Background Patients with severe aortic stenosis (AS) are at high risk of mortality, regardless of symptom status. Despite ...

Learn how gradient descent really works by building it step by step in Python. No libraries, no shortcuts—just pure math and code made simple.

Learn how to implement SGD with momentum from scratch in Python—boost your optimization skills for deep learning.

Python 3.14 was the star of the show in 2025, bringing official support for free-threaded builds, a new all-in-one installation manager for Windows, and subtler perks like the new template strings ...

This repository contains a comprehensive machine learning project that systematically evaluates 8 different algorithms for predicting mitochondrial membrane potential (MMP) toxicity using the Tox21 ...

Abstract: We propose a soft gradient boosting framework for sequential regression that embeds a learnable linear feature transform within the boosting procedure. At each boosting iteration, we train a ...

Early Risk Signals: Credit Card Delinquency Watch - AI-powered predictive analytics for proactive credit risk management. Machine learning models (Random Forest & Gradient Boosting) analyze behavioral ...

When Americans can’t afford something, Washington loves to help buyers and ignore producers. Politicians might feel as if they are improving affordability, but the strategy creates a vicious cycle: ...

Increasing domestic oil and gas production is a top US Department of Energy priority in an effort to win the artificial intelligence race, Assistant Secretary of Fossil Energy Kyle Haustveit said on ...

NVIDIA introduces CuTe DSL to enhance Python API performance in CUTLASS, offering C++ efficiency with reduced compilation times. Explore its integration and performance across GPU generations. NVIDIA ...

ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...