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 ...

Roaring over long distances is a key behaviour of lions. They communicate within prides as well as with other animals using distinct sequences of moans and grunts. Scientists from the GAIA Initiative ...

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

Simulating how atoms and molecules move over time is a central challenge in computational chemistry and materials science.

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

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

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

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