Real-time object detection, which uses neural networks and deep learning to rapidly identify and tag objects of interest in a video feed, is a handy feature with great hacker potential. Happily, it’s ...

A lab has developed a deep neural network that improves the accuracy of their unique devices for detecting pathogen biomarkers. Sophisticated systems for the detection of biomarkers -- molecules such ...

What are convolutional neural networks in deep learning? Convolutional neural networks are used in computer vision tasks, which employ convolutional layers to extract features from input data.

What is Intelligent Image Processing. Intelligent Image Processing is an important branch of computer vision, aimed at enabling computers to 'understand' images like humans do, by ...

The core of AI image detection lies in computer vision and neural networks. Through these technologies, machines can 'learn' how to recognize patterns and objects in images just like humans. Initially ...

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...

Binary digits and circuit patterns forming a silhouette of a head. Neural networks and deep learning are closely related artificial intelligence technologies. While they are often used in tandem, ...

Altuna Akalin and his team at the Max Delbrück Center have developed a new tool to more precisely guide cancer treatment. Described in a paper published in “Nature Communications,” the tool, called ...