Machine learning models classified sex and ethnicity from nasal morphoscopic traits in 500 North Indian adults, with ...

Machine learning for Alzheimer’s disease classification achieved up to 88.1% accuracy using clinical data, but external ...

Machine learning models classified grooming, bladder management, and indoor mobility after spinal cord injury from ...

From recommendation systems to fraud detection and computer vision, applied machine learning (ML) powers many of today’s most recognizable artificial intelligence (AI) applications. While ...

Assessing Algorithmic Fairness With a Multimodal Artificial Intelligence Model in Men of African and Non-African Origin on NRG Oncology Prostate Cancer Phase III Trials Recent advances in machine ...

The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...

Hello everyone, stay safe!! This is Takachan the engineer.AI that identifies spam, AI that predicts sales, AI that ...

Early detection of lung cancer in smokers using miRNA profiles and a hybrid deep learning framework. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract does not ...

When you start learning machine learning, you encounter many terms such as "features," "loss functions," "gradient descent," ...

A strong foundation in mathematics plays a critical role in understanding artificial intelligence and adapting to ongoing technological change. Math underpins many machine learning basics, shaping how ...