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Fritz

  • Product Development
  • 2 Case Studies
Optimize, deploy, and manage machine learning on every mobile device and platform.

Mar 25

Automating an AI to find the shortest route using reinforcement learning

This is an implementation using the concepts of Q-Learning, which I covered in a previous blog post providing a high-level overview of reinforcement learning (RL). To help demonstrate these…

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Mar 30

How ARKit 3.5 Enables Immersive Augmented Reality Experiences on iOS

Augmented reality (AR) is all the rage these days, with AR-based apps becoming better each day. And now, with the release of the new iPad Pro with a LiDAR scanner and the latest version of the ARKit…

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Mar 30

Exploring user behavior in Android with Google Analytics for Firebase

As a mobile developer, getting user feedback on what features to implement next and what areas to improve upon in your app is an essential part of the development process. And this is true not just…

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Mar 27

Core ML On-Device Training, with Transfer Learning from Swift for TensorFlow Models

As a first small step towards a federated learning platform that supports mobile and wearable devices (in particular, devices within the Apple ecosystem) I’ve being developing a Swift library called…

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Case Studies
Case Study : Mdacne - Custom Acne Treatment

Help everyone get clear skin with the world's first fully customized acne treatment kit.

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Case Study : Plantvillage Nuru

Help African smallholder farmers grow more food.

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