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

Recent research has employed chemical reaction networks (CRNs), which harness biochemical processes for computations that ...

For decades, scientists have looked to light as a way to speed up computing. Photonic neural networks—systems that use light ...

A research team at KAIST has identified the core gene expression networks regulated by key proteins that fundamentally drive phenomena such as cancer development, metastasis, tissue differentiation ...

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

A new study reveals that inhibitory neurons born later in development mature more quickly than earlier ones, allowing them to catch up and integrate evenly into neural networks.

GREmLN leverages a graph-based architecture to represent gene-gene interactions to predict cell behavior for therapeutic applications.

Spin-wave networks may unlock energy-efficient AI computing. Discover the tech reshaping hardware demands for greener AI.

Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...