We develop a small and lightweight deep learning model optimized for mobile devices.
Hyperconnect seeks to better understand users without compromising data security and privacy. We ensure that machine learning is trained locally on-device without data ever having to be sent to the server.
We make easy interaction between users possible.
Our model learns from every user interaction. The more it learns, the better it becomes at providing more engaging and authentic experience for users.
We develop and directly design the AI infrastructure, along with research and production engines.
Based on a solid ML-Ops culture, we strive to achieve smarter and faster research iterations. We are automating everything, from smart data processing to cutting-edge model research and development.
Papers and Awards
- Low Power Image Recognition Competition (LPIRC) 2nd place, in 2018
- Keyword spotting model (TC-ResNet) running on mobile INTERSPEECH 2019, published in 2019
- Facial reproduction technology through learning Few-shot AAAI 2020, in 2019
- Attentron: Few-shot Text-to-Speech Exploiting Attention-based Variable Length Embedding INTERSPEECH 2020, published in 2020