Decrypt

OpenAI Says Benchmark Used to Measure AI Coding Skill Is 'Contaminated'—Here's Why

OpenAI wants to retire the leading AI coding benchmark—and the reasons reveal a deeper problem with how the whole industry measures itself.
Open Heart

Enhanced cardiovascular disease risk prediction using integrated machine learning models: a study from the UK Biobank cohort

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...
TMCnet

Data Normalization vs. Standardization: What's the Difference and When to Use Each

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
GitHub

STRIDE Threat Analysis Framework with MITRE ATT&CK Integration

This project is a Python-based, end-to-end STRIDE threat modeling and analysis framework with MITRE ATT&CK mapping. It enables you to: Based on PyTM: This framework leverages PyTM's modeling ...
IEEE

Fault Diagnosis of Photovoltaic Array Based on GOOSE-SVM Model

Abstract: To address the accuracy degradation caused by unstable parameter selection in Support Vector Machines (SVM) for photovoltaic (PV) array fault diagnosis, this paper proposes a fault diagnosis ...
GitHub

bethington/cheat-engine-server-python

This server operates in READ-ONLY mode for safety. It can read and analyze memory but cannot modify it. All operations are logged for security auditing.
IEEE

SVM Outperforms Conventional Models for Rainfall Forecasting: A Machine Learning Perspective

Abstract: Accurate predictions of rainfall are the most essential in water resources management, crop planning and disaster avoidance. The complex and nonlinear trends in the meteorological data tend ...