A 17-year-old student has developed TRASHbot, an AI-powered robot designed to tackle litter in public spaces. This autonomous ...

This is a release of 24 smaller BERT models (English only, uncased, trained with WordPiece masking) referenced in Well-Read Students Learn Better: On the Importance of Pre-training Compact Models. We ...

Despite ongoing speculation around an investment bubble that may be set to burst, artificial intelligence (AI) technology is here to stay. And while an over-inflated market may exist at the level of ...

In the real world, attempting to detect eyes larger than 20 pixels high and 40 pixels wide is a waste of computational resources. Rows are stratified within each label before concatenation, so both ...

Amazon’s ecosystem leverages AWS cloud services to build and deploy AI at massive scale. Below is a technical breakdown of how AI/ML works in AWS – from the core services and infrastructure to ...

Efficient Waste management plays a crucial role to ensure clean and green environment in the smart cities. This study investigates the critical role of efficient trash classification in achieving ...

Abstract: In recent years, the amount of household waste has increased sharply, and there is an urgent need to use intelligent waste classification equipment to assist in completing waste ...

Purpose: To develop a visual function-based deep learning system (DLS) using fundus images to screen for visually impaired cataracts. Materials and methods: A total of 8,395 fundus images (5,245 ...

As the demand for health grows, the increase in medical waste generation is gradually outstripping the load. In this paper, we propose a deep learning approach for identification and classification of ...