The ambiguity in medical imaging can present major challenges for clinicians who are trying to identify disease. For instance ...

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Using machine learning, researchers automatically calibrate a comprehensive climate model, improving simulations of difficult features and taking steps toward more reliable climate projections.

An international team of researchers has developed BiaPy, an open-code artificial intelligence platform that facilitates the ...

Roshan Kenia presented a poster on how AI-CNet3D enhances glaucoma classification using cross-attention networks while ...

In industry, the detection of anomalies such as scratches, dents, and discolorations is crucial to ensure product quality and ...

Multimodal AI is transforming the field of artificial intelligence by combining different types of data, such as text, images ...

such as when chatbots invent incorrect facts or when image generators create seven-fingered hands. No foolproof method for preventing hallucinations currently exists. Machine Learning / A subfield of ...

An artificial intelligence (AI)-based model accurately classified pediatric sarcomas using digital pathology images alone, ...

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Recent advances in robotics and machine learning have enabled the automation ... Inspired by this gap, our goal was to develop a deep learning system that reverse-engineers knitted fabrics from images ...