Dr. Fanlei GauTure went to Krakow, Poland to participate in ECAI-2023 Conference

  The 26th European Conference on Artificial Intelligence ECAI 2023 was held in Krakow, Poland from September 30, 2023 to October 5, 2023, and GauTure appointed Dr. Fan Lei, one of the authors of the paper, to attend the conference. Dr. Fan Lei reported the paper "Identifying the Defective: Detecting Damaged Grains for Cereal Appearance Inspection", which was jointly participated by GauTure R&D team members. The results were very fruitful.

Picturesque Krakow

ECAI-2023 Conference Entrance

Dr. Fan Lei sharing at the conference

Dr. Fan Lei presents his thesis to European scholars“Identifying the Defective: Detecting Damaged Grains for Cereal Appearance Inspection”

  Papers contributed by GauTure as first author in July 2023“Identifying the Defective: Detecting Damaged Grains for Cereal Appearance Inspection” by the European Conference on Artificial Intelligence26th European Conference on Artificial Intelligence ECAI The full text of 2023 is accepted and the conference is a CCF-B recommended conference.

  【The selection process was competitive. Out of the 1631 papers under review this year, we could accept 24% of the papers.】"The selection process is extremely competitive, with only 24 percent of the 1,631 papers reviewed this year being accepted."

  European Conference on Artificial Intelligence(ECAI)

  European Conference on Artificial Intelligence (ECAI) is an authoritative conference in the field of artificial intelligence related areas, and it is a Class B conference recommended by the Chinese Computer Society with strong international influence, which is held once every two years. This conference received 1631 valid submissions, and the actual acceptance rate was only 24%.

  The paper selected for the ECAI conference - the content belongs to the category of "GauTure AI", GauTure AI main technology includes powerful computing power algorithm platform and deep learning framework based on the knowledge center and so on. Since its establishment, GauTure has been committed to building an ecosystem of hardware and software based on AI+computing and applying it to the food industry.

  By analyzing the unique characteristics of seeds, we defined GAI as a generalized anomaly detection problem in which healthy and edible seeds are considered normal samples while damaged seeds or unknown objects are considered anomalous samples." The results show that AD-GAI achieves comparable performance compared to state-of-the-art anomaly detection methods, while AI4GrainInsp delivers highly consistent performance compared to human experts and offers more than a 20-fold speedup in inspection efficiency.