A sociotechnical lens highlights red-teaming as a particular arrangement of human labor that unavoidably introduces human ...
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...
The language used to describe conflicts naturally reflects assumptions about how different forms of violence emerge and develop.
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Learning from the global AI race: Why we must lead on AI governance in Africa
By Harold Kwabena FEARONArtificial intelligence is reshaping the world in profound ways, and the countries that act ...
This repository contains the full codebase developed at Helmholtz Munich for the CytoDiff project. The goal is to improve white blood cell image classification by augmenting real-world datasets with ...
Cervical cancer detection and diagnosis are undergoing a transformation with the integration of advanced deep learning (DL) technologies. Despite ...
Two University of Iowa engineers have won funding from the National Science Foundation to develop a theory that would improve ...
Dr Michele Orini shares how machine learning can help identify critical VT ablation targets for a safer, data-driven ...
Intrusion detection systems, long constrained by high false-positive rates and limited adaptability, are being re-engineered ...
Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...
WiMi Studies Quantum Hybrid Neural Network Model to Empower Intelligent Image Classification BEIJING, Jan. 15, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global ...
Seoul National University Hospital researchers have developed an AI model that predicts the response to an anticonvulsant ...
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