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 ...

Large language models (LLMs) deliver impressive results, but are they truly capable of reaching or surpassing human ...

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, ...

Semantic leakage occurs when a word in a prompt is later used in an LLM chat in an unsuspecting way. This can be worrisome in ...

AI initiatives don’t stall because models aren’t good enough, but because data architecture lags the requirements of agentic systems.

Meta released details about its Generative Ads Model (GEM), a foundation model designed to improve ads recommendation across ...

In a new paper from OpenAI, the company proposes a framework for analyzing AI systems' chain-of-thought reasoning to understand how, when, and why they misbehave.

The future of the field isn't less engineering but better engineering, where people focus on design, integrity and impact ...

For people, matching what they see on the ground to a map is second nature. For computers, it has been a major challenge. A ...

The modern healthcare data stack unifies patient data for real-time clinical and operational insights to improve decision-making in health systems.

A new AI model is demonstrating an unprecedented ability to anticipate human actions by interpreting visual and contextual ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.