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…
A Survey on Embedding Dynamic Graphs
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…
Recommendations as Treatments
Aerial Wildlife Detection
AIDE: Annotation Interface for Data-driven Ecology – Tools for detecting wildlife in aerial images using active learning
SynapseML: A simple, multilingual, and massively parallel machine learning library
Today, we’re excited to announce the release of SynapseML (previously MMLSpark), an open-source library that simplifies the creation of massively scalable machine learning (ML) pipelines. Building production-ready distributed ML pipelines can be difficult, even for…