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AI Lectures
Practical AI Insights
  • Agentic AI Security: Defending Against Prompt Injection and Tool Misuse
    Artificial Intelligence with Python

    Agentic AI Security: Defending Against Prompt Injection and Tool Misuse

    ByArtificial Intelligence July 17, 2026

    In this article, you will learn what prompt injection and tool misuse are in the context of agentic AI systems, and which defense strategies experts recommend to mitigate them. Topics…

    Read More Agentic AI Security: Defending Against Prompt Injection and Tool MisuseContinue

  • Fine-tune video and image models at scale with NVIDIA NeMo Automodel and 🤗 Diffusers
    Generative AI & LLMs

    Fine-tune video and image models at scale with NVIDIA NeMo Automodel and 🤗 Diffusers

    ByArtificial Intelligence July 17, 2026

    A joint post from NVIDIA and Hugging Face. Special thanks to Sayak Paul from Hugging Face for their contributions to the integration work and for co-authoring this blog. Diffusion models…

    Read More Fine-tune video and image models at scale with NVIDIA NeMo Automodel and 🤗 DiffusersContinue

  • State-of-the-Art Image Generation and Upgraded AI Coding with Mojo
    MLOps & AI Infrastructure

    State-of-the-Art Image Generation and Upgraded AI Coding with Mojo

    ByArtificial Intelligence July 17, 2026

    Today’s 26.2 release expands the Modular Platform’s modality support to include image generation and image editing workflows. This extends our existing support for text and audio generation. In the 26.2…

    Read More State-of-the-Art Image Generation and Upgraded AI Coding with MojoContinue

  • Healthcare’s Incident Response Confidence Problem
    Artificial Intelligence in HealthCare

    Healthcare’s Incident Response Confidence Problem

    ByArtificial Intelligence July 17, 2026

    T.J. Ramsey, Sr. Director, Threat Operations, Fortified Health Security A recent survey revealed a striking statistic: only 6% of healthcare cybersecurity leaders feel fully confident in their organization’s security program….

    Read More Healthcare’s Incident Response Confidence ProblemContinue

  • Pixel 10’s New Gemma Model Can Run AI Tasks Without the Cloud
    Enterprise AI & Business

    Pixel 10’s New Gemma Model Can Run AI Tasks Without the Cloud

    ByArtificial Intelligence July 17, 2026

    Your next Pixel may not need an internet connection for some of its most advanced AI features. At Google I/O Connect India 2026, Google introduced Gemma 4 E2B for TPU,…

    Read More Pixel 10’s New Gemma Model Can Run AI Tasks Without the CloudContinue

  • Retail Object Detection with Roboflow Computer Vision
    Artificial Intelligence with Python

    Retail Object Detection with Roboflow Computer Vision

    ByArtificial Intelligence July 17, 2026

    This guide builds an automated beverage shelf-monitoring system in Roboflow Workflows: an RF-DETR model detects and counts Coca-Cola, Fanta, and Sprite bottles at the shelf front, a Custom Python block…

    Read More Retail Object Detection with Roboflow Computer VisionContinue

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    Generative AI & LLMs

    Linus Torvalds tells AI critics in the Linux kernel community to fork off

    ByArtificial Intelligence July 17, 2026

    In an email to the Linux kernel mailing list, Linus Torvalds came out strongly in favor of using AI tools in Linux development. “Linux is not one of those anti-AI…

    Read More Linus Torvalds tells AI critics in the Linux kernel community to fork offContinue

  • From experiment to insight: how Dotmatics Luma and Databricks make AI-ready science a reality
    MLOps & AI Infrastructure

    From experiment to insight: how Dotmatics Luma and Databricks make AI-ready science a reality

    ByArtificial Intelligence July 17, 2026

    The gap between scientific data and scientific insight Modern scientific workflows generate data on an extraordinary scale. A single organization might run hundreds of instruments across wet labs and partner networks….

    Read More From experiment to insight: how Dotmatics Luma and Databricks make AI-ready science a realityContinue

  • Context Engineering Isn’t Enough — A Loop Engineering Experiment With No LLM Inside the Loop
    Artificial Intelligence with Python

    Context Engineering Isn’t Enough — A Loop Engineering Experiment With No LLM Inside the Loop

    ByArtificial Intelligence July 17, 2026

    The Scope: This isn’t a benchmark pitting agent frameworks against each other, nor does it claim this controller is “smarter.” It claims something narrower and much more defensible: that failure…

    Read More Context Engineering Isn’t Enough — A Loop Engineering Experiment With No LLM Inside the LoopContinue

  • The agent security gap: 54% of enterprises have already had an AI agent incident, and most still let agents share credentials
    Generative AI & LLMs

    The agent security gap: 54% of enterprises have already had an AI agent incident, and most still let agents share credentials

    ByArtificial Intelligence July 17, 2026

    Across 107 enterprises, AI agents are being given real access to systems and data while the controls meant to contain them lag behind. More than half have already had a…

    Read More The agent security gap: 54% of enterprises have already had an AI agent incident, and most still let agents share credentialsContinue

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  • Enterprise AI & Business
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  • Generative AI & LLMs
  • AI with Python
  • MLOps & AI Infrastructure
  • AI in Health