Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper appearing in Patterns. Though large language models ...

Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper publishing April 22 in the Cell Press ...

Artificial intelligence (AI) and machine learning (ML) systems have become central to modern data-driven decision-making. They are now widely applied in fields as diverse as healthcare, finance, ...

This article examines the work of data scientist Sai Prashanth Pathi in AI for credit risk, focusing on explainable machine ...

A former Snowflake data scientist who refined multi-billion-dollar forecasts is now building AI models that outperform Claude ...

Compare Data Scientist vs Machine Learning Engineer roles in India 2026. Explore salary, skills, career paths, and find which ...

To generate usable data, NSWCPD engineers built a controlled test environment and introduced faults such as air leaks, inlet ...

Discovering and characterizing new materials is important for unlocking advances in fields like clean energy, advanced ...

Using Python, web scraping, and advanced algorithms, the solution aggregates real-time data from marketplaces to deliver ...

Researchers have developed a new methodology that uses artificial intelligence tools to identify and count target viruses ...

Machine learning has moved past its initial experimental phase. In earlier years, development often focused on creating the ...

At HRS 2026, Dr. Song Zuo presented evidence that AI can detect atrial fibrillation with over 90% sensitivity, ...