Riiid Labs Announces the Successful Conclusion of Global AIEd Challenge

Riiid is advancing Artificial Intelligence (AI) Education to develop a better model for worldwide education post-COVID 19.

FREMONT, CA: Riiid Labs, the AI-education company, announces the successful conclusion of its first-ever global Artificial Intelligence Education (AIEd) Challenge, created to boost innovation in education by developing a better and equitable learning model for students around the globe. Riiid’s AIEd Challenge gained 3,395 teams from 90 countries, the most of any 2020 Kaggle algorithm competition conducted by a business entity. Among all the participants in those teams were 52 of Kaggle’s 270 Grandmasters, the high rank for Kaggle competitors based on previous performance. In comparison, 2020 competitions averaged 25 Grandmasters. Additionally, 20 of the major 100 Kaggle ranked competitors participated in the AIEd Challenge.

The top three prize-winning teams will give their models at the AAAI-2021 Workshop on AI Education: Imagining Post-COVID Education with AI, organized by researchers at Riiid and conducted virtually on February 9.

“The great success of the inaugural Riiid AIEd Challenge demonstrates us that Riiid is pioneering the change in the education industry. The Challenge pioneered top-tier AI researchers around the globe to be actively engaged in AIEd and we are very thankful that Riiid opened that possibility. At Riiid, we will continue to lead and define the future of AIEd based on our technological advancement and leadership,” says YJ Jang, founder, and CEO of Riiid.

The Riiid AIEd Challenge was successful for several reasons. Not only did it present a well-organized issue in an evolving industry, which is attractive to anyone expecting to practice and exercise their data science potentials, but almost every data scientist can relate to the problem. When that story has been gathered in a problem to expand students' education across the globe, it is hard not to jump in and want to offer insights.

“We are building a whole new academic ecosystem, and in the near future, we will leave the current educational paradigm far behind and embrace all that AI has to offer,” concludes Jang.