SeaMLS 2020 is postponed. Please see the announcement here.

Southeast Asia Machine Learning School

In light of the Covid-19 situation, we have made the difficult decision to postpone SeaMLS 2020 to a later time until the global situation has improved. Please see further details by clicking on the button below.
Da Nang, photo by Mai Thanh Cuong
Da Nang, photo by Nguyen Trung Thu

About The Event

The Southeast Asia Machine Learning School (SeaMLS) is a six-day event where participants have the chance to learn more about the current state of the art in machine learning and deep learning, including relevant applications to data science, computer vision, and natural language processing.

Our Speakers

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We are closely monitoring the global situation with respect to Covid-19 and will reopen our application form when we have new dates for SeaMLS in Vietnam.

Registration for accepted participants will open shortly afterwards.
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Da Nang, photo by Vuong Kha Thinh
Da Nang, photo by Pham Ngoc Tien

Why Southeast Asia?

At 640 million people, Southeast Asians constitute nearly 10% of the world’s population. Nevertheless, Southeast Asians remain extremely underrepresented in machine learning and artificial intelligence.

Data from the International Conference on Machine Learning (ICML 2018), one of the two biggest conferences in machine learning with more than 5,000 attendees, suggest that fewer than 0.5% of ICML attendees are from Southeast Asian institutions.

To this end, the SeaMLS aims to kickstart an effort to inspire, encourage, and educate more machine learning engineers, researchers, and data scientists within the Southeast Asian region in the coming years. As artificial intelligence and automation are predicted to transform the labor market in the near future, we work toward a critical vision of more Southeast Asians as pioneers, contributors, and shapers within the artificial intelligence community.


The SeaMLS 2020 includes

Lecture Sessions

From top machine learning experts and invited speakers (both basic and more advanced topics will be covered);

Interactive practical sessions

Where participants have the chance to directly try out and implement models described in the lectures;

Panel sessions

With machine learning researchers, practitioners, industry leaders, and government representatives about current challenges in AI;

Research presentation sessions

Where participants showcase their past work and projects to get feedback from fellow participants and invited speakers; and

Social events

With our valued sponsors as prospective employers.