Binary classification is a type of image classification where you essentially train a model on two different labelled objects ...

A deep learning framework enhances medical image recognition by optimizing RNN architectures with LSTM, GRU, multimodal fusion, and CNN ...

Although deep learning–based image recognition technology is rapidly advancing, it still remains difficult to clearly explain ...

Machine learning models called convolutional neural networks (CNNs) power technologies like image recognition and language ...

A new field promises to usher in a new era of using machine learning and computer vision to tackle small and large-scale questions about the biology of organisms around the globe. A new field promises ...

Image analysis utilizing neural networks can help identify details in tissue samples which are difficult to discern by the human eye. A study demonstrated that the technique makes it possible to ...

The historic first image of the Messier 87 (M87) supermassive black hole, captured using the Event Horizon Telescope, has been sharped using a machine learning technique called PRIMO. PRIMO is short ...

Humans have struggled to make truly intelligent machines. Maybe we need to let them get on with it themselves. A little stick figure with a wedge-shaped head shuffles across the screen. It moves in a ...