A research team has introduced a lightweight artificial intelligence method that accurately identifies wheat growth stages ...

By transferring temporal knowledge from complex time-series models to a compact model through knowledge distillation and attention mechanisms, the ...

A hybrid model combining LM, GA, and BP neural networks improves TCM's diagnostic accuracy for IPF, achieving 81.22% ...

Learn how backpropagation works using automatic differentiation in Python. Step-by-step implementation from scratch. #Backpropagation #Python #DeepLearning ...

O n Tuesday, researchers at Stanford and Yale revealed something that AI companies would prefer to keep hidden. Four popular ...

Personalized algorithms can quietly limit what people explore while making them feel more certain they understand a topic.

Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

By combining AI algorithms with microcontroller based edge processing, the system claims to deliver real time and accurate ...

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 ...