Devdiscourse

Smarter AI Models Cut Costs and Boost Precision in Molecular Simulation Research

Researchers from Los Alamos National Laboratory, the Max Planck Institute, and Nvidia developed a teacher–student AI ...

With new open models and simulation libraries, Nvidia aims to accelerate robotics R&D

As Nvidia Corp. announced new robotics innovations at last week’s Conference on Robot Learning in South Korea, the company ...
IEEE

Graph Neural Network–Driven Decomposition for Fast Production Cost Minimization Simulation

Abstract: Production cost minimization (PCM) problem in power system faces critical challenges in achieving rapid solving. The conventional time-domain decomposition (c–TDD) approach is widely used to ...
C&EN

Multilevel Fusion Graph Neural Network for Molecule Property Prediction

The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.jcim.5c01525. Efficiency analysis of different normalization strategies ...
EurekAlert!

Real-time, large-scale graph neural network inference through BingoCGN

BingoCGN employs cross-partition message quantization to summarize inter-partition message flow, which eliminates the need for irregular off-chip memory access and utilizes a fine-grained structured ...
Scientific Research Publishing

Yu, H., Li, H., Mao, D. and Cai, Q. (2020) A Relationship Extraction Method for Domain Knowledge Graph Construction. World Wide Web, 23, 735-753.

ABSTRACT: Knowledge Graph (KG) and neural network (NN) based Question-answering (QA) systems have evolved into the realm of intelligent information retrieval as they have been able to reach a high ...
C&EN

Rapid Access to Small Molecule Conformational Ensembles in Organic Solvents Enabled by Graph Neural Network-Based Implicit Solvent Model

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Understanding and manipulating the conformational behavior of a molecule in different ...