[Notice] This list is not being maintained anymore because of the overwhelming amount of deep learning papers published every day since 2017. A curated list of the most cited deep learning papers ...

Abstract: Despite the great progress of deep learning and target detection in recent years, the accurate detection of the occluded targets in remote sensing images still remains a challenge. In this ...

Abstract: Keypoint detection plays a fundamental role in many applications, such as 3D reconstruction, object registration, and shape retrieval, and has attracted significant interest from researchers ...

Medicine is rapidly evolving from statistical, evidence-based approaches to predictive, genotype-directed care, driven by ...

Researchers have developed a new "emotionally aware" AI-based model for classifying mental health conditions, which could ...

Key opportunities in the AI in genomics market include the increasing adoption of precision medicine, AI-driven genome ...

Handheld imaging device combines advanced optics with deep learning to enable early detection of epithelial cancers ...

An offline, point-of-care algorithm on a smartphone fundus camera generated disease-specific outputs without cloud connectivity, addressing a major deployment barrier in low-resource screening ...

Google’s Nano Banana 2 Lite shows how faster, cheaper AI image generation could reshape creative workflows and business tools. If you can only read one tech story a day, this is it. We use cookies and ...

How do the automatic turrets that destroy Russian drones work? In the future, Ukrainian unmanned ground vehicles will support ...

Explore the latest news and expert commentary on Application Security, brought to you by the editors of Dark Reading ...

It's no secret that the last few years have seen a massive explosion in the use of artificial intelligence for general information-gathering. An even more recent trend, though, is how large language ...