w88 casino News Network (provided by the Law w88 casino)On May 25, the Beijing Division Finals and Awards Ceremony of the First National Artificial Intelligence Application Innovation Competition, sponsored by the China Society of Technical Economics and jointly organized by Beijing Institute of Technology w88 casino of Economics and Mingde College, were successfully held at Beijing Institute of Technology Liangxiang Campus. The two participating teams, the "ETBL" team led by Luan Jilai and Song Xiaoxiao, students of the 2023 Legal Engineering Class of the Law w88 casino, and the "Intellectual Law Pioneer" team, mainly participated by Zhu Chuanlu, entered the national finals with outstanding results from 161 regional competition teams from 18 universities in Beijing. They ranked second in the first prize group and first in the second prize group respectively.In this competition, the instructor of the "ETBL" team is Professor Zhang Xin of our college.

The competition is divided into two tracks: general and special. A team can only participate in the general track competition, or it can participate in the general track and the special track created by one or more competition organizing committees to collect competition topics based on the real needs of enterprise development from representative enterprises, industry leading enterprises, specialized and new enterprises, etc. The "ETBL" team, led by Luan Jilai, an undergraduate student in the 23rd grade legal engineering class, designed a large judicial and emotional intelligence analysis model with the help of the official Baidu Qianfan intelligent agent of the competition, intelligently provided professional opinions and response models, and bridged the gap between the expectations of judicial trial results and public opinion.

Song Xiaoxiao, an undergraduate in the 2023 Law Engineering class who is responsible for Agent design and defense work, focused on application innovation in the fields of artificial intelligence and law. Through wonderful on-site project demonstrations and vivid case analyses, he fully demonstrated the unlimited potential and innovative vitality of artificial intelligence technology in the fields of law and news communication. After listening to the defense, the review experts asked questions and commented from the aspects of technical implementation and application effects, and gave high marks to the first and second place in the group.

The "Intelligent Legal Pioneers" team, mainly participated by Zhu Chuanlu, an undergraduate in the 2023 legal engineering class, developed the CourtAssistant, a judicial intelligent assistance system based on large models, in order to solve the huge work pressure faced by judges as the number of judicial cases continues to increase. It is intended to solve the shortcomings of traditional case handling methods that rely on manual review of a large number of legal provisions and cases, which are inefficient and error-prone, to achieve the need to handle cases quickly and accurately, and to improve judicial efficiency and fairness. After passing the regional competition defense, he won the first place in the second prize group in Beijing.
It is reported that the National Artificial Intelligence Application Innovation Competition is jointly initiated by the China Society of Technical Economics, universities and scientific research institutions, and hosted by the China Society of Technical Economics, the Artificial Intelligence Application Professional Committee of the China Society of Technical Economics, and relevant departments of universities. It is a national competition that uses economics, management and other fields as application scenarios, and examines contestants to design AI agents (AI Agents) and apply artificial intelligence large model related technologies to solve problems in economics, management and other fields. Since the launch of the first competition, it has shown great appeal and influence. The number of applicants across the country exceeded 15,000, covering 29 competition regions, more than 400 universities and enterprises, and a total of 4,315 participating teams.