New data shows how AI models are reshaping B2B brand hierarchies through rapid month-to-month shifts in unaided recall.

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

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, ...

The technique, called DiffProtect, quietly rewrites a person’s face in a photograph using the same generative technology ...

Data is extracted from African populations, African languages are absorbed into global training corpora, and African problems ...

Artificial intelligence is starting to do more than transcribe what we say. By learning to read the brain’s own electrical ...

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

Ask five mortgage professionals to define “MISMO,” and you’re likely to hear five different answers …Data format.Investor ...

Meta Platforms Inc.’s Mark Zuckerberg, months into building one of the priciest teams in technology history, is getting ...

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

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