CoreStory raises $32M to help companies modernize legacy code with AI

San Francisco-based CoreStory is working to speed up the software modernization workflow. The company has developed an ...
Superbike News

Neural networks: how they work and where they are used

Neural networks are algorithmic systems created based on the principle of the human nervous system. They consist of many ...
IEEE

Adaptive Neural Network Tracking Control for Nonstrict-Feedback Nonlinear Systems With States and Inputs Quantization

Abstract: It is a common control issue that the input signal of the system is quantized in the controller-to-actuator channel via the communication network, but few results are available in ...
C&EN

Efficient Molecular Crystal Structure Prediction and Stability Assessment with AIMNet2 Neural Network Potentials

Department of Materials Science and Engineering, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, Pennsylvania 15213, United States Department of Chemistry, Carnegie Mellon University, 5000 ...
IEEE

GIGNet: A Graph-in-Graph Neural Network for Automatic Modulation Recognition

Abstract: In this paper, we propose a robust end-to-end classification model, Graph-in-Graph Neural Network (GIGNet), for automatic modulation recognition (AMR). In GIGNet, multi-level graph neural ...
C&EN

NN-VRCTST: Neural Network Potentials Meet Variable Reaction Coordinate Transition State Theory for the Rate Constant Determination of Barrierless Reactions

MOX, Modeling and Scientific Computing, Dipartimento di Matematica, Politecnico di Milano, 20133 Milano, Italy ...