Top 10 Technology trends in 2024. Just after 2023, artificial intelligence is continuously advancing along a stable development trajectory. What can these give us? In what direction should we focus in 2024? To this end, Baidu Research Institute recently released a forecast of ten major technology trends in 2024.
In the past 2023, we have seen many developments in the field of artificial intelligence:
At the technical level, the emergence of tools such as AutoML has lowered the technical threshold for deep learning. At the hardware level, the emergence of various AI-specific chips provides computing power for large-scale applications of deep learning. In addition to AI, the development of Internet of Things, quantum computing, 5G and other related technologies has also provided many conveniences for the penetration of deep learning in the industry.
The rapid development of these underlying technologies and the increasing trend of technology integration means that in 2024, we are about to enter the era of “industrialized” mass production of AI.
Recently, based on the development of artificial intelligence technology in the past decade and the practical experience of industrial applications worldwide, the Baidu Research Institute officially released the 2024 top ten technology trends forecast.
The following is a detailed interpretation of the top ten forecasting trends:
Trend 1: AI technology has reached the stage of industrialization, and there will be many “AI factories” in 2024
AI technology itself and various business solutions have matured and are rapidly entering the “industrialization” stage. With the continuous investment of AI technology from domestic and foreign technology giants, there will be many AI model factories and AI data factories around the world in 2024. AI technologies and business solutions will be produced on a large scale and used in various industries to help the industry. upgrade. For example, AI solutions in the customer service industry can be replicated and applied to industries such as finance, e-commerce, and education on a large scale.
Trend 2: 2024 will be a critical year for the large-scale landing of AI chips
In recent years, AI chips have gradually reached a usable state, and 2024 will be a key year for the large-scale landing of AI chips. End-side AI chips will be more low-cost, professional, and integrated solutions. At the same time, the NPU (Neural Network Processing Unit) will become the basic module of the next generation of general-purpose CPU chips. In the future, more and more end-side CPU chips will use deep learning as the core for new chip planning. In addition to the chip, AI will also redefine the computer architecture, supporting AI training and predictive computing as a new heterogeneous design architecture idea.
Trend 3: Deep learning technology penetrates the industry and is applied on a large scale
Deep learning is currently the most important field in artificial intelligence and the most effective technology proven by the industry. An open source deep learning platform with a deep learning framework at the core has greatly reduced the threshold for the development of artificial intelligence technology and effectively improved the quality and efficiency of artificial intelligence applications. In 2024, all walks of life will apply deep learning technologies on a large scale to implement innovations and accelerate transformation and upgrading.
Trend 4: Automatic machine learning AutoML will greatly reduce the threshold of machine learning
AutoML will be able to integrate the iterative processes in traditional machine learning to build an automated process. Researchers only need to input meta-knowledge (such as the convolution operation process, description of the problem, etc.), and the algorithm can automatically select the appropriate data, automatically optimize the model structure and configuration, automatically train the model, and adapt it to deployment To different devices. The rapid development of AutoML will greatly reduce the threshold of machine learning and expand the penetration rate of AI applications.
Trend 5: Multi-modal deep semantic understanding is further mature and more widely used
Multi-modal deep semantic understanding integrates different modal information to achieve multi-dimensional understanding of data.
AI technologies such as perception and cognition help to achieve this deep understanding.
With the development of vision, speech, natural language understanding, and knowledge atlas technologies, multi-modal deep semantic understanding has matured.
Application scenarios for this technology have become wider.
AI chips combined with multi-modal deep semantic understanding will be used in various industries such as internet, smart home, finance, security, education, and medical.
Trend 6: Natural language processing technology will be deeply integrated with knowledge, and computing platforms for general natural language understanding will be widely used
Large-scale language model pre-training technology has greatly enhanced general natural language understanding ability.
Pre-training technology based on semantic representation integrates with domain knowledge to improve natural language processing tasks.
Automatic question answering, sentiment analysis, reading comprehension, and information extraction all benefit from this technology.
A universal natural language comprehension computing platform is being developed, combining ultra-large-scale computing power, rich domain data, and pre-trained models.
The platform is expected to mature and be widely used in various fields such as internet, medical, legal, and financial.
Trend 7: IoT will make breakthroughs in three directions: boundary, dimension and scenario
5G and edge computing will break through cloud computing centers and create a pan-distributed computing platform.
Time and space are crucial dimensions of this world, and insights will be basic capabilities of new IoT platforms.
Integration of IoT with more scenarios will be promoted such as energy, power, industry, logistics, and medical care.
The integration of IoT with smart cities will also create more value.
This will bring about a new way of computing that will spread to all things.
Trend 8: Intelligent transportation will accelerate its landing in diverse scenarios such as parks and cities
The development of autonomous driving is becoming more rational with increased market confidence.
In 2024, more autonomous vehicles will be used in logistics, express delivery, public transport, and closed roads.
V2X (vehicle to everything) technology has started large-scale deployment and application.
V2X technology is making vehicles and roads more widely connected, promoting intelligent vehicle-road collaboration technology.
Intelligent transportation is accelerating in diverse scenarios such as parks, cities, and high-speed landing.
Trend 9: Blockchain technology will be integrated into more scenarios with a more pragmatic attitude
Blockchain technology has integrated with AI, big data, IOT, and edge computing to solve data and offline mapping problems.
Solutions built around the blockchain for data confirmation, use, circulation, and exchange are vital in all walks of life.
E-commerce can guarantee the authenticity of the data for the entire process of goods with blockchain.
Supply chain management can ensure openness and transparency of the entire process of data and secure exchange between businesses.
Thanks to the robust solutions provided by blockchain technology, we can realize electronic documents.
Trend 10: Quantum computing will usher in a new round of explosion, injecting new vitality into AI and cloud computing
With the successful demonstration of “quantum hegemony”, quantum computing will usher in a new explosion in 2024.
Quantum hardware’s programmable medium-scale noisy devices will improve further with error correction capabilities.
These devices will be capable of running quantum algorithms with practical value in the future.
Quantum AI applications will greatly benefit from the development of these devices.
High-quality quantum computing software and platforms will emerge with deep integration with AI and cloud technologies.
The initial formation of the quantum computing ecological industrial chain will draw more attention to the technology in various fields.
More and more industry giants are investing in R & D resources for strategic layout. Have the opportunity to bring a new look to the future of AI and cloud computing.
