Science

Few-shot neuromorphic vision in a nonlinear photonic network laser

With the growing prevalence of artificial intelligence (AI), demand increases for hardware that mimics the brain’s ability to ...

Neural networks reveal how experience shapes learning in both brains and machines

A new study has used a type of machine learning called a neural network to reveal how different kinds of training can change ...

Beyond the map: Adaptive AI model reduces ionospheric modeling errors by up to 85%

A new adaptive model directly addresses this by learning to correct signal delays in four dimensions, promising a leap forward for high-precision navigation and space weather monitoring. Traditional ...
IEEE

Robust Bayesian Dynamic Graph Embedding via Contrastive Learning

Abstract: Dynamic network representation learning seeks to create low-dimensional node embeddings that capture both the structural and temporal evolution patterns of networks. While Bayesian deep ...
Frontiers

Generation and evaluation of adaptive explanations based on dynamic partner-modeling and non-stationary decision making

Adapting to the addressee is crucial for successful explanations, yet poses significant challenges for dialog systems. We adopted the approach of treating explanation generation as a non-stationary ...
science

In vivo multiplex imaging of dynamic neurochemical networks with designed far-red dopamine sensors

GPR45 modulates Gα s at primary cilia of the paraventricular hypothalamus to control food intake Neurochemical signals, including neurotransmitters, neuromodulators, and intracellular signaling ...
Frontiers

Pruning Bayesian networks for computationally tractable multi-model calibration

Anomaly response in aerospace systems increasingly relies on multi-model analysis in digital twins to replicate the system’s behaviors and inform decisions. However, computer model calibration methods ...
IEEE

Dynamic Bayesian Network Modeling of Component-Level Radiation Effects’ Impact on System Performance

Abstract: Awareness of the impact of component-level radiation response on the system is challenging. This article discusses the radiation response of a power supply system by combining the power ...