1、 Recognition criteria
Technical ability: The system should be able to master and flexibly apply the basic theoretical knowledge and professional technical knowledge of artificial intelligence, grasp the current status and development trends of artificial intelligence technology, and have the ability to track the forefront level of artificial intelligence technology development. Has a profound academic background and rich practical experience in the field of artificial intelligence, especially with significant achievements in machine learning, natural language processing, computer vision, robotics technology, intelligent systems, and other areas. Having strong research capabilities, able to lead high-level and high-value research projects and topics in the field of artificial intelligence, and producing technical reports that have been evaluated by peer experts and are at the world's advanced level, achieving good economic and social benefits.
Project management ability: able to independently manage projects, including project planning, execution, and summary, with rich project management experience. Ability to coordinate team members, ensure smooth project progress, and play key roles in the team.
Innovation ability: Possess innovative thinking in the field of artificial intelligence, able to propose novel solutions, and promote the innovation and application of artificial intelligence technology. Significant breakthroughs have been made in technological innovation, introduction, and promotion of new technologies, resulting in significant economic and social benefits.
Academic contribution: As the first author or corresponding author, publish professional papers with significant academic value in key journals, or as an important leader, complete invention patents, technical reports, research reports, design documents, technical standards, monographs, etc. that have a significant impact in the industry.
Industry recognition: It has a high industry recognition in the field of artificial intelligence and can play an important role in guiding and cultivating young and middle-aged academic and technical backbones.
2、 Certification Scheme
Application process: The applicant submits application materials, including personal resume, research achievements, project experience, academic papers, patent certificates, etc. The Academy of Sciences organizes experts to review the application materials and, if necessary, conduct interviews or on-site inspections. Based on the review results, the Academy of Sciences decides whether to recognize the applicant as a senior artificial intelligence engineer.
Evaluation criteria: The evaluation experts evaluate the applicant's technical ability, project management ability, innovation ability, academic contribution, and industry recognition based on the recognition criteria. During the evaluation process, emphasis is placed on the applicant's practical experience and achievements, as well as their influence and contribution in the field of artificial intelligence.
Follow up management: Personnel recognized as senior engineers in artificial intelligence are required to regularly submit work reports to the Academy of Sciences, reporting on their research progress and achievements in the field of artificial intelligence. The Academy of Sciences will conduct regular reviews of the recognized individuals to ensure that they continue to meet the recognition criteria. For personnel who no longer meet the recognition criteria, the Academy of Sciences will revoke their qualification as senior engineers.
Incentive mechanism: In order to encourage the development of talents in the field of artificial intelligence, the Academy of Sciences will give certain honors and rewards to personnel recognized as senior engineers in artificial intelligence. At the same time, the Academy of Sciences will actively recommend recognized individuals to participate in academic exchanges and collaborations both domestically and internationally, providing a broader stage for their career development.
Through the above recognition criteria and schemes, the National Academy of Artificial Intelligence aims to select and recognize senior engineers with outstanding abilities and contributions in the field of artificial intelligence, promote innovation and application of artificial intelligence technology, and promote the healthy development of the artificial intelligence field. Send relevant resume materials to email: secretary@thenaai.org
Artificial Intelligence Algorithm Major
The professional direction of artificial intelligence algorithms includes machine learning, pattern recognition, data mining, computational intelligence, natural language processing, knowledge representation and processing, big data intelligence, cross media intelligence, swarm intelligence, brain like computing, human-machine hybrid intelligence, computer vision, speech recognition and synthesis, multi-agent systems, autonomous intelligent unmanned systems, virtual reality and augmented reality, artificial intelligence security and other artificial intelligence algorithms, as well as related basic software design, development and optimization technical positions.
Artificial Intelligence Hardware Specialty
The professional direction of artificial intelligence hardware includes research and development, deployment, and optimization technology positions for artificial intelligence hardware such as artificial intelligence chips, intelligent sensors, intelligent controllers, computing platforms, edge and end devices, brain machine devices, intelligent robots, and intelligent terminals.
Artificial Intelligence Application Major
The professional direction of AI application includes the design, development, testing, optimization, operation and maintenance, service and other technical posts that combine AI algorithms and related technologies with the needs of industries such as manufacturing, medical care, transportation, home furnishing, finance, commerce, agriculture, education, government affairs, security, logistics, energy, and the Internet to achieve the engineering landing of related software and hardware platforms.