'Gaussian Mixture 2021', where Gauss Labs shares 'an overview of industrial AI and various research topics of the company', will be held in the form of a webinar on December 14th at 8:00 pm. (Image = SK hynix)

[Seoul Finance Correspondent Oh Se-jeong] Gauss Labs announced on the 10th that it would hold 'Gaussian Mixture 2021', which shares 'an overview of industrial AI and various research topics of the company', in real-time video streaming, a webinar format, on the 14th.

Gauss Labs, established in August last year based on the capital invested by SK Hynix, is headquartered in Silicon Valley, USA. Currently, SK Hynix is ​​an industrial AI research and development company specializing in developing AI solutions that can increase production efficiency by using data generated at the semiconductor manufacturing site.

Gaussian Mixture 2021, which is held in the form of a webinar, is open to anyone with a pure passion and curiosity for AI, and is designed to provide opportunities for participants to freely exchange industrial AI-related knowledge and information and to grow in the process.

At the event with three themes, presentations will be made on △Big Blue Ocean of Industrial AI △Time-series Learning and Application in Manufacturing △Computer Vision for Sub-nanometer Ultra-Precision Machine Vision. After the Q&A on the content of the presentation, there will be a Q&A session on the company and recruitment to actively recruit talented people who will join the journey to the best in the field of industrial AI.

You can register for this event through the online pre-registration page until the 13th. Kim Young-han, CEO of Gauss Labs, said, "I hope this event will be an opportunity to actively communicate with talented people who are interested in industrial AI and AI in general." We plan to actively conduct an introduction to Labs in general and Q&A about the company, so please pay a lot of attention.”

Copyright © Seoul Finance. Prohibition of unauthorized reprinting and redistribution.

Source (in Korean): Seoul Finance