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 ...

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

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

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

A wildfire forecasting system powered by artificial intelligence was around 30% better at identifying dangerous fire ...

A randomized controlled trial in Turkey found that high school students given unrestricted access to generative AI for math practice performed worse on later independent exams than peers without AI ...

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

A machine learning model analyzing CpG-based DNA methylation accurately predicted the origin of many different cancer types ...

Landslide risk is rising as extreme rainfall intensifies. New tools using satellite data and AI can help map where failures ...

Pushing against years of scepticism, an analysis suggests quantum computers may offer real advantages for running machine ...

Mira Murati's Thinking Machines Lab has signed a multi-billion-dollar deal with Google Cloud for AI infrastructure powered by ...

Two complementary predictors (DAAE-M and ELIE) estimate individualized 5-year progression risk using routine clinical data, ...