Explores moving from trust to proof in AI governance, highlighting signed intent, scoped authorization, and data-layer controls to reduce risk and enable AI.
Microsoft has launched its Model Context Protocol (MCP) for Azure Functions, ensuring secure, standardized workflows for AI ...
Tech Xplore on MSN
Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...
The historic first image of the Messier 87 (M87) supermassive black hole, captured using the Event Horizon Telescope, has been sharped using a machine learning technique called PRIMO. PRIMO is short ...
Azure introduces public preview of user delegation SAS for Tables, Queues and Files with Entra ID. Identity-based SAS reduces reliance on storage account keys and improves cloud security posture. User ...
Deep neural networks (DNNs) have become a cornerstone of modern AI technology, driving a thriving field of research in ...
Microsoft has begun out new AI-powered incident prioritization capabilities in Microsoft Defender alongside an expanded suite of proactive incident response services, giving security teams more tools ...
BiLSTM, an ICD-11 automatic coding model using MC-BERT and label attention. Experiments on clinical records show 83.86% ...
A sociotechnical lens highlights red-teaming as a particular arrangement of human labor that unavoidably introduces human value judgments into technical systems, and can pose psychological risks for ...
AI In Aviation Market Set To Hit USD 171.53 Billion By 2033, Driven By Predictive Maintenance And Flight Operations ...
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