On January 25, Baidu Research Institute released its 2022 technology trend forecast, which is the third year in a row that it has released its outlook on cutting-edge technology trends.
Baidu Research's 2022 Technology Trend Forecast
The technology trend predictions on the list this year cover three levels of AI core technology, interdisciplinary and interdisciplinary research, and AI’s industrial and social value, including pre-training large models, AI for Science (artificial intelligence applied to scientific research), and AI based AI's biological computing, privacy computing, quantum software and hardware integration, autonomous driving, deep space exploration, human-computer symbiosis, green AI, inclusive AI and other fields.
"The rapid evolution of core technologies, the enhancement of cross-domain connectivity, and the increasingly solid industrial base of artificial intelligence technology have become an important force leading innovation and development." Baidu CTO and Baidu Research President Wang Haifeng said in the preface, "I hope that in the future, In a certain era, use AI as the lamp to illuminate the road of innovation; use AI as the oar to paddle the boat of development.”
First of all, AI core technology continues to break through and evolve, and integration innovation is becoming more and more significant.
Taking the pre-trained large model as an example, the large model performs self-supervised learning based on massive data, and uses a unified model and paradigm to solve various AI tasks, breaking the traditional technology's dependence on large-scale labeled data, and significantly improving the effect of AI models. Universality and generalizability.
Technology paths such as knowledge enhancement, cross-modality, and cross-language have activated the imagination of large models, showing a trend of multi-technology integration and multi-learning co-evolution, and gradually become practical.
Second, in interdisciplinary and interdisciplinary research, AI constitutes a common variable for scientific research and technological development.
The application of artificial intelligence to scientific research, that is, the emergence of the emerging research field of AI for Science, is expected to bring about changes in scientific research paradigms; AI-based biological computing will continue to develop rapidly, and new breakthroughs will be achieved through collaborative innovation of basic research and application scenarios; in order to ensure data and privacy Security and privacy computing technology has attracted attention, and will become a breakthrough for the release of data value and an infrastructure for building trust; quantum software and hardware integration solutions have become the mainstream trend, and there is a real need to accelerate the integration and innovation of quantum computing and various industries.
第三，在产业及社会价值方面，AI正在推动自动驾驶、航天航空、人机交互等领域的发展。自动驾驶技术进入无人化落地新阶段，多元“汽车机器人”不断涌现，连接技术与场景；AI技术与航天科技融合创新，推动深空探测迈向智能化的新阶段；新冠疫情为人们的交流设置了“社交距离”，数字技术的发展缩短了这一距离，加速了人与数字人、机器人的共生，虚实结合与智能交互技术将快速融入生产生活；AI更加包容普惠，价值创造导向使中小企业、弱势群体的需求得到更多关注。
据悉，这是百度研究院连续第三年发布对前沿科技趋势的展望。此前，百度研究院关于数字人、虚拟人将大批量出现、“数字交通运营”将成为关键推动力等多条趋势预测都已逐步实现。