Black Forest Labs' new Self-Flow technique makes training multimodal AI models 2.8x more efficient

This efficiency makes it viable for enterprises to move beyond generic off-the-shelf solutions and develop specialized models ...
IEEE

Knowledge-Based Convolutional Neural Network for the Simulation and Prediction of Two-Phase Darcy Flows

Abstract: Physics-informed neural networks (PINNs) have gained significant prominence as a powerful tool in the field of scientific computing and simulations. Their ability to seamlessly integrate ...
IEEE

A Novel Multiphase Flow Water Cut Modeling Framework Based on Multilevel Multiscale Convolutional Neural Network

Abstract: Water cut measurement is crucial in oil–water multiphase flows, particularly in late-stage oilfield extraction, where high water production presents significant operational challenges. This ...