You can head over to Twitter for Bill’s side of things. Bill described Poles’ record outside of the second round as “dreadful ...

Graph Neural Networks are on the path to becoming more mainstream, with exciting opportunities for the maturation of essential operations across message passing such as scatters, gathers, segmented ...

This paper focuses on developing a performance guaranteed state estimation algorithm for 2D pose graph problems for mobile robots. Different from probabilistic methods, the measurement noises are only ...

The gFTP algorithm constructs binary recurrent neural networks with user-defined dynamics by adjusting non-realizable graphs and solving linear problems. This innovative approach enhances the ...

Researchers at Manchester University in the UK have used graphene to make a new electrically-controlled switching device that supports both memory and logic functions. The device, which exploits ...

Graph database vendor Neo4j Inc. is teaming up with Snowflake Inc. to make a library of Neo4j’s graph analytics functions available in the Snowflake cloud. The deal announced today allows users ...

Graph neural network (GNN)-based deep learning (DL) models have been widely implemented to predict the experimental aqueous solvation free energy, while its prediction accuracy has reached a plateau ...