What is MLRS 2023?
Machine learning research school (MLRS) is a summer school organized in Bangkok aiming to provide a basic understanding of machine learning to Thai students and researchers and to promote this research area in Thailand, through comprehensive tutorials from world-renowned experts and through direct interaction between participants, speakers, and researchers. This year is the 2nd MLRS. We are resuming MLRS in Bangkok after the COVID pandemic to bring researchers locally and internationally together. The school will cover a wide range of topics including Introduction to Machine Learning, Natural language processing, Computer vision, Fairness in AI, Ethical AI, AI for sustainability (Agriculture, Energy, Climate Change, etc), and AI in Healthcare. Moreover, we will have discussion sessions, panels, and social events to foster collaboration among the participants. The participants of the MLRS 2023 will get access to
tutorials on various topics of machine learning and its applications,
poster sessions by the participants,
and social events.
All tutorials will be conducted in English.
August 2 – 9, 2023 (8 days, with 1 day of Bangkok city tour). The agenda is coming soon.
We encourage everyone to apply, especially if you are
Graduate students in universities, whose research projects involve machine learning.
Data scientists, machine learning engineers, machine learning researchers from the industries who actively employ machine learning to improve their products and services on a daily basis.
We also accept applications from internationally to promote international collaboration.
All candidates must apply online. The application period will be from 7 May to 22 June 2023. The deadline is 22 June 2023 (11.59 PM Bangkok timezone). For more information, see here.
The MLRS 2023 will take place at Digital Economy Promotion Agency (depa, สำนักงานส่งเสริมเศรษฐกิจดิจิทัล) Lat Phrao 4 Alley, Chom Phon, Chatuchak, Bangkok 10900, Thailand. For more information about the venue and accommodation, see here.
See the FAQ page and our facebook page. You can also contact us via firstname.lastname@example.org.