DeepSeek researchers have developed a technology called Manifold-Constrained Hyper-Connections, or mHC, that can improve the performance of artificial intelligence models. The Chinese AI lab debuted ...

Acquiring labeled data for deep learning tasks such as medical image classification is a notoriously expensive and time-consuming process, often requiring expert-level annotation. The scarcity of high ...

Objective: To evaluate and to compare machine learning models for predicting hypertension in patients with diabetes using routine clinical variables. Methods: Using Behavioral Risk Factor Surveillance ...

OpenAI is rolling out a new version of ChatGPT Images that promises better instruction-following, more precise editing, and up to 4x faster image generation speeds. The new model, dubbed GPT Image 1.5 ...

I’ve always believed that where you live shouldn’t inform the quality of education you receive. For me, a high-quality education is not a privilege. It’s a right, and it starts in pre-K. In 2014, ...

APLR builds predictive, interpretable regression and classification models using Automatic Piecewise Linear Regression. It often rivals tree-based methods in predictive accuracy while offering ...

ABSTRACT: Atrial fibrillation (AF) is a leading cardiac arrhythmia associated with elevated mortality risk, particularly in low-resource settings where early risk stratification remains challenging.

The iPhone could soon gain support for the Model Context Protocol, a move that could make third-party AI tools more useful on Apple products than ever before. In a nutshell, MCP makes it possible for ...

Sept 19 (Reuters) - Apple (AAPL.O), opens new tab has told at least two suppliers to boost production of the entry-level model iPhone 17 by at least 30% after strong pre-orders last weekend, the ...

Japanese battery maker and Tesla supplier Panasonic is working on a breakthrough electric vehicle battery chemistry. The company is working on anode-free lithium metal batteries, which can boost ...

Introduction: Stroke remains one of the leading causes of global mortality and long-term disability, driving the urgent need for accurate and early risk prediction tools. Traditional models such as ...