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Practical AI

Practical AI

著者: Practical AI LLC
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このコンテンツについて

Making artificial intelligence practical, productive & accessible to everyone. Practical AI is a show in which technology professionals, business people, students, enthusiasts, and expert guests engage in lively discussions about Artificial Intelligence and related topics (Machine Learning, Deep Learning, Neural Networks, GANs, MLOps, AIOps, LLMs & more). The focus is on productive implementations and real-world scenarios that are accessible to everyone. If you want to keep up with the latest advances in AI, while keeping one foot in the real world, then this is the show for you!All rights reserved
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  • Model Context Protocol Deep Dive
    2025/05/08

    In this episode, Daniel and Chris unpack the Model Context Protocol (MCP), a rising standard for enabling agentic AI interactions with external systems, APIs, and data sources. They explore how MCP supports interoperability, community contributions, and a rapidly developing ecosystem of AI integrations. The conversation also highlights some real-world tooling such as FastAPI-MCP.

    Featuring:

    • Chris Benson – Website, GitHub, LinkedIn, X
    • Daniel Whitenack – Website, GitHub, X

    Links:

    • Protocol website
    • Anthropic blog post
    • Blog post - Model Context Protocol (MCP) an overview
    • FastAPI-MCP
    • How to Use FastAPI MCP Server: A Complete Guide
    • Candle (Rust framework)


    続きを読む 一部表示
    42 分
  • Seeing beyond the scan in neuroimaging
    2025/04/30

    In this episode, we explore the intersection of AI, machine learning, and healthcare through the lens of neuroimaging and epilepsy diagnosis. Dr. Gavin Winston shares insights from his work using MRI data and machine learning to uncover subtle abnormalities in brain function. We discuss the cultural and ethical barriers to AI adoption in medicine, how predictive data analysis could transform the diagnostic workflow, and what the future holds for medical imaging in a world increasingly shaped by intelligent systems.

    Featuring:

    • Gavin Winston – LinkedIn, Website
    • Chris Benson – Website, GitHub, LinkedIn, X
    • Daniel Whitenack – Website, GitHub, X

    Links:

    • Detection of Epileptogenic Focal Cortical Dysplasia Using Graph Neural Networks: A MELD Study
    • Machine Learning in Neuroimaging across Disciplines
    • Automated and Interpretable Detection of Hippocampal Sclerosis in Temporal Lobe Epilepsy: AID-HS
    • Literature review and protocol for a prospective multicentre cohort study on multimodal prediction of seizure recurrence after unprovoked first seizure
    • Deep learning in neuroimaging of epilepsy
    • Non-parametric combination of multimodal MRI for lesion detection in focal epilepsy
    • Detection of covert lesions in focal epilepsy using computational analysis of multimodal magnetic resonance imaging data
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    43 分
  • Open source AI to tackle your backlog
    2025/04/17

    Vibe coding, agentic workflows, and AI-assisted pull requests? In this episode, Daniel and Chris chat with Robert Brennan and Graham Neubig of All Hands AI about how AI is transforming software development—from senior engineer productivity to open source agents that address GitHub issues. They dive into trust, tooling, collaboration, and what it means to build software in the era of AI agents. Whether you're coding from your laptop or your phone on a morning walk, the future is hands-free (and All Hands).

    Featuring:

    • Robert Brennan – LinkedIn, X
    • Graham Neubig – LinkedIn, X
    • Chris Benson – Website, GitHub, LinkedIn, X
    • Daniel Whitenack – Website, GitHub, X

    Links:

    • All Hands
    • All Hands on GitHub
    • All Hands on Hugging Face

    続きを読む 一部表示
    42 分

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