As AI agents move into production, teams are rethinking memory. Mastra’s open-source observational memory shows how stable ...

Retinal detachments can be diagnosed using a deep learning-powered fundus imaging system, offering expertise to screening sites.

Ensemble integrating three architectures achieved area under the curve of 0.9208, outperforming individual models.

In 1996, IBM's Deep Blue faced off against Garry Kasparov, the greatest chess mind on Earth — and changed history.

Researchers from King Abdullah University of Science and Technology (KAUST) have developed deepBlastoid, the first deep-learning platform specifically designed for the high-throughput, automated ...

Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving classification and segmentation tasks.

This project implements a conditional Generative Adversarial Network (cGAN) for automatic grayscale image colorization, inspired by Pix2Pix. The goal is to predict chrominance (ab channels in Lab ...

Photoplethysmography (PPG) signals are widely used in wearable devices to measure physiological parameters such as heart rate [1] and blood pressure [2], or to detect cardiac conditions [3] [4].

Full imagenet dataset: fall11_whole.tar from http://www.image-net.org/download-images. We removed classes with less than 500 images. The filtered dataset contains ...

Beans are a legume that is widely grown and consumed globally, being the staple food for humans in developing countries. Nitrogen (N) is the most limiting nutrient for yield and foliar analysis is ...