The potential for these kinds of machines to reshape computer processing, increase energy efficiency, and revolutionize ...

Waterfall Network is a layer-1 protocol that implements a Directed Acyclic Graph (DAG) as its foundational ledger. A DAG is a ...

Existing three-dimensional (3D) neuronal culture technology has limitations in brain research due to the difficulty of ...

Researchers reveal how modeling the human brain’s hidden wiring could push AI beyond its current limits into human-like cognition.

Deep neural networks are at the heart of artificial intelligence, ranging from pattern recognition to large language and ...

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 ...

Neural network-assisted (NNA) Kalman filters provide an effective solution to addressing the filtering issues involving partially unknown system information by incorporating neural networks to compute ...

Recent research has employed chemical reaction networks (CRNs), which harness biochemical processes for computations that translate interactions involving biochemical species into graphical form.

By learning the relevant features of clinical images along with the relationships between them, the neural network can outperform more traditional methods.

Most examinations of neural networks’ learned latent spaces typically employ dimensionality reduction techniques such as t-distributed stochastic neighbor embedding (t-SNE) or uniform manifold ...