The selective breeding of grain crops is one of the main reasons why domesticated plants produce such excellent yields. Selecting the best candidates for breeding is, however, a remarkably complex ...

In a recent study published in Nature Medicine, researchers developed the medical concept retriever (MONET) foundation model, which connects medical pictures to text and evaluates images based on ...

Researchers have created a deep learning method to analyze social media images taken within protected green spaces to gain insights on human activity distribution as a way to monitor the ecological ...

Artificial intelligence (AI) is increasingly prevalent, integrated into phone apps, search engines and social media platforms ...

Electroencephalography (EEG) is a fascinating noninvasive technique that measures and records the brain's electrical activity. It detects small electrical signals produced when neurons in the brain ...

Subscribe to our newsletter for the latest sci-tech news updates. Rice panicle counting has historically relied on detection-, density-, or location-based methods. However, detection models struggle ...

Canon has developed new deep learning algorithms that can correct all known image defects. In a new paper, released in Japanese on Canon's global website, the company has unveiled a new deep learning ...

An international research team has developed a novel PV fault detection method based on deep learning of aerial images. The proposed methodology utilizes the convolutional neural network (CNN) ...