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2018 official biomedical paper automatic analysis competition-biomedical related extraction

⚠️Notice: This information is for academic use only. If you need to quote it elsewhere, please indicate the source of the information as follows:

(1) "教育部人工智慧競賽與標註資料蒐集計畫(MOE AI competition and labeled data acquisition project)"

以及           

(2) Thesis  "Ming-Siang Huang, Po-Ting Lai, Pei-Yen Lin, Yu-Ting You, Richard Tzong-Han Tsai, Wen-Lian Hsu: Biomedical named entity recognition and linking datasets: survey and our recent development. Briefings Bioinform. 21(6): 2219-2238 (2020)"

Participants in this competition can practically understand the process and technology of analyzing biomedical data, and embody the medical thinking of translation, and can understand the big thinking of using natural language processing technology to connect basic medicine, bioinformatics research, and clinical treatment.

​For details of the competition, please refer to:

https://aidea-web.tw/moe2018

2019 official biomedical paper automatic analysis competition-biomedical related extraction

⚠️Notice: This information is for academic use only. If you need to quote it elsewhere, please indicate the source of the information as follows:

(1) "教育部人工智慧競賽與標註資料蒐集計畫(MOE AI competition and labeled data acquisition project)"

以及           

(2) Thesis "Ming-Siang Huang, Po-Ting Lai, Pei-Yen Lin, Yu-Ting You, Richard Tzong-Han Tsai, Wen-Lian Hsu: Biomedical named entity recognition and linking datasets: survey and our recent development. Briefings Bioinform. 21(6): 2219-2238 (2020)"

Participants in this competition can practically understand the process and technology of analyzing biomedical data, and embody the medical thinking of translation, and can understand the big thinking of using natural language processing technology to connect basic medicine, bioinformatics research, and clinical treatment.

​For details of the competition, please refer to:

https://aidea-web.tw/topic/d0cec130-b15d-4c4c-b7e8-bf95a0c34dd8

2019 official biomedical paper automatic analysis competition-biomedical related extraction

⚠️Notice: This information is for academic use only. If you need to quote it elsewhere, please indicate the source of the information as follows:

 

"教育部人工智慧競賽與標註資料蒐集計畫 (MOE AI competition and labeled data acquisition project)"

Participants in this competition can practically understand the process and technology of analyzing biomedical data, and embody the medical thinking of translation, and can understand the big thinking of using natural language processing technology to connect basic medicine, bioinformatics research, and clinical treatment.

​For details of the competition, please refer to:

https://aidea-web.tw/topic/d0cec130-b15d-4c4c-b7e8-bf95a0c34dd8

2020 Image Recognition of Irwin Mango Competition

⚠️Notice: This information is for academic use only. If you need to quote it elsewhere, please indicate the source of the information as follows:

"教育部人工智慧競賽與標註資料蒐集計畫 (MOE AI competition and labeled data acquisition project)"

​I hope that based on the concept of automatic and accurate AI image recognition technology, we will use Taiwan's local database to establish an automatic mango sieving system in the future, and further hope to cooperate with government agencies to build a complete mango smart resume in the future. The refinement of Taiwan's local Aiwen mango.

​For details of the competition, please refer to:

https://aidea-web.tw/aicup_mango

2020 Singing Transcription and Chord Estimation Competition

⚠️Notice: This information is for academic use only. If you need to quote it elsewhere, please indicate the source of the information as follows:

(1) "教育部人工智慧競賽與標註資料蒐集計畫(MOE AI competition and labeled data acquisition project)"

​以及

(2) Thesis "Jun-You Wang, Jyh-Shing Roger Jang: On the Preparation and Validation of a Large-Scale Dataset of Singing Transcription, in the Proceedings of 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),276-280."

Various online music platforms are actively expanding various AI music analysis and applications, and establishing their own machine learning or artificial intelligence departments. This type of service can be divided into two parts in the research of machine learning. One is to make recommendations for user behavior, and the other is to make recommendations for the essence of songs. Therefore, talents who are familiar with these basic music analysis elements and machine learning methods are currently In the music industry of China, there is an urgent need to focus on training.

​For details of the competition, please refer to:

https://aidea-web.tw/topic/43d9cc47-b70e-4751-80d3-a2d7333eb77b