A leakage-controlled multimodal machine learning study of 251 adolescents shows task-evoked fMRI features during emotional response inhibition provide the strongest discriminative signal for ...

Estimated reading time: approx. 3 minutes 30 secondsWhen researching AI, you often see the terms "machine learning" and "deep ...

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 ...

AI classification sorts data, aiding in tasks like spam detection. Two AI learner types: "lazy" for large, evolving data, "eager" for immediate sorting. In investing, classification helps identify ...

Researchers at Yazd University developed a binary version of the Puma Optimization Algorithm that achieved 91.53 percent ...

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 ...

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 = ...

AI, machine learning, and deep learning. You see these terms repeatedly in introductory materials, yet you might stumble when ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...