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

A biologically grounded computational model built to mimic real neural circuits, not trained on animal data, learned a visual categorization task just as actual lab animals do, matching their accuracy ...

The researchers behind the recent work, based in China, decided to implement something similar for an artificial skin that ...

In 2025, artificial intelligence moved from pilot projects to practical use across the U.S. military. From Army intel and ...

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write ...

In this video, we will understand Backpropagation in RNN. It is also called Backpropagation through time, as here we are ...

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

Even consciousness could reveal its secrets someday with this realistic simulation, researchers hope. It will not only ...

AI has successfully been applied in many areas of science, advancing technologies like weather prediction and protein folding ...

Neural and computational evidence reveals that real-world size is a temporally late, semantically grounded, and hierarchically stable dimension of object representation in both human brains and ...

Wolfram-like attention framing meets spiking networks: event-triggered, energy-thrifty AI that “wakes” to stimuli.

Rutgers researchers found that the distribution of neural timescales across the cortex plays a crucial role in how ...