Scientists at UC Davis used artificial intelligence to help plants recognize a wider range of bacterial threats — which may ...

Researchers at the Carl R. Woese Institute for Genomic Biology are a step closer to realizing this goal by integrating machine learning-based analysis into point-of-care biosensing technologies.

People following an unhealthy plant-based diet had a 65% greater chance of elevated levels of a key heart attack biomarker, according to a new study.

Previously, S&P only had data on about 2 million SMEs, but its AI-powered RiskGauge platform expanded that to 10 million.

Leaf disease recognition has been extensively studied using various computer vision techniques, including traditional machine learning, deep learning-based CNNs and recent advancements in YOLO ...

This research explores the use of machine learning approaches for accurate identification and detection of major diseases in pulse crops, targeting improvements in early diagnosis and management of ...

Typical Azure Machine Learning Project Lifecycle (source: Microsoft). At the upcoming Visual Studio Live! @ Microsoft HQ 2025 conference in Redmond, Eric D. Boyd, founder and CEO of responsiveX, will ...

"Early detection of cognitive impairment could help us identify people who are at risk of Alzheimer's disease and intervene years before memory symptoms begin," said senior author Mark Albers, MD ...