A study from arXiv finds that linear regression outperforms the naive random walk in forecasting the monthly USD/CAD exchange rate, while machine learning ensemble models show only marginal difference…
Watch Cortex, a threat-classification AI, runs on-agent in under 8ms without cloud calls or GPUs. The system uses a gradient-boosted decision tree ensemble for primary classification and a lightweight…
A new PDF analysis tool detects parser and representation differences in documents, using 47 forensic passes with MITRE ATT&CK mapping and LightGBM machine learning to identify exploits, tampering, an…
A developer built TrustGuard AI, a fraud detection system that catches 99.76% of fraudulent transactions on the PaySim dataset, achieving an AUC-ROC of 0.9995 and Recall of 0.9976 on a 6.3 million row…
Researchers have developed a framework combining Shapley-value attributions with large language model rationales to explain automated rubric-based scoring of teaching quality. Testing on 6,000 classro…
An arXiv preprint (arXiv:2606.03995) reports an explainable machine learning model that achieved near-perfect three-class classification of Alzheimer's disease, mild cognitive impairment, and normal c…
Researchers developed an XGBoost machine learning model using eight routine clinical features from the Alzheimer's Disease Neuroimaging Initiative dataset that achieved 94.3% accuracy and a 0.982 macr…
Researchers have introduced BOHM, a zero-cost attribution method for compound AI systems that extracts hierarchical attribution trees directly from existing routing weights. The method provides multi-…