We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

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 ...

When NASA scientists opened the sample return canister from the OSIRIS-REx asteroid sample mission in late 2023, they found ...

Apple continues to focus on AI-powered image modification, with new studies detailing evaluation frameworks and an AI model ...

Insurance companies aren't experimenting with AI. They're deploying it at scale across three critical functions that directly ...

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

In a study published in Frontiers in Science, scientists from Purdue University and the Georgia Institute of Technology ...

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 ...

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, ...

Explore the top 7 Web Application Firewall (WAF) tools that CIOs should consider in 2025 to protect their organizations from online threats and ensure compliance with emerging regulations.

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