MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...

Deep neural networks (DNNs) have become a cornerstone of modern AI technology, driving a thriving field of research in ...

Bias in AI isn’t just baked into the training data; it’s shaped by us and embedded in the broader ecosystem of human-AI interaction. This cognitive bias emerges from the dynamic interplay between ...

Deep learning and artificial intelligence are driving a transformative era in medical imaging, ushering in advanced tools for ...

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