Podknife - So you have an AI model, now what? (Practical AI #24) by Changelog Master Feed

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So you have an AI model, now what? (Practical AI #24)

Podcast |: Changelog Master Feed
Publisher |: Changelog Media
Media Type |: audio
Podknife tags |: Business,; Entrepreneurship,; Interview,; Master Feeds,; Software How-To,; Tech News,; Technology,; Web Development
Categories Via RSS |: Technology
Publication Date |: Dec 10, 2018
Episode Duration |: 00:39:54

Description
Content Encoded

***Fully Connected** – a series where Chris and Daniel keep you up to date with everything that’s happening in the AI community.* This week we discuss all things inference, which involves utilizing an already trained AI model and integrating it into the software stack. First, we focus on some new hardware from Amazon for inference and NVIDIA's open sourcing of TensorRT for GPU-optimized inference. Then we talk about performing inference at the edge and in the browser with things like the recently announced ONNX JS.

Fully Connected – a series where Chris and Daniel keep you up to date with everything that’s happening in the AI community.

This week we discuss all things inference, which involves utilizing an already trained AI model and integrating it into the software stack. First, we focus on some new hardware from Amazon for inference and NVIDIA’s open sourcing of TensorRT for GPU-optimized inference. Then we talk about performing inference at the edge and in the browser with things like the recently announced ONNX JS.

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Featuring:

Chris Benson – Twitter, GitHub, LinkedIn, Website
Daniel Whitenack – Twitter, GitHub, Website

Show Notes:

News:

NVIDIA’s open sourcing of TensorRT
Amazon launches america-amazon-launches-machine-learning-chip-taking-on-nvidia-intel.html">a machine learning chip
The recently announced ONNX JS project
Snapdragon Neural Processing Engine SDK

Learning resources:

Something missing or broken? ai-24.md">PRs welcome!

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