A novel solution for Edge AI models deployment that addresses major pain points: high overhead, model IP protection and system...

This post is a quick experience sharing about RNN. When thinking about employing Recurrent Neural Network (RNN) in our model, LSTM is...

Trying is believing. In this post, I would enable everyone to be able to try bringing my example NN processing into your own embedded...

Ray Tracing (RT) should be a very familiar term in 3D gaming, but what might be less known is its application in rendering sound, and how...

In this post, I am going to share the finding (and audio samples) of applying perceptual quality as training target for causal model. By...

The 50x inference speed up and 25x efficiency jump are very exciting, but what I really look forward to is how it could change ML system...

Simply add a dimension of time to standard Conv layer, it becomes the SVDF layer, the core component powering our favorite keyword...

The Devil is in the details, a often hidden small detail that we must not miss when interpreting performance figures. Beneath is a plot...

Large model shows us the limitless perspective of what’s possible, but model doesn’t have to be big to do amazing things. In this post, I...