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At the VietAI Summit 2019, Thang Le from the VietAI team, discussed data augmentation and the concept of the backtranslation. He also discussed how to apply this technique in translation from English to Vietnamese. In machine learning, we have a dataset and mathematical models. Generally, one tries to optimize the machine learning model by fitting data into the model. One of the things that makes machine learning powerful is that we have lots of data.…
At the VietAI Summit 2019, Dr. James J. Kuffner gave an insightful presentation about Toyota and artificial intelligence entitled “Toyota and the Future of Mobility.” In the history of human culture, people have been building, moving, and communicating. As technology rapidly developed, especially in recent decades, Toyota has been contributing to the transportation sectors, allowing people to move further and faster. As such, robots and manufacturing have come into play, with novel development and creation…
As part of the VietAI Summit 2019, Phuong Hoang gave a presentation covering how robots can be taken from simulation to real robots. Recently, we have seen great potential applications of both consumer and industrial robots. However, it is not one night story to build a robot from scratch. In this talk, Phuong provides a working pipeline to build a real robot from mechanics design to simulation to construct a real legged robot. He then…
2019年11月1日，越南Van Lang大学的学生在活动“人工智能（BAI）–区块链–技术创业课程”上会见了四位著名的科技创始人。 Vu Duy Thuc 博士(Kambria的CEO&联合创始人), Luu The Loi 博士 (Kyber Network创始人&CEO), MSc. Van Dinh Hong Vu (Elsa Speak的创始人&CEO) and …
On November 1st, 2019, Van Lang University students met four famous technology founders at the event “Artificial Intelligence (AI) – Blockchain – Technology Entrepreneurship Lessons.” Dr. Vu Duy Thuc (Founder, CEO of Kambria), Dr. Luu The Loi (Founder, CEO of Kyber Network), MSc. Van Dinh Hong Vu (Founder & CEO of Elsa Speak) and MSc. Ngo Tri Giang (Founder, CEO of Everest Education) inspired students with their AI and blockchain startup stories. At the beginning…
