anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a chatbot is more humanlike and aware than it actually is, like believing it's ...

File photo: Pacific Gas & Electric Company is using AI and machine learning tools to create more accurate forecasts. The ...

A research team shows that phenomic prediction, which integrates full multispectral and thermal information rather than ...

For years, the artificial intelligence industry has followed a simple, brutal rule: bigger is better. We trained models on ...

Explainable AI plays a central role in validating model behavior. Using established explainability techniques, the study examines which financial variables drive fraud predictions. The results show a ...

Microplastics, Microbes, and Water Waves: Nanopore Sequencing and Urban Environmental Sensors for Place-Based Applied Ecological Research Integrating Textual Analytics, Machine Learning, and AI ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

The IMF develops a machine-learning nowcasting framework to estimate quarterly non-oil GDP in GCC countries in real time, ...

Abstract: This research investigates the effectiveness of machine learning (ML), deep learning (DL), and statistical algorithms for forecasting rice retail prices in West Java, Indonesia. Employing ...

While some AI courses focus purely on concepts, many beginner programs will touch on programming. Python is the go-to ...

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 ...