Neutron sources can be directly identified from measured spectra rather than proxies using inference tools adapted from ...

Black-box optimization, particularly Bayesian optimization, is a practical approach for weather-intervention design, achieving meaningful rainfall ...

Seventy-eight investors say they each put $500,000 into Point Ruston and were left with financial and immigration losses.

Edge Scaling is the AI Age growth model: small, intelligent, networked nodes proximate to demand that cut waste, strengthen ...

Ask most healthcare operational leaders what their biggest technology challenge is, and the answer is rarely a missing application. More often, it’s the opposite: an excess of poorly connected ...

BayesMM proposes a training-free dynamic Bayesian distribution learning framework that models text and geometric modalities as Gaussian distributions and automatically adjusts modality weights through ...

Bayesian modelling of spatial processes provides a coherent framework for inferring complex patterns in data that vary across geographical space. Central to this approach is the specification of a ...

Adsorption is a separation process based on the transfer of a certain substance in a fluid to a solid surface with adsorbent capacity (Ruthven 1984). Due to its advantageous operational simplicity, ...

Artificial intelligence dominates today’s business agenda. From generative co-pilots to autonomous agents, organizations feel pressure to deliver visible results with AI. Yet despite billions in ...