Acute systemic inflammation has long been suspected to trigger harmful processes within the brain, contributing to ...

Despite the excitement surrounding generative AI, the data shows that scientific research is still powered primarily by ...

Researchers at Thomas Jefferson University have developed an automated machine learning (AutoML) model that can accurately ...

Overview: In 2025, Java is expected to be a solid AI and machine-learning language.Best Java libraries for AI in 2025 can ease building neural networks, predict ...

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 ...

An AI-driven computational toolkit, Gcoupler, integrates ligand design, statistical modeling, and graph neural networks to predict endogenous metabolites that allosterically modulate the GPCR–Gα ...

Researchers at Thomas Jefferson University have developed a groundbreaking automated machine learning (AutoML) model that can accurately differentiate between two common types of brain tumors using ...

Fraud detection is defined by a structural imbalance that has long challenged data-driven systems. Fraudulent transactions typically account for a fraction of a percent of total transaction volume, ...

A Scientific Reports study developed a pattern neural network that integrates total antioxidant status with clinical and ...

Multimodal Learning, Deep Learning, Financial Statement Analysis, LSTM, FinBERT, Financial Text Mining, Automated Interpretation, Financial Analytics Share and Cite: Wandwi, G. and Mbekomize, C. (2025 ...

Chinese smartphone and electric vehicle (EV) giant Xiaomi has released and open-sourced a new artificial intelligence model, ...

SLMs are not replacements for large models, but they can be the foundation for a more intelligent architecture.