Abstract

Avalanche is a computing company, founded at the bay area, provides the hyper-scale architecture for making AI applications. The target applications, including medical, smart manufacturing, and other potential markets around the world. In the past year, the avalanche finished at least 15 showcases, including university-industry projects and proof-of-concept in Taiwan. As we know, data collection and data argumentation is an essential step for deep learning solutions. However, data collection is difficult for traditional companies, which is a crucial part of doing AI.

Now, we launched the first product, smart labeling, which provides high quality, activity learning, and fast speed in our scalable deep learning end-to-end framework. Today, we go through some background knowledge of smart manufacturing and how we use activity learning in our deep learning end-to-end solutions.

All faculties and students are welcome to join.