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As artificial intelligence rapidly reshapes how organisations build products, manage risk, serve customers and run operations, the need for professionals who can design, deploy and govern intelligent ...

Discover how AI healthcare technology and machine learning diagnosis are transforming disease detection, improving accuracy, and reshaping patient care in today's evolving medical landscape.

Li, G. , Wei, G. and Xi, Z. (2026) UWB NLOS Signal Recognition Based on Deep Learning. Open Journal of Applied Sciences, 16, 779-797. doi: 10.4236/ojapps.2026.163048 .

The role of technology in optimizing ERP order processing has become increasingly important as businesses strive to improve operational efficiency and reduce costs.

Researchers evaluated four deep learning models using over 112,000 negative screening mammograms from the UK NHS to determine ...

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.

Deep learning algorithms for ultra-widefield fundus photos can identify retinal detachments with precision, supporting early diagnoses in varied settings. Deep learning (DL) models applied to ...

Unsupervised learning is a branch of machine learning that focuses on analyzing unlabeled data to uncover hidden patterns, structures, and relationships. Unlike supervised learning, which requires pre ...

AI systems are far better than people at spotting deepfake images, but when it comes to deepfake videos, humans may still have the edge. That’s the surprising twist from a new study that pits people ...

From Algorithms to Deepfakes: AI Risks Every Employer Must Confront AI enables threat actors to improve their methods, identify targets, and infiltrate hiring systems through fake resumes, deepfakes, ...

Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after ...