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How Harmonic Security improved their data-leakage detection system with low-latency fine-tuned models using Amazon SageMaker, Amazon Bedrock, and Amazon Nova Pro

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This post was written with Bryan Woolgar-O’Neil, Jamie Cockrill and Adrian Cunliffe from Harmonic Security Organizations face increasing challenges protecting sensitive data while supporting third-party generative AI tools. Harmonic Security, a cybersecurity company, developed an AI governance and control layer that spots sensitive data in line as employees use AI, giving security teams the power …

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How we built a multi-agent system for superior business forecasting

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In today’s dynamic business environment, accurate forecasting is the bedrock of efficient operations. Yet, businesses across all industries grapple with the constant challenge of predicting future demand, resource needs, and market trends. Nor is this an abstract problem; the cost of miscalculation can be substantial, leading to wasted resources and missed opportunities. Imagine a large …

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Scientists reveal a tiny brain chip that streams thoughts in real time

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BISC is an ultra-thin neural implant that creates a high-bandwidth wireless link between the brain and computers. Its tiny single-chip design packs tens of thousands of electrodes and supports advanced AI models for decoding movement, perception, and intent. Initial clinical work shows it can be inserted through a small opening in the skull and remain …

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Continuously Augmented Discrete Diffusion model for Categorical Generative Modeling

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Standard discrete diffusion models treat all unobserved states identically by mapping them to an absorbing [MASK] token. This creates an ‘information void’ where semantic information that could be inferred from unmasked tokens is lost between denoising steps. We introduce Continuously Augmented Discrete Diffusion (CADD), a framework that augments the discrete state space with a paired …

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Implement automated smoke testing using Amazon Nova Act headless mode

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Automated smoke testing using Amazon Nova Act headless mode helps development teams validate core functionality in continuous integration and continuous delivery (CI/CD) pipelines. Development teams often deploy code several times daily, so fast testing helps maintain application quality. Traditional end-to-end testing can take hours to complete, creating delays in your CI/CD pipeline. Smoke testing is …

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Announcing MCP support in Apigee: Turn existing APIs into secure and governed agentic tools

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Today, we expanded Google’s support for Model Context Protocol (MCP) with the release of fully-managed, remote MCP servers, giving developers worldwide consistent and enterprise-ready access to Google and Google Cloud services. This includes support for MCP in Apigee, which makes it possible for agents to use your secure, governed APIs and custom workflows cataloged in …

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Semantic Mastery: Enhancing LLMs with Advanced Natural Language Understanding

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Large language models (LLMs) have greatly improved their capability in performing NLP tasks. However, deeper semantic understanding, contextual coherence, and more subtle reasoning are still difficult to obtain. The paper discusses state-of-the-art methodologies that advance LLMs with more advanced NLU techniques, such as semantic parsing, knowledge integration, and contextual reinforcement learning. We analyze the use …

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Real-world reasoning: How Amazon Nova Lite 2.0 handles complex customer support scenarios

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Artificial intelligence (AI) reasoning capabilities determine whether models can handle complex, real-world tasks beyond simple pattern matching. With strong reasoning, models can identify problems from ambiguous descriptions, apply policies under competing constraints, adapt tone to sensitive situations, and provide complete solutions that address root causes. Without robust reasoning, AI systems fail when faced with nuanced …

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From adoption to impact: Putting the DORA AI Capabilities Model to work

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The 2025 State of AI-assisted Software Development report revealed a critical truth: AI is an amplifier. It magnifies the strengths of high-performing organizations and the dysfunctions of struggling ones. While AI adoption is now near-universal, with 90% of developers using it in their daily workflows, success is not guaranteed. Our cluster analysis of nearly 5,000 …

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