If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...

Blasting is considered an indispensable process in mining excavation operations. Generally, only a small percentage of the total energy of blasting is consumed in the fragmentation and displacement of ...

A new international study has introduced Curved Neural Networks—a new type of AI memory architecture inspired by ideas from ...

When solving decision-making problems with mathematical optimization, some constraints or objectives may lack analytic expressions but can be approximated from the data. When an approximation is made ...

But GPUs had a knack for running the math that powers what are known as neural networks, which can learn skills by analyzing large amounts of data.

The artificial neural network method was used to establish the T-BP neural network model, the PCA-BP neural network model, and the GA-BP neural network model. The data of this survey were based on the ...

In this paper, a data-driven evolutionary algorithm based on inductive graph neural networks (DEA-IGNN) is proposed to solve MMOPs, which successfully learns the PSs topology by the graph structure to ...

In this work, we have upgraded our pairwise interaction neural network Python package PiNN via introducing equivariant features to the PiNet2 architecture for fitting potential energy surfaces along ...

Moreover, inadequate measured output current-voltage (I-V) data make it difficult for conventional meta-heuristic algorithms to obtain a high-quality optimum for solar cell modeling without a reliable ...