By studying large language models as if they were living things instead of computer programs, scientists are discovering some ...

These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.

O n Tuesday, researchers at Stanford and Yale revealed something that AI companies would prefer to keep hidden. Four popular ...

Personalized algorithms can quietly limit what people explore while making them feel more certain they understand a topic.

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

Unmanned surface vehicles (USVs) nowadays have been widely used in ocean observation missions, helping researchers to monitor climate change, collect environmental data, and observe marine ecosystem ...

ABSTRACT: This paper proposes a unique approach to load forecasting using a fast convergent artificial neural network (ANN) and is driven by the critical need for power system planning. The Mazoon ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Breast cancer poses a significant global health challenge, requiring improved ...

The emergence of using Machine Learning Techniques in software testing started in the 2000s with the rise of Model-Based Testing and early bug prediction models trained on historical defect data. It ...