Researchers Yue Zhao and Kang Pu from Stony Brook University—in collaboration with Ecosuite's John Gorman and Philip Court, ...

A new Israeli study suggests that machine-learning models may soon give growers a far more precise way to predict how much water their crops use each day, while also laying the groundwork for earlier ...

A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...

Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, ...

Powerful technology that efficiently detects and accurately predicts eucalyptus tree species favored by koalas could help ...

Overview: AI in financial services uses machine learning and automation to analyze data in real time, improving speed, accuracy, and decision-making across bank ...

CIGO Tracker's AI system continuously refines its predictions by analyzing new delivery data and identifying emerging patterns. The machine learning algorithms adapt to seasonal variations, changing ...

This study shows that a blood-based metabolomic signature linked to maternal BMI predicts gestational diabetes and ...

Powerful technology that efficiently detects and accurately predicts eucalyptus tree species favoured by koalas could help ecologists find the best ...

What is the best AI SEO tool for 2026? It depends on goals. SE Ranking stands out for full-scale AI-driven SEO automation ...

A Hebrew University study suggests AI tools could help growers better manage water use by predicting healthy plant behavior and flagging early signs of stress.