A new technical paper titled “A Case for Hypergraphs to Model and Map SNNs on Neuromorphic Hardware” was published by ...

Blockchain could make smart devices far more secure, but sluggish data sharing has held it back. Researchers found that messy network connections cause massive slowdowns by flooding systems with ...

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of uncertainty.

For a project in Bangladesh, Prof. Mushfiq Mobarak and his team used machine-learning models applied to mobile phone records ...

In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method ...

According to Fateh Kaakai, a researcher in trustworthy AI at Thales cortAIx Labs and co-author of the study, the answer is ...

In the field of multi-objective evolutionary optimization, prior studies have largely concentrated on the scalability of objective functions, with relatively less emphasis on the scalability of ...

Abstract: Medium-scale expensive multiobjective optimization problems (EMOPs) present a significant challenge to most existing surrogate-assisted evolutionary algorithms (SAEAs). Because the ...

Soil moisture is a critical variable for understanding and managing water resources, especially in the context of climate change. Existing satellite soil moisture products typically offer spatial ...

The ability to monitor soil moisture at high resolutions is crucial for improving agricultural productivity, water resource management, and environmental forecasting. The upcoming NASA-ISRO SAR (NISAR ...