Over the past few decades, computer scientists have developed increasingly advanced artificial intelligence (AI) systems that ...

Investigators developed and validated a deep learning-powered segmentation model to analyze inner retinal layers and improve ...

Pedestrians in downtown San Francisco are used to seeing Waymos navigating the streets. But two months ago, people in the South Park neighborhood saw something new: a Toyota Rav4 driving around with a ...

At its inaugural Ask 2026 developer conference — held inside a former church in San Francisco’s North Beach — Perplexity unveiled Personal Computer, a cloud-based AI agent designed to function as a ...

Abstract: Ensuring product quality and integrity is paramount in the rapidly evolving landscape of industrial manufacturing. Although effective to a certain degree, traditional quality control methods ...

CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...

Computer vision continues to be one of the most dynamic and impactful fields in artificial intelligence. Thanks to breakthroughs in deep learning, architecture design and data efficiency, machines are ...

Accurate and automated fruit classification plays a vital role in modern agriculture but remains challenging due to the wide variability in fruit appearances. In this study, we propose a novel ...

A deep learning system can accurately detect vision-threatening diabetic retinopathy. A dual-modality, deep learning system can accurately detect vision-threatening diabetic retinopathy (vtDR) using ...

This study introduces Popnet, a deep learning model for forecasting 1 km-gridded populations, integrating U-Net, ConvLSTM, a Spatial Autocorrelation module and deep ensemble methods. Using spatial ...

Computer vision has emerged as one of the most transformative areas of artificial intelligence, with deep learning models driving unprecedented advancements in both theoretical understanding and ...