Fourier Feature Networks and Neural Volume Rendering
Fourier Feature Networks are an exciting new development in Computer Vision, and their use for modeling radiance fields has produced a range of impressive results at the meeting point of Computer Vision and Computer Graphics.…
Carbon capture in geological formations optimized by machine learning
Carbon capture and storage (CCS) is among the most promising technologies to decarbonize industrial emissions, such as those coming from cement or steel production. The core idea of geological CCS is to compress CO2 emissions…
Tutel: An efficient mixture-of-experts implementation for large DNN model training
Mixture of experts (MoE) is a deep learning model architecture in which computational cost is sublinear to the number of parameters, making scaling easier. Nowadays, MoE is the only approach demonstrated to scale deep learning…