Abstract: We present a novel and robust deep-learning architecture that takes into account the pathological characteristics of eye diseases on color fundus images. The proposed hybrid architecture is ...

AI-Driven Visual Intelligence forms a critical cornerstone of both computer vision and artificial intelligence, serving ...

Inside Kyocera’s Future Design Lab, engineers are pushing wearable technology beyond research and into everyday life.

In the development of modern animal husbandry, the feed industry serves as a crucial material foundation, and extrusion puffing technology has become ...

Abstract: Recent advancements in deep neural networks heavily rely on large-scale labeled datasets. However, acquiring annotations for large datasets can be challenging due to annotation constraints.

A new study presents a novel approach to smart home appliance detection, using lightweight AI for high accuracy and ...

A deep learning framework enhances medical image recognition by optimizing RNN architectures with LSTM, GRU, multimodal fusion, and CNN ...

Background/aims Artificial intelligence (AI) in Ophthalmology has yet to be applied to real-time cataract surgery. This work explores a new AI tool, developed for phacoemulsification, and evaluates ...

A new 'AI manicure' promises precision and speed, but is it truly intelligent or just a high-tech beauty gimmick?

Zachery Ty Bryan, best known for his role as Brad Taylor in the family sitcom Home Improvement, is involved in another case of domestic violence following a January arrest. Speaking to an outlet on ...

Abstract: Road segmentation is a key task in remote sensing semantic segmentation, and the existing deep learning methods still have the problems of insufficient fineness, difficulty in modeling ...

Abstract: To tackle the challenge of data diversity in sentiment analysis and improve the accuracy and generalization ability of sentiment analysis, this study first cleans, denoises, and standardizes ...