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 ...
Insurance companies aren't experimenting with AI. They're deploying it at scale across three critical functions that directly ...
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How brain-inspired algorithms could drive down AI energy costs
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 essential incident management tools tailored for CIOs in 2025, focusing on AI automation, downtime reduction, and improved operational efficiency. Uncover their features, pricing, and ...
The study points up interpretability as a critical barrier to trust and adoption. Many AI-based cybersecurity tools function ...
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 BCTVNet neural network provides accurate and rapid target volume delineation for cervical cancer brachytherapy ...
New types of sensors can generate environmental data in real time using a range of tools, including flexible, printed ICs and ...
Sweat is no longer just about workouts. With AI and smart sensors, it could help detect diabetes, stress and even early signs ...
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