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 ...

Motor imagery electroencephalography (MI-EEG) is crucial for brain-computer interfaces, serving as a valuable tool for motor ...

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) ...