Tag: test
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Cloud Blog: Google I/O 2025: Innovation that drives mission impact
Source URL: https://cloud.google.com/blog/topics/public-sector/google-io-2025-innovation-that-drives-mission-impact/ Source: Cloud Blog Title: Google I/O 2025: Innovation that drives mission impact Feedly Summary: At Google I/O 2025 we unveiled a suite of groundbreaking AI advancements, signaling a new frontier in how technology will empower organizations everywhere. The new era of innovation is here. Over the two day event, Google showcased everything…
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Microsoft Security Blog: How to deploy AI safely
Source URL: https://www.microsoft.com/en-us/security/blog/2025/05/29/how-to-deploy-ai-safely/ Source: Microsoft Security Blog Title: How to deploy AI safely Feedly Summary: Microsoft Deputy CISO Yonatan Zunger shares tips and guidance for safely and efficiently implementing AI in your organization. The post How to deploy AI safely appeared first on Microsoft Security Blog. AI Summary and Description: Yes Summary: The text discusses…
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Cloud Blog: Create shareable generative AI apps in less than 60 seconds with Vertex AI and Cloud Run
Source URL: https://cloud.google.com/blog/products/ai-machine-learning/create-gen-ai-apps-in-less-than-60-seconds-with-vertex-ai/ Source: Cloud Blog Title: Create shareable generative AI apps in less than 60 seconds with Vertex AI and Cloud Run Feedly Summary: Want to turn your generative AI ideas into real web applications with one click? Any developer knows it’s a complex process to build shareable, interactive applications: you have to set…
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Slashdot: Researchers Warn Against Treating AI Outputs as Human-Like Reasoning
Source URL: https://tech.slashdot.org/story/25/05/29/1411236/researchers-warn-against-treating-ai-outputs-as-human-like-reasoning?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Researchers Warn Against Treating AI Outputs as Human-Like Reasoning Feedly Summary: AI Summary and Description: Yes Summary: Researchers at Arizona State University are challenging the misconception of AI language models’ intermediate outputs as “reasoning” or “thinking.” They argue that this anthropomorphization can mislead users about AI’s actual functioning, highlighting…
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Anchore: False Positives and False Negatives in Vulnerability Scanning: Lessons from the Trenches
Source URL: https://anchore.com/blog/false-positives-and-false-negatives-in-vulnerability-scanning/ Source: Anchore Title: False Positives and False Negatives in Vulnerability Scanning: Lessons from the Trenches Feedly Summary: When Good Scanners Flag Bad Results Imagine this: Friday afternoon, your deployment pipeline runs smoothly, tests pass, and you’re ready to push that new release to production. Then suddenly: BEEP BEEP BEEP – your vulnerability…