VinAI Presents at Machine Learning Research School (MLRS) 2023 in Thailand

22/08/2023 / News

In early August, VinAI made its mark at the Machine Learning Research School (MLRS) 2023. Alongside a multitude of global experts, VinAI representatives aimed to share crucial knowledge and advance Machine Learning research.

The event, held from August 2nd to August 9th in Bangkok Thailand, featured Ms. Linh Pham, AI Residency Program Manager, and Dr. Khoi Nguyen, AI Research Scientist. They discussed opportunities and challenges in the field, with Ms. Linh Pham unveiling the narrative of “Pushing AI Frontiers and Innovation in Vietnam: The VinAI Story.” Simultaneously, Dr. Khoi Nguyen impressed the audience with his work on “3D Point Cloud Instance Segmentation with Various Types of Supervision.

Ms. Linh Pham unveiling the narrative of “Pushing AI Frontiers and Innovation in Vietnam: The VinAI Story.”

VinAI’s representatives also contributed to panel discussions addressing topics including “Submitting Your Papers to ML Conferences” and “Career Development in Academia and Industry.”

The event takes place annually, with the primary goal of providing students and researchers with a foundational understanding of Machine Learning. The inclusive event offers insights from global experts and fosters interaction between attendees.

Reflecting on the event, Dr. Khoi Nguyen shared his experience, saying, “The event was impeccably organized, with the organizers displaying warm and enthusiastic hospitality. Renowned machine learning experts gathered to discuss practical topics like Core ML, Causal ML, Privacy ML, Societal Impact, Sustainability, Computer Vision, and NLP. I fostered valuable connections with fellow researchers, opening avenues for potential collaborations, all while enjoying an impressive tour of Bangkok, Thailand.”

The inclusive event offers insights from global experts and fosters interaction between attendees.

MLRS 2023 provided an excellent platform for VinAI to not just demonstrate its prominence in AI and Machine Learning fields, but also showcase its resolute commitment to introducing future technologies, today.

Back to News