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In dentistry, image quality determines whether a claim is paid or denied. Up to 20 percent insurance claims are initially denied, with missing or low-quality images among the leading causes. Yet quality assessment has traditionally been a manual, after-the-fact process. A clinician reviews an X-ray hours or days after capture,
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Model customization transforms general-purpose AI models into specialized enterprise assets. By fine-tuning foundation models (FMs) on domain-specific data, businesses teach AI their unique workflows, terminology, and deep domain specialization, along with strict adherence to brand voice and fewer hallucinations. For enterprises, this is more than an optimization. It’s the
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When prefill and decode share a GPU, long prompts stall token generation for every concurrent request. Disaggregated Prefill and Decode (DPD) removes this interference by running each phase on separate GPU pools connected through Elastic Fabric Adapter (EFA) with Remote Direct Memory Access (RDMA). Large language model (LLM) inference has
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In this post, learn how KTern.AI, an SAP digital transformation platform, used Amazon Bedrock AgentCore to build and deploy AI agents ready for enterprise-scale SAP transformation workloads. These agents autonomously orchestrate workflows from reverse engineering, fit-to-standard, and code analysis to exception mining in Finance and Sales processes. The result
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This post was co-written with Daniel Han and Michael Han from Unsloth. Deploying large foundation models (FMs) stored at their original 16-bit floating-point precision (BF16 or FP16) is expensive. They need large GPU instances, driving up serving costs, and slowing down iteration cycles. Quantization addresses this by reducing the numerical
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An artificial intelligence (AI) agent can process an invoice, help adjudicate a claim, or classify a support ticket in a proof of concept. But running these agents across thousands or even millions of work items in a production environment introduces an entirely different set of challenges. At enterprise scale, success
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There has never been a better time to be a bug hunter, whether the goal is patching Windows or breaking into it. With AI now capable of digging up software flaws faster than any human team could manage, Microsoft has announced a sweeping overhaul of how it finds and fixes
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AI and ML Standalone experiment killed after less than 12 months as model maker redirects agentic ambitions towards workplace productivity OpenAI has decided its AI browser experiment has run its course, pulling the plug on ChatGPT Atlas less than a year after launch and moving its browser-based agent features into
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Kimi delivers impressive performance for coding, document analysis, and multi-step agentic tasks, especially considering its price point. The most powerful features require higher subscription tiers, so casual users may feel that ceiling before they hit it. Pros * +Generous free tier * +Strong coding performance * +Competitive API pricing Cons * -Agent Swarm locked
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Mistral Vibe is the most affordable premium AI assistant from a major provider right now, and its Work and Code modes make a strong case for professionals who need more than a chatbot. The free tier is too restricted to evaluate the platform properly, and the jump from Pro to
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Sponsor Posts Subquadratic: the LLM built for 12M-token reasoning — SubQ can reason across entire codebases and document sets in one pass with no RAG workarounds. Read how SubQ 1.1 Small holds near-perfect retrieval out to 12M tokens. Stop vibe coding analytics — Equals AI turns questions about your business into
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SecurityWeek’s weekly cybersecurity news roundup offers a concise overview of important developments that may not receive full standalone coverage but remain relevant to the broader threat landscape. This curated summary highlights key stories across vulnerability disclosures, emerging attack methods, policy updates, industry reports, and other noteworthy events to help
