enabling exact Jacobian evaluation and fast mesh refinement via a single forward pass. The team considered two approaches—with physics-informed loss terms (Physics-Informed Neural Networks, PINN ...

Nightview Capital discusses automation, AI, electrification and trends shaping the future. Click here to read their latest ...

In contrast, the proposed architecture treats the neural network as a diffeomorphism between the computational and physical domains, enabling exact Jacobian evaluation and fast mesh refinement via a ...

When two-dimensional electron systems are subjected to magnetic fields at low temperatures, they can exhibit interesting ...

Want to understand how neural networks actually learn? This video breaks down forward and backward propagation in a simple, visual way—perfect for beginners and aspiring AI engineers! #NeuralNetworks ...

A review by researchers at Tongji University and the University of Technology Sydney published in Frontiers of Computer Science, highlights the powerful role of graph neural networks (GNNs) in ...

Brain-inspired spiking neural networks bring real-time AI to edge devices, boosting performance, reducing power use, and ...

New research details how infrared thermography, high-definition imaging and neural network analysis can combine to make concrete bridge inspections more efficient. Researchers are hopeful that their ...