security is predicted to continue playing a key role in businesses’ digital transformation.
As security technologies and cloud computing are becoming more integrated than ever before, security services have embraced the shift to become more cloud native, platform-oriented and intelligent, it added.
Other rising trends in DAMO’s forecast include pre-trained multimodal foundation models, chiplets, processing in memory, hardware-software integrated cloud computing architecture, predictable fabric based on edge-cloud synergy, computational imaging, as well as large-scale urban digital twins.
By analysing public papers and patent filings over the past three years and conducting interviews with almost 100 scientists, entrepreneurs and engineers worldwide, DAMO presents the top technology trends in 2023 that are expected to achieve accelerated breakthroughs and impact positively across core industries economically and socially.
Jeff Zhang, (pic, right) head of Alibaba DAMO Academy said looking towards 2023, the advancement of various technologies will drive software/hardware co-design and the integration of computing and communications technologies.
“The wide application of technologies will facilitate the rollout of AI and other digital technologies in vertical markets and promote the collaboration of public and private sectors and individuals in security technology and security management,” he added.
“The innovation driven by the advancement of technologies and their industry-specific application has become an irreversible trend,” Zhang said.
In 2023, DAMO expects to see technology progress and the surge of related applications across fields:
Trend 1: Generative AI
Generative AI generates new content based on a given set of text, images, or audio files. Currently, it is mainly used to produce prototypes and drafts and is applied in scenarios like gaming, advertising, and graphic design. Along with future technological advancement and cost reduction, Generative AI will become an inclusive technology that can significantly enhance the variety, creativity, and efficiency of content creation.
According to DAMO, in the next three years, we will see business models emerging and ecosystems maturing as Generative AI becomes widely marketised.
These models will be more interactive, secure, and intelligent, assisting human beings to complete various creative work, it said.
Trend 2: Dual-engine Decision Intelligence
In the past, traditional decision-making methods were based on Operations Research. Due to its limitations in handling problems with great uncertainty and its slow response to large-scale problems, academia and industry began to include machine learning into decision optimisation.
DAMO said the two engines are perfect complements to each other, and when used in tandem, can improve the speed and quality of decision making. However, in the future, this technology is expected to be widely used in a variety of scenarios to support dynamic, comprehensive and real-time resource allocation, such as real-time electricity dispatching, optimisation of port throughput, assignment of airport stands, and improvement of manufacturing processes.
It added that in the future, dual-engine decision intelligence will be applied in more scenarios.
This will serve to increase the number of entities and expand the scale in regional resource allocation scenarios, and eventually achieve dynamic, comprehensive, and real-time resource allocation, it said.
Trend 3: Cloud-native Security
Cloud-native security is implemented to not only deliver security capabilities that are native to cloud infrastructure, but also improve security services by leveraging cloud-native technologies .
DAMO said security technologies and cloud computing are becoming more integrated than ever before and we have witnessed applied technologies evolve from containerized deployment to microservices and then to the serverless model, and security services embraced the shift to become native, fine-grained, platform-oriented, and intelligent.
It added that in the next three to five years cloud-native security will become more versatile and can adapt more easily to multi-cloud architectures. It will also become more conducive to building security systems that are dynamic, end-to-end, precise, and applicable to hybrid environments.
Trend 4: Pre-trained Multimodal Foundation Models
Pre-trained multimodal foundation models have become a new paradigm and infrastructure for building AI systems. These models can acquire knowledge from different modalities and present the knowledge based on a unified representation learning framework.
In the future, foundation models are set to serve as the basic infrastructure of AI systems across tasks of images, text and audio, empowering AI systems with cognitive intelligence capabilities to reason, answer questions, summarize, and create, DAMO said.
Trend 5: Hardware-Software Integrated Cloud Computing Architecture
Cloud computing is evolving towards a new architecture centered around Cloud Infrastructure Processor (CIPU). This software-defined, hardware-accelerated architecture helps accelerate cloud applications while maintaining high elasticity and agility for cloud application development.
In the future, CIPU will become the de facto standard of next-generation cloud computing and bring new development opportunities for core software R&D and dedicated chip design.
Trend 6: Predictable Fabric based on Edge-Cloud Synergy
Predictable fabric, a host-network co-design networking system driven by advances in cloud computing, and aims to offer high-performance network services. It is also an inevitable trend as today's computing and networking capabilities gradually converge on each other.
Through the full-stack innovation of cloud-defined protocols, software, chips, hardware, architecture, and platforms, predictable fabric is expected to subvert the traditional TCP-based network architecture and become part of the core network in next-generation data centers.
DAMO highlights that advances in this area are also driving the adoption of predictable fabric from data center networks to wide-area cloud backbone networks.
Trend 7: Computational Imaging
Computational imaging is an emerging interdisciplinary technology. In contrast with traditional imaging techniques, computational imaging makes use of mathematical models and signal processing capabilities, and thus can perform unprecedented in-depth analysis on light field information.
This technology is already used on a large scale in mobile phone photography, health care, and autonomous driving and in the future, computational imaging will continue to revolutionize traditional imaging technologies, and give rise to innovative and imaginative applications such as lensless imaging, and Non-line-of-sight (NLOS) imaging.
Trend 8: Chiplet
Chiplet-based design allows manufacturers to break down a system on a chip (SoC) into multiple chiplets, manufacture the chiplets separately by using different processes, and finally integrate them into an SoC through interconnects and packaging.
The interconnect standards of chiplets are being unified into a single standard, accelerating the industrialisation process of chiplets. Powered by advanced packaging technologies, chiplets may bring in a new wave of change to the R&D process of integrated circuits and reshape the landscape of the chip industry.
Trend 9: PIM
Processing in Memory (PIM) technology is the integration of a CPU and memory on a single chip, which allows data to be directly processed in memory.
In the future, compute-in-memory chips are projected to be used in more powerful applications such as cloud-based inference. This will shift the traditional computing-centric architecture towards the data-centric architecture, which will have a positive impact on industries such as cloud computing, AI, and Internet of Things (IoT).
Trend 10: Large-scale Urban Digital Twins
The concept of the urban digital twins has become a new approach to refined city governance. So far, large-scale urban digital twins have made major progress in scenarios such as traffic governance, natural disaster prevention and management, carbon peaking and neutrality. In the future, large-scale urban digital twins will become more autonomous and multidimensional.
Click here for more details about the DAMO Top Technology Trends Forecast https://damo.alibaba.com/techtrends/2023?lang=en.
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