Papers from February 15, 2026
All papers published on this date
Brittleness_Plasticity_MEO
cats: Artificial Intelligence, Field Theory, Machine Learning
We introduce Mask Evolution Operators (MEOs), activation-space mechanisms designed to stabilize neural representations during continual learning by applying lightweight restoring forces. MEOs address the fundamental stability–plasticity dilemma by controlling drift at the feature level rather than the weight level. This version clarifies the limitations of earlier pre- liminary experiments. Reported...
Pulmonary manifestations in Chronic Intestinal Bowel Diseases - an AI-Assisted narrative review
Pulmonary manifestations represent significant extra-intestinal complications of inflammatory bowel disease (IBD), yet comprehensive understanding of their prevalence, pathophysiology, and clinical characteristics remains limited. Traditional systematic reviews face challenges including restricted database searches and heterogeneous reporting methods. Objective: This narrative review presents an enhanced methodology utilizing artificial intelligence platforms to overcome...
How Strategy by AI Assessed De Beers UK: A Complete Strategic Portrait of a Company at the Crossroads
A Company That Understands Everything and Does Nothing. It is Claude AI, Models Sonnet 4,5 and Opus 4,6's brief on strategic assessment of De Beers UK produced with Strategy by AI: Professional Methodology — a structured methodology that transforms any large language model into a professional strategic analyst. The full...
Interpretable Breast Cancer Diagnosis: Comparing Logistic Regression and Random Forest
This study presents an in-depth comparative analysis of logistic regression (LR) and random forest (RF) classifiers on the Wisconsin Diagnostic Breast Cancer (WDBC) dataset. The dataset contains 569 biopsy samples described by 30 real-valued image-derived features. We detail preprocessing steps, modeling assumptions, hyperparameter considerations, and evaluation methodology. Both classifiers achieve...