Yat Hong Lam

Title: **Innovator Spotlight: Yat Hong Lam**

Introduction

Yat Hong Lam is a distinguished inventor located in Tampere, Finland, with a notable portfolio boasting two patents. His work primarily revolves around advancing neural network technologies, contributing significantly to the field of machine learning and video codecs.

Latest Patents

Yat Hong Lam's latest inventions include innovative methods for compressing weight updates in decoder-side neural networks. His first patent provides a comprehensive approach for training a neural network, ensuring that weight updates are compressible through the utilization of a weight-update compression loss function. This technique entails defining a weight-update vector that subtracts the initial weight vector from the latest weight vector prior to training. Additionally, this neural network can be pruned by eliminating one or more small-valued weights to enhance compressibility.

Another critical patent of Lam's focuses on guiding the optimization of neural networks used within video codecs. This optimization process is designed to prevent overfitting by utilizing low-quality frames as both inputs and ground-truth during the optimization phase. The method details the training of the network to make accurate predictions of higher quality frames based on constructed low-quality inputs, thereby enhancing the overall predictive capabilities of the neural network.

Career Highlights

Currently employed at Nokia Technologies Oy, Yat Hong Lam has made significant strides in the tech industry through his innovative work in neural networks. His expertise in machine learning has facilitated advancements in video processing, allowing for efficient data compression and optimization techniques that are crucial in today's digital landscape.

Collaborations

Throughout his career, Yat Hong Lam has collaborated with notable colleagues, including Francesco Cricri and Alireza Zare. These partnerships have fostered a creative environment that encourages the exchange of ideas and expertise, leading to innovative advancements in their respective fields.

Conclusion

Yat Hong Lam's contributions to neural network technology underscore his status as an influential inventor in the tech industry. With his cutting-edge patents, he continues to push the boundaries of artificial intelligence and machine learning, positively impacting the way we approach data processing and optimization. His work exemplifies the spirit of innovation that drives progress in technology today.