A study from EPFL reveals why humans excel at recognizing objects from fragments while AI struggles, highlighting the ...

Explore 20 powerful activation functions for deep neural networks using Python! From ReLU and ELU to Sigmoid and Cosine, ...

Researchers from the University of Tokyo in collaboration with Aisin Corporation have demonstrated that universal scaling ...

Abstract: Artificial feedforward neural networks for simple objects recognition of different configurations are considered. The novel family of activation functions for neural networks intended for ...

The authors proposed two hypotheses: first, that methamphetamine induces neuroinflammation, and second, that it alters neuronal stem cell differentiation. These are valuable hypotheses, and the ...

Wearable technology has significantly increased the importance of human activity recognition (HAR), which tracks physical activities for healthcare, fitness, and computer interaction. A new model ...

This useful study presents a biologically realistic, large-scale cortical model of the rat's non-barrel somatosensory cortex, investigating synaptic plasticity of excitatory connections under varying ...

The incorporation of heterogeneous nodes can significantly enhance the catalytic and optoelectronic properties of metal–organic networks (MONs) because of the resulting uneven charge distribution and ...