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Efficacy of probiotic co-supplementation with omega-3 PUFAs on pancreatic beta-cell function in type 2 diabetes
The current understanding of the beneficial effects of probiotics in type 2 diabetes (T2D) relies on both animal and clinical data, which focus mainly on their impact on insulin resistance. The use of high-dose omega-3 polyunsaturated fatty acid (PUFA) therapy has been well tolerated in pilot trials and could have a positive effect on the… →
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MLPerf Inference v5.1 (2025): Results Explained for GPUs, CPUs, and AI Accelerators
MLPerf Inference v5.1 (2025): Results Explained for GPUs, CPUs, and AI Accelerators Understanding the Target Audience The target audience for MLPerf Inference v5.1 includes AI researchers, data scientists, IT decision-makers, and business leaders involved in AI and machine learning implementations. These professionals are typically concerned with the performance and efficiency of AI systems across various… →
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The Role of Model Context Protocol (MCP) in Generative AI Security and Red Teaming
Overview The Model Context Protocol (MCP) is an open, JSON-RPC–based standard that formalizes how AI clients (assistants, IDEs, web apps) connect to servers exposing three primitives—tools, resources, and prompts—over defined transports (primarily stdio for local and Streamable HTTP for remote). MCP’s value for security work is that it renders agent/tool interactions explicit and auditable, with… →
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Google AI Proposes ReasoningBank: A Strategy-Level I Agent Memory Framework that Makes LLM Agents Self-Evolve at Test Time
Understanding the Target Audience for ReasoningBank The target audience for Google AI’s ReasoningBank framework includes AI researchers, business leaders in technology, and software engineers interested in enhancing the capabilities of LLM (Large Language Model) agents. This audience typically consists of professionals in AI development, product management, and data science with a focus on implementing effective… →
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How to Build an Advanced Agentic Retrieval-Augmented Generation (RAG) System with Dynamic Strategy and Smart Retrieval?
How to Build an Advanced Agentic Retrieval-Augmented Generation (RAG) System with Dynamic Strategy and Smart Retrieval In this tutorial, we walk through the implementation of an Agentic Retrieval-Augmented Generation (RAG) system. This system is designed to do more than just retrieve documents; it actively decides when retrieval is needed, selects the best retrieval strategy, and… →
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Protection, Provenance, and Prompts: YouTube’s Angela Nakalembe
A chemical engineer by training, Angela Nakalembe worked in the sciences and management consulting before landing at YouTube as the company’s engineering program manager for trust and safety. At YouTube, Angela explains, AI has become a first line of defense against harmful content. The technology not only accelerates content moderation tasks but makes the process… →
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In vivo analysis of conservation of tooth structure using conventional method, loupes, and dental operating microscope — A randomized clinical trial
CONCLUSION: Magnification-assisted endodontics significantly improves the precision of access cavity preparation. While the DOM offers optimal dentin conservation and enhanced canal orifice detection, surgical loupes strike a balance between improved visualization and procedural efficiency. The integration of magnification tools in pediatric endodontics will surely enhance clinical outcomes, although practical considerations such as cost, training, and… →
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GTM 165: Vibe prompting, AI fluency, and the new rules of go-to-market | Kieran Flanagan
The GTM Podcast is available on any major directory, including: Apple Podcasts Spotify YouTube Kieran Flanagan is the SVP of Marketing at HubSpot and Co-Host of Marketing Against the Grain. A longtime operator and investor, he’s at the forefront of how AI is reshaping go-to-market. With a background in engineering and years leading growth and… →
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Zhipu AI Releases GLM-4.6: Achieving Enhancements in Real-World Coding, Long-Context Processing, Reasoning, Searching and Agentic AI
Zhipu AI Releases GLM-4.6: Achieving Enhancements in Real-World Coding, Long-Context Processing, Reasoning, Searching and Agentic AI Zhipu AI has announced the release of GLM-4.6, a significant update to its GLM series. This version focuses on agentic workflows, long-context reasoning, and practical coding tasks, aiming to enhance the user experience in real-world applications. Key Features of… →
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Health Care Professional Willingness to Treat Opioid Use Disorder vs Type 2 Diabetes in Primary Care
CONCLUSIONS AND RELEVANCE: These findings suggest that PCPs have positive attitudes toward treating OUD yet more willingness to treat type 2 diabetes in primary care. Future implementation studies are needed to support MOUD prescribing in primary care. →
