How To Prepare For AI’s Unprecedented Network Demands

Before jumping into the AI deep end, it’s vital to take the time to understand how your infrastructure really fits together.
Open Knowledge Repository - World Bank

Maldives: Decision Support for Coral Reef and Climate Resilience Using Bayesian Networks

The coral reef ecosystems of the Maldives are critical to the nation’s ecological integrity, economic development, and ...
IEEE

High-Confidence Classification of Partial Discharge Acoustic Signals Using Bayesian Networks for Uncertainty Quantification

Abstract: Acoustic emission (AE) detection is a nonintrusive technique for monitoring transformer conditions by capturing emissions from partial discharges (PDs), hotspots, and noise. Machine learning ...
Frontiers

AI Applications for Causal Inference in Microbiome Research: Moving Beyond Correlation.

Recent advances in microbiome science have revealed extensive associations between microbial communities and host health; however, the causal mechanisms ...
IEEE

PBGMR: A Physics-Informed Bayesian Graph Neural Network for Robust Multimodal Underwater Target Recognition

Abstract: Existing approaches for underwater autonomous target recognition (UATR) often suffer from limited accuracy and robustness due to complex underwater environments, noise interference during ...
eLife

Animacy semantic network supports causal inferences about illness

Inferring the causes of illness is a culturally universal example of causal thinking. We tested the hypothesis that making causal inferences about biological processes (e.g. illness) depends on the ...
Benzinga.com

Elon Musk's Tesla Fleet Dream—AWS On Wheels

Musk has explored a distributed AI inference approach that leverages Tesla's fleet of EVs. That means each car becomes a high-performance AI processing node when not driving. Read Next: Nvidia, Oracle ...