The core utility of AI lies in its ability to process massive volumes of data and synthesize patterns. In ESG, models can aggregate vast, ambiguous, and often qualitative information into a single, ...

Bipolar Disorder, Digital Phenotyping, Multimodal Learning, Face/Voice/Phone, Mood Classification, Relapse Prediction, T-SNE, Ablation Share and Cite: de Filippis, R. and Al Foysal, A. (2025) ...

Over half of Americans believe tech companies should take action to restrict extremely violent content on their platforms, ...

Forests and plantations play a vital role in carbon sequestration, yet accurately monitoring their growth remains costly and labor-intensive.

Meta released details about its Generative Ads Model (GEM), a foundation model designed to improve ads recommendation across ...

Gilbert police denied Friday allegations that the department covered up crime data to make the town appear safer.

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

Researchers in Slovakia have demonstrated a machine-learning framework that predicts PV inverter output and detects anomalies using only electrical and temporal data, achieving 100% accuracy in ...

Scientists at Pompeu Fabra University (UPF) have made a great leap forward in predicting the risk of hip fracture among women ...

Abstract: Technology development has led to increased data generated in education, sparking interest in information extraction to support educational management through automated data analysis. Using ...

Classification of gas wells is an important part of optimizing development strategies and increasing the recovery. The original classification standard of gas wells in the Sulige gas field has weak ...