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Apple Core ML VS Google Home

Compare Apple Core ML VS Google Home and see what are their differences

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Apple Core ML logo Apple Core ML

Integrate a broad variety of ML model types into your app

Google Home logo Google Home

Set up, manage, and control your Chromecast, Chromecast Audio and Google Home devices.
  • Apple Core ML Landing page
    Landing page //
    2023-06-13
  • Google Home Landing page
    Landing page //
    2018-10-07

Apple Core ML videos

+ Add

IBM Watson & Apple Core ML Collaboration - What it means for app development

Google Home videos

+ Add

Google Home Review: Assistant in a Box!

More videos:

  • Review - Google Home Review | 3 Years Later
  • Review - Google Home Mini Review: Smart Home for $49?

Category Popularity

0-100% (relative to Apple Core ML and Google Home)

Apple Core ML

Google Home

Developer Tools
100 100%
Developer Tools
0% 0
Home
0 0%
Home
100% 100
AI
100 100%
AI
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100

User comments

Share your experience with using Apple Core ML and Google Home. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Apple Core ML seems to be more popular. It has been mentiond 7 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Apple Core ML mentions (7)

  • Ask HN: Where is Apple? They seem to be left out of the AI race?
    On the machine learning side of AI, they have CoreML. You can drag-and-drop images into Xcode to train an image classifier. And run the models on device, so if solar flares destroy the cell phone network and terrorists bomb all the data centers, your phone could still tell you if it's a hot dog or not. https://developer.apple.com/machine-learning/ https://developer.apple.com/machine-learning/core-ml/... - Source: Hacker News / 4 months ago
  • The Magnitude of the AI Bubble
    Apple has actually created ML chipsets, so AI can be executed natively, on-device. https://developer.apple.com/machine-learning/. - Source: Hacker News / 5 months ago
  • Does anyone else suspect that the official iOS ChatGPT app might be conducting some local inference / edge-computing? [Discussion]
    For your reference, Apple's pages for Machine Learning for Developers and for their research. The Apple Neural Engine was custom designed to work better with their proprietary machine learning programs -- and they've been opening up access to developers by extending support / compatibility for TensorFlow and PyTorch. They've also got CoreML, CreateML, and various APIs they are making to allow more use of their... Source: about 1 year ago
  • Apple to occupy 90% of TSMC 3nm capacity in 2023
    > It’d be one thing if Apple actually worked on AI softwares a bit and made it readily available to developers. * Apple Silicon CPUs have a Neural Engine specifically made for fast ML-inference * Apple supports PyTorch (https://developer.apple.com/metal/pytorch/) * Apple has its own easily accessible machine-learning framework called Core-ML (https://developer.apple.com/machine-learning/) So it would be inaccurate... - Source: Hacker News / about 1 year ago
  • The iPhone 13 is a pitch-perfect iPhone 12S
    This is the developer documentation where they advertise the APIs - https://developer.apple.com/machine-learning/. Source: almost 3 years ago
View more

Google Home mentions (0)

We have not tracked any mentions of Google Home yet. Tracking of Google Home recommendations started around Mar 2021.

What are some alternatives?

When comparing Apple Core ML and Google Home, you can also consider the following products

Amazon Machine Learning - Machine learning made easy for developers of any skill level

Home-Assistant.io - Home Assistant is an open-source home automation platform running on Python 3.

TensorFlow Lite - Low-latency inference of on-device ML models

ioBroker - flexible and modular application for the IoT and Smarthome

Roboflow Universe - You no longer need to collect and label images or train a ML model to add computer vision to your project.

openHAB - "empowering the smart home" - vendor and technology agnostic open source home automation

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