The study employs deep learning techniques, a subfield of machine learning, to automatically optimize computational models for tasks such as object detection, localization, and image classification.

They trained the algorithm by feeding it huge datasets — over 50,000 images — gathered as a part of PlantVillage, an open access online archive of plant photos including images of plant disease.

Researchers at Ben-Gurion University of the Negev have developed a machine-learning algorithm that could enhance our understanding of human biology and disease. The new method, Weighted Graph ...

Grain growers are using new artificial intelligence technologies to manage crop diseases and pests. Farmers hope other technologies such as drones and air monitoring will allow them to take more ...

For example, if you want to automatically detect atrial fibrillation, a common type of irregular heart rhythm, you need to tell the machine-learning algorithm what atrial fibrillation looks like.

The study employs deep learning techniques, a subfield of machine learning, to automatically optimize computational models for tasks such as object detection, localization, and image classification.