Abstract: Traffic flow prediction is the key to transportation safety and efficiency. The advance in machine learning and deep learning has promoted the development of intelligent transportation ...
This repo contains an example implementation of the Simple Graph Convolution (SGC) model, described in the ICML2019 paper Simplifying Graph Convolutional Networks. SGC removes the nonlinearities and ...
AWS Context is a self-learning knowledge graph for enterprise data — it propagates agent-discovered relationships ...
Norwest leads the round with strategic participation from Snowflake Ventures, as Jedify addresses the AI context problem that ...
MIT and IBM released ChartNet, a 1.7-million-sample synthetic training dataset that lets compact open-source vision-language ...
Discover how crossovers in technical analysis predict market trends and investor behavior. Explore types like the golden ...
Abstract: The accurate short-term electric load forecasting (STLF) is critical for the safety and economical operation of modern electric power systems. Recently, the graph neural network (GNN) has ...
BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
Deep Neural Network (DNN)–based stereo models have become essential for depth estimation because they overcome many of the fundamental limitations of classical and geometry-based stereo algorithms.
For example, AI applications to medical diagnosis should be regulated very differently from AI applications to self-driving cars. U.S. National Academies report on AI and the Future of Work, study ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results