A highly regarded research direction is “Physical Neural Networks” (PNNs), which utilize physical systems like light, ...

Artificial intelligence is now part of our daily lives, with the subsequent pressing need for larger, more complex models.

How AI models are getting smarter Deep neural networks are learning diffusion and other tricks ...

Reversible synaptic plasticity between sensory neurons and interneurons, switching between inhibitory and excitatory, underpins the neural basis of salt concentration memory-dependent preference ...

Co., Ltd. recently announced that its patent titled "An Intelligent Generation Method for Industrial Decision-Making Based on Neural Network Models" has been granted, with patent number CN120387030B ...

I co-created Graph Neural Networks while at Stanford. I recognized early on that this technology was incredibly powerful. Every data point, every observation, every piece of knowledge doesn’t exist in ...

Economists from HSE University have developed a neural network model that can predict the onset of a short-term stock market crisis with over 83% accuracy, one day in advance. The model performs well ...

What goes on in artificial neural networks work is largely a mystery, even to their creators. But researchers from Anthropic have caught a glimpse.

With this bat-inspired technology, the potential to locate more survivors the next time an earthquake or wildfire strikes ...

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write the code, but it's entirely from scratch in python. We will code Deep Neural ...