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Transfer learning-enhanced physics-informed neural network (TLE-PINN): A breakthrough in melt pool prediction for laser melting
Researchers have developed a transfer learning-enhanced physics-informed neural network (TLE-PINN) for predicting melt pool ...
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From 50s Perceptrons To The Freaky Stuff We’re Doing Today
Max pooling was introduced in 1992 and has been a big part of the success of many neural networks. A deep neural network is one that has many layers. As our own Will Sweatman pointed out in his ...
Google’s new neural-net LLM architecture separates memory components to control exploding costs of capacity and compute
Titans architecture complements attention layers with neural memory modules that select bits of information worth saving in the long term.
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Beijing Scientists Reveal Game-Changing Optical Neural Network, Revolutionizing AI Training
The correlated optical convolutional neural network comprises four main components: the correlated light source, the convolution, the pooling, and the detections. The core processing is performed ...
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AI Boosts Melt Pool Prediction in Laser Melting
Researchers have developed a transfer learning-enhanced physics-informed neural network (TLE-PINN) for predicting melt pool morphology in selective ...