Scientists are trying to tame the chaos of modern artificial intelligence by doing something very old fashioned: drawing a ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

For enterprises racing to integrate AI, one barrier keeps resurfacing no matter how quickly the technology advances: hallucinations. A recent Bain & Company report found that output quality remains a ...

Manufacturing technologies have been the first domain to experience this transformation. The review documents how artificial ...

Connecting the dots: By applying machine learning techniques to satellite imagery, researchers have built an unprecedented database of man-made structures across the globe. The data could reshape ...

Machine Learning (ML) algorithms have revolutionized various domains by enabling data-driven decision-making and automation. The deployment of ML models on embedded edge devices, characterized by ...

Machine Learning (ML) and Deep Learning (DL) models are increasingly deployed in critical domains such as computer vision, Natural Language Processing (NLP), Automatic Speech Recognition (ASR), ...

This map depicts the predicted types of soil in Tokyo with an unprecedented level of detail. Such maps are essential for urban planning and earthquake risk assessment, as they reveal areas that are ...

ABSTRACT: Doping is an issue associated with elite sports as athletes attempt to enhance their performance to gain an edge over other athletes. However, the prevalence of doping is continuously ...

Wave enables rapid prototyping of new optimization ideas and algorithms through its high-level abstractions and symbolic programming model. Kernel authors can quickly express complex tensor operations ...