Cambridge, MA — In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its ...

Your hand may be quietly revealing a deadly hormonal disorder, and AI is now better at reading it than specialist doctors.

Indore: In a breakthrough that could improve early cancer detection and make screening more accessible, researchers at ...

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 ...

Gates, who turned 70 on October 28, has previously denied any connections to Epstein's vile sex trafficking ring and confessed he "foolish to spend any time with him" at all. The tech billionaire said ...

This project uses computer vision to predict PSA (Professional Sports Authenticator) grades (1-10) for collectible cards by analyzing both front and back images. The model achieves 0.76 Quadratic ...

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 ...

Deep learning models have become indispensable in medical image analysis, particularly for detecting and classifying ocular diseases. Automated diagnostic systems are promising to improve accuracy and ...

Lithology identification is crucial for characterizing complex unconventional reservoirs, where thin interlayers significantly influence hydrocarbon accumulation. Although deep learning-based methods ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Figure 1 illustrates the overall workflow of the hyperspectral ...