Sandboxed - On-Device AI for iOS cover art

Sandboxed - On-Device AI for iOS

Sandboxed - On-Device AI for iOS

Written by: Logicbridge
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About this listen

 Sandboxed is a podcast for iOS developers who want to add AI and machine learning features to their apps—without needing a PhD in ML. Each episode, we take one practical topic—like Vision, Core ML, or Apple Intelligence—and walk through how it works, what you can build with it, and how to ship it.Logicbridge
Episodes
  • Types of ML Tasks

    Types of ML Tasks
    Jan 1 2026

    Master Core ML tasks for iOS including Image Classification, Object Detection, and Regression. Learn how to choose the right machine learning approach for your Swift apps using Apple's Vision and Natural Language frameworks.
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    12 mins
  • How Machines "Learn" from Data

    How Machines "Learn" from Data
    Dec 28 2025

    Stop treating Core ML models like black boxes. Learn the mechanics of weights, biases, and loss functions through the lens of an iOS developer to build more predictable AI features.
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    14 mins
  • The ML Landscape: Cloud vs. On-Device

    The ML Landscape: Cloud vs. On-Device
    Dec 24 2025

    Cloud vs On-device AI: Choose the right architecture for your iOS app. We break down the trade-offs between API-driven intelligence and Core ML to help you avoid massive server bills and latency bottlenecks.
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    13 mins
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