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 ...
Frontiers

Enhancing structure-based virtual screening of MDM2–p53 inhibitors: a benchmark of machine learning vs. traditional docking scoring functions

The interaction between p53 and MDM2 represents a key therapeutic target in several cancers where MDM2 overexpression suppresses p53 activity. Despite extensive research, the discovery of potent and ...
Wired

AI Models Are Starting to Learn by Asking Themselves Questions

An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence. Save this story Save this story Even the smartest artificial intelligence ...
Frontiers

Neural networks and foundation models: two strategies for EEG-to-fMRI prediction

Electroencephalography (EEG) and functional Magnetic Resonance Imaging (fMRI) are two widely used neuroimaging techniques, with complementary strengths and weaknesses. Predicting fMRI activity from ...
Visual Studio Magazine

Aspire 13 Makes Python a First-Class Workload with .NET and JavaScript

Microsoft has added official Python support to Aspire 13, expanding the platform beyond .NET and JavaScript for building and running distributed apps. Documented today in a Microsoft DevBlogs post, ...
GitHub

using a model of type deepseek_vl_v2 to instantiate a model of type DeepseekOCR

Python: 2025-10-25 12:56:05,133 - INFO - Progress: loading - model - Loading model from cache... (25%) Python: 2025-10-25 12:56:05,133 - INFO - Loading model from cache... Python: 2025-10-25 ...
GitHub

svm-model

An automated MATLAB application for brain tumor detection and segmentation from MRI images. This project uses image processing and a Support Vector Machine (SVM) classifier to identify and highlight ...
IEEE

Design of a Generic Fault Diagnosis Model for Electrical Distribution Networks Using a Support Vector Machine (SVM) Algorithm

Abstract: This article presents the design and implementation of a generic model for fault diagnosis in electrical distribution networks, based on the Support Vector Machine (SVM) algorithm. The ...