Kakao Enterprise Publishes 16 AI Papers at Global Conferences

[Asia Economy Reporter Kang Nahum] Kakao Enterprise announced on the 9th that it has published a total of 16 artificial intelligence (AI) papers in numerous prestigious global conferences by this month.

In particular, this year, it has been recognized for its AI research achievements by publishing more papers in just over half a year than last year (13 papers).

Kakao Enterprise presented a paper on improving the detection capability of classification models at the natural language processing conference 'ACL-IJCNLP' this month, and in July, it presented a paper proposing an efficient high-quality end-to-end speech synthesis model at the machine learning conference 'ICML'.

Also, in June, it published a paper at the world’s top acoustic and speech signal processing conference ‘ICASSP’. The research focused on learning information from large-scale text corpora (language data collected in a computer-readable form for linguistic research) without changing the model structure or using a separate external language model.

Not only papers but also AI-related competitions have yielded good results. In June, it participated in the Neural Architecture Search (NAS) competition at the computer vision conference CVPR 2021, proposing a NAS algorithm that works well with datasets based on automated machine learning (autoML) know-how, achieving 3rd place.

Kakao Enterprise is preparing talent development and various industry-academia cooperation programs to continue its AI research achievements. It operates a 'Research Membership' program that conducts joint research and collaboration with outstanding AI talents, including undergraduates, master’s, and doctoral students. It provides and collaborates using Kakao Enterprise’s development infrastructure to enable flexible cooperation without restrictions on employment contracts, time, or location.

Kakao Enterprise also plans to activate joint research with academia. A Kakao Enterprise official stated, "We will continue industry-academia cooperation in connection with Seoul National University, KAIST, Pohang University of Science and Technology, and others."

This content was produced with the assistance of AI translation services.