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Wednesday

  2. AWS Machine Learning

    From Data to Decisions: Building Conversational Supply Chain Intelligence with Amazon Quick and Amazon Bedrock AgentCore

    The combination of Amazon Quick and Amazon Bedrock AgentCore turns supply chain data from systems such as ERP, monitoring, and procurement into a conversational MCP tool layer, so users can get cross-system answers in natural language. In the example, a TechComp production stoppage event is assessed via assess_disruption_impact, which finds a $750K risk, 23 orders, and three days of inventory, and recommend_mitigation then chains together governance and quoting tools to generate an emergency RFQ. All changes require approval from designated personnel, and the same workflow can also be triggered to run automatically on a schedule or by email.

    Diagram showing domain expertise with business users while operational data is split across ERP, monitoring, procurement, and email systems

    The combination of Amazon Quick and Amazon Bedrock AgentCore turns supply chain data from systems such as ERP, monitoring, and procurement into a conversational MCP tool layer, so users can get cross-system answers in natural language. In the example, a TechComp production stoppage event is assessed via assess disruption impact, which finds a $750K risk, 23 orders, and three days of inventory, and recommend mitigation then chains together governance and quoting tools to generate an emergency RFQ

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    #lab#Tutorials / practice#Agents#English text is being prepared.

Tuesday

  1. ElevenLabs Blog

    How to Transcribe Podcasts with AI: A Step-by-Step Guide

    ElevenLabs has released a guide introducing a five-step process for transcribing podcasts with AI: export the audio, choose a method, upload and configure, review the output, and export the file. Its Scribe v2 supports more than 90 languages and up to 32 speakers per file; the web version has a 3GB per-file limit, and standard mode can process recordings up to 10 hours long. SRT and VTT are suited to podcast apps and subtitles, while plain text or HTML is better for websites and blogs.

    Four benefits of podcast transcripts: accessibility, search, repurposing, and archives.

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    #company#Tutorials / practice#Speech#English text is being prepared.
  5. Unite.AI

    Tsinghua Team Proposes PPMem: Using Planar Primitives to Build Persistent Memory for AI Video World Models

    A team from Tsinghua University has proposed PPMem, which replaces the previous SPMem's volumetric 3D memory with planar primitives to store explored scenes for video world models. Each planar primitive is parameterized by only 7 numbers (center depth, two rectangular extents, and a rotation quaternion), making it orders of magnitude more compact than per-pixel representations. When the camera returns to a previously visited location, the stored planes are projected back into the field of view to guide the generation of new frames, reducing the spatial information that must be retained and processed and preventing familiar objects from changing or disappearing upon revisits.

    A team from Tsinghua University has proposed PPMem, which replaces the previous SPMem's volumetric 3D memory with planar primitives to store explored scenes for video world models. Each planar primitive is parameterized by only 7 numbers (center depth, two rectangular extents, and a rotation quaternion), making it orders of magnitude more compact than per-pixel representations. When the camera returns to a previously visited location, the stored planes are projected back into the field of view t

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    #hot-signal#Papers/Research#Video#Multimodal