According to Gartner, by 2022, artificial intelligence will create $2.9 trillion in business value and 6.2 billion hours of labor productivity globally. After more than 60 years of long exploration, artificial intelligence finally ushered in the third wave, and began to be closely integrated with application practice.
Artificial intelligence majors become "new favorites"
Recently, the Ministry of Education announced the results of the 2021 filing and approval results for undergraduate majors in ordinary colleges and universities. According to statistics, in the list of newly registered majors, 95 universities including Peking University and University of International Business and Economics have added artificial intelligence majors. It is reported that since March 2019, 35 colleges and universities across the country obtained the first batch of qualifications for the construction of new artificial intelligence majors, and artificial intelligence has become a "popular" major for three consecutive years.
From a policy perspective, in order to seize the major strategic opportunities in the development of artificial intelligence and build a first-mover advantage in the development of artificial intelligence in my country, the State Council issued the "New Generation Artificial Intelligence Development Plan" as early as 2017, clearly stating that "building artificial intelligence Disciplines", including improving the discipline layout in the field of artificial intelligence, establishing artificial intelligence majors, etc.
"Although my country is already the world's largest in terms of the number of artificial intelligence papers, citations, and patent applications, and has developed a number of leading technologies, my country still has relatively low levels of AI basic theory, original algorithms, high-end chips and ecosystems. There is a big gap." Professor Zhang Kaihua from the School of Information and Control, Nanjing University of Information Technology said in an interview with the media, "As the main front of high-level talent training, colleges and universities should increase talent training, strengthen forward-looking basic research on artificial intelligence, and continuously improve information. level to support intelligent development.”
Robots help artificial intelligence scenarios land
It is worth mentioning that abstract academic concepts cannot achieve sustainable business value after all, and the ultimate goal of artificial intelligence is to be applied. On the road of exploring how to closely combine artificial intelligence with application practice, robots provide a good foothold for the implementation of artificial intelligence scenarios.
In terms of artificial intelligence landing robots, some problems such as dealing with dynamic environments and multimodal human-machine collaboration are being overcome one by one; some new artificial intelligence methods are being applied to multi-layer machine learning, multimodal perception, operation, planning and other robots. high-level functions. At the same time, it has also incubated and cultivated a number of representative intelligent robot innovation enterprises.
"Robots allow artificial intelligence to 'walk out' of the laboratory and into the 'training ground' of scene applications; at the same time, the continuous development of artificial intelligence has provided strong technical support for the development of the robot industry." Zhongzhi, a well-known domestic service robot enterprise The relevant person in charge of Guard said. It is reported that Zhongzhi Guard, which specializes in the intelligent building commercial service robot track, has built a strong enterprise technical barrier by relying on years of technical accumulation in artificial intelligence.
Promote the deep integration of "AI + robot"
It is understood that under the condition of large-scale application of products, CITIC Guard is combined with front-end real-time analysis capabilities and back-end data processing and AI integration capabilities to continuously dig into the needs of building scenarios, so as to realize self, continuous learning and scene integration on the system. Adaptive application capabilities.
At the same time, through computing power decomposition, data fusion and shared computing, CITIC Guard ensures that the robot can grasp the scene characteristics and simulate operation before application, and dynamically adjust the navigation control and scheduling strategy during the application process, so that the robot can change from individual combat to The group fights and continues to learn and upgrade to ensure operational efficiency, service efficiency and service safety. In addition, through the self-developed semantic gateway and NLP central control, the rapid iteration and improvement of the voice function in commercial scenarios can be realized, and the friendly terminal experience effect of voice interaction skills can be guaranteed.
From the design of the key modules at the bottom, to the data acquisition, processing, distribution and analysis of the middle layer, to the application development of the highest layer, CIIC Guard has carried out layout and exploration, and has realized the interoperability of data. Rong is making efforts to further the underlying chip and the top-level real-time control and operation service system.
From "Internet +" to "Artificial Intelligence +", robot companies represented by CITIC Guard insist on market demand-oriented, aiming at the application of robot products, constantly explore new business models, and promote the depth of "AI + robots" Integration helps artificial intelligence release more and greater practical value.
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