Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...

By contrasting nematode infection with drought stress, the study highlights both the potential and limitations of remote sensing for separating ...

Adnan and colleagues evaluated machine learning models’ ability to screen for Parkinson’s disease using self-recorded smile videos. 2. The models achieved high sensitivity and specificity among ...

Banks and insurers must unify fragmented decisions to manage risk, regulation and customer expectations in real time.

Explainable AI plays a central role in validating model behavior. Using established explainability techniques, the study examines which financial variables drive fraud predictions. The results show a ...

Overview: Clear problem definitions prevent wasted effort and keep machine learning work focused.Clean, well-understood data ...

From Human Judgment to Algorithmic Intelligence Traditional driving relies on human perception, reaction time, and experience ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

Large language models (LLMs) such as GPT and Llama are driving exceptional innovations in AI, but research aimed at improving ...

Cancer researchers at the University of Tennessee Health Science Center have published three new studies demonstrating how advanced artificial intelligence and population health analytics can identify ...

ATLANTA, Dec. 16, 2025 /PRNewswire/ -- Oversight, the global leader in AI-powered spend monitoring and financial audit technology, is revolutionizing how enterprises monitor and manage financial risk ...

NetraMark Holdings Inc. (the “Company” or “NetraMark”) (CSE: AIAI) (OTCQB: AINMF) (Frankfurt: PF0) a premier artificial intelligence (AI) company that is transforming clinical trials with AI powered ...