A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...

Instead ChatGPT has become perhaps the most successful consumer product in history. In just over three years it has ...

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 ...

The BCTVNet neural network provides accurate and rapid target volume delineation for cervical cancer brachytherapy ...

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, ...

MiMo-V2-Flash 'particularly excels in reasoning, coding and agentic scenarios', Xiaomi says Chinese smartphone and electric ...

The study points up interpretability as a critical barrier to trust and adoption. Many AI-based cybersecurity tools function ...

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 ...

Weeds pose the most persistent and costly threat to crop production in Canada, driving widespread herbicide use and accelerating the rise of herbicide-resistant species ...

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

Despite advanced algorithms and automation, one truth remains: Effective cybersecurity requires a careful balance between ...