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 = ...

Dr. James McCaffrey from Microsoft Research presents a full-code, step-by-step tutorial on using the LightGBM tree-based system to perform binary classification (predicting a discrete variable that ...

A Zambian graduate student in the United States is developing a machine learning system designed to help African farmers ...

Ford engineers are studying whether AI can play a role in detecting faulty run-downs. To do that, they first had to determine ...

New machine learning model assigns every mortgage lead to a single, precisely defined category - eliminating mismatches and driving a 30% increase in funding rates ...

In 2026, AI research is moving from simply scaling models toward probing their fundamental limits, with benchmarks like MLRegTest revealing gaps in logical generalization and causal reasoning.

Read more about Agentic AI red teaming could become essential for securing future AI systems: Here's why on Devdiscourse ...

A new study published in Frontiers in Computer Science introduces a decentralized cybersecurity model that combines federated ...

An AI-powered blood test that analyzes DNA fragments could detect silent liver disease long before symptoms begin.

Artificial Intelligence-driven solutions aimed at transforming healthcare claims management under the Ayushman Bharat Pradhan ...

Every welfare program negotiates a fundamental tension: between fiscal responsibility and consistency on one hand, and care for real people with complex needs and situations on the other. Over the ...