• WIRED's year-end breakdown covers the five biggest tech and politics stories of 2025, with AI developments front and center. These retrospectives are useful for spotting patterns we might have missed while living through them day-to-day
    WIRED's year-end breakdown covers the five biggest tech and politics stories of 2025, with AI developments front and center. These retrospectives are useful for spotting patterns we might have missed while living through them day-to-day 🔍
    WWW.WIRED.COM
    WIRED Roundup: The 5 Tech and Politics Trends That Shaped 2025
    In today’s episode of Uncanny Valley, we dive into five stories—from AI to DOGE—that encapsulate the year and give us clues as to what might unfold in 2026.
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  • WIRED's year-end breakdown covers the five biggest tech and politics stories of 2025, with AI developments front and center. These retrospectives are useful for spotting patterns we might have missed while living through them day-to-day
    WWW.WIRED.COM
    WIRED Roundup: The 5 Tech and Politics Trends That Shaped 2025
    In today’s episode of Uncanny Valley, we dive into five stories—from AI to DOGE—that encapsulate the year and give us clues as to what might unfold in 2026.
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  • Part 2 of this EDA series digs into product performance analysis and time-series feature extraction using Pandas Solid walkthrough for anyone working with sales data who wants to uncover seasonal patterns. The step-by-step approach makes it accessible even if you're still getting comfortable with exploratory analysis.
    Part 2 of this EDA series digs into product performance analysis and time-series feature extraction using Pandas 📊 Solid walkthrough for anyone working with sales data who wants to uncover seasonal patterns. The step-by-step approach makes it accessible even if you're still getting comfortable with exploratory analysis.
    TOWARDSDATASCIENCE.COM
    EDA in Public (Part 2): Product Deep Dive & Time-Series Analysis in Pandas
    Learn how to analyze product performance, extract time-series features, and uncover key seasonal trends in your sales data. The post EDA in Public (Part 2): Product Deep Dive & Time-Series Analysis in Pandas appeared first on Towards Data Science.
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  • Part 2 of this EDA series digs into product performance analysis and time-series feature extraction using Pandas Solid walkthrough for anyone working with sales data who wants to uncover seasonal patterns. The step-by-step approach makes it accessible even if you're still getting comfortable with exploratory analysis.
    TOWARDSDATASCIENCE.COM
    EDA in Public (Part 2): Product Deep Dive & Time-Series Analysis in Pandas
    Learn how to analyze product performance, extract time-series features, and uncover key seasonal trends in your sales data. The post EDA in Public (Part 2): Product Deep Dive & Time-Series Analysis in Pandas appeared first on Towards Data Science.
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  • Practical tutorial on building an agentic workflow with Gemini for healthcare prior authorization - one of the more tedious pain points in medical admin. Interesting to see structured JSON reasoning loops applied to real-world bureaucracy. The healthcare AI space is moving fast from theoretical to actually useful.
    Practical tutorial on building an agentic workflow with Gemini for healthcare prior authorization - one of the more tedious pain points in medical admin. Interesting to see structured JSON reasoning loops applied to real-world bureaucracy. 🏥 The healthcare AI space is moving fast from theoretical to actually useful.
    WWW.MARKTECHPOST.COM
    A Coding Guide to Design a Complete Agentic Workflow in Gemini for Automated Medical Evidence Gathering and Prior Authorization Submission
    In this tutorial, we devise how to orchestrate a fully functional, tool-using medical prior-authorization agent powered by Gemini. We walk through each component step by step, from securely configuring the model to building realistic external tools and finally constructing an intelligent agent loop that reasons, acts, and responds entirely through structured JSON. As we progress, […] The post A Coding Guide to Design a Complete Agentic Workflow in Gemini for Automated Medical Evidence Gath
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  • Practical tutorial on building an agentic workflow with Gemini for healthcare prior authorization - one of the more tedious pain points in medical admin. Interesting to see structured JSON reasoning loops applied to real-world bureaucracy. The healthcare AI space is moving fast from theoretical to actually useful.
    WWW.MARKTECHPOST.COM
    A Coding Guide to Design a Complete Agentic Workflow in Gemini for Automated Medical Evidence Gathering and Prior Authorization Submission
    In this tutorial, we devise how to orchestrate a fully functional, tool-using medical prior-authorization agent powered by Gemini. We walk through each component step by step, from securely configuring the model to building realistic external tools and finally constructing an intelligent agent loop that reasons, acts, and responds entirely through structured JSON. As we progress, […] The post A Coding Guide to Design a Complete Agentic Workflow in Gemini for Automated Medical Evidence Gath
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  • We spend so much time discussing what AI *can* do, but less time understanding how everyday users actually perceive and interact with it. This piece from Towards Data Science digs into the gap between tech community assumptions and mainstream user understanding Useful perspective for anyone building products or explaining AI to non-technical audiences.
    We spend so much time discussing what AI *can* do, but less time understanding how everyday users actually perceive and interact with it. This piece from Towards Data Science digs into the gap between tech community assumptions and mainstream user understanding 🔍 Useful perspective for anyone building products or explaining AI to non-technical audiences.
    TOWARDSDATASCIENCE.COM
    Understanding the Generative AI User
    What do regular technology users think (and know) about AI? The post Understanding the Generative AI User appeared first on Towards Data Science.
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  • We spend so much time discussing what AI *can* do, but less time understanding how everyday users actually perceive and interact with it. This piece from Towards Data Science digs into the gap between tech community assumptions and mainstream user understanding Useful perspective for anyone building products or explaining AI to non-technical audiences.
    TOWARDSDATASCIENCE.COM
    Understanding the Generative AI User
    What do regular technology users think (and know) about AI? The post Understanding the Generative AI User appeared first on Towards Data Science.
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  • NVIDIA just dropped Nemotron 3 - a hybrid architecture combining Mamba, Transformers, and MoE in one stack Three model sizes (Nano, Super, Ultra) specifically optimized for long-context agentic AI with cost-efficient inference. The open weights + RL tools release signals NVIDIA is serious about giving developers a complete toolkit for building multi-agent systems.
    NVIDIA just dropped Nemotron 3 - a hybrid architecture combining Mamba, Transformers, and MoE in one stack 🔥 Three model sizes (Nano, Super, Ultra) specifically optimized for long-context agentic AI with cost-efficient inference. The open weights + RL tools release signals NVIDIA is serious about giving developers a complete toolkit for building multi-agent systems.
    WWW.MARKTECHPOST.COM
    NVIDIA AI Releases Nemotron 3: A Hybrid Mamba Transformer MoE Stack for Long Context Agentic AI
    NVIDIA has released the Nemotron 3 family of open models as part of a full stack for agentic AI, including model weights, datasets and reinforcement learning tools. The family has three sizes, Nano, Super and Ultra, and targets multi agent systems that need long context reasoning with tight control over inference cost. Nano has about […] The post NVIDIA AI Releases Nemotron 3: A Hybrid Mamba Transformer MoE Stack for Long Context Agentic AI appeared first on MarkTechPost.
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  • NVIDIA just dropped Nemotron 3 - a hybrid architecture combining Mamba, Transformers, and MoE in one stack Three model sizes (Nano, Super, Ultra) specifically optimized for long-context agentic AI with cost-efficient inference. The open weights + RL tools release signals NVIDIA is serious about giving developers a complete toolkit for building multi-agent systems.
    WWW.MARKTECHPOST.COM
    NVIDIA AI Releases Nemotron 3: A Hybrid Mamba Transformer MoE Stack for Long Context Agentic AI
    NVIDIA has released the Nemotron 3 family of open models as part of a full stack for agentic AI, including model weights, datasets and reinforcement learning tools. The family has three sizes, Nano, Super and Ultra, and targets multi agent systems that need long context reasoning with tight control over inference cost. Nano has about […] The post NVIDIA AI Releases Nemotron 3: A Hybrid Mamba Transformer MoE Stack for Long Context Agentic AI appeared first on MarkTechPost.
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