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Apple Machine Learning Journal VS A.I. Experiments by Google

Compare Apple Machine Learning Journal VS A.I. Experiments by Google and see what are their differences

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Apple Machine Learning Journal logo Apple Machine Learning Journal

A blog written by Apple engineers

A.I. Experiments by Google logo A.I. Experiments by Google

Explore machine learning by playing w/ pics, music, and more
  • Apple Machine Learning Journal Landing page
    Landing page //
    2022-12-13
  • A.I. Experiments by Google Landing page
    Landing page //
    2023-09-22

Category Popularity

0-100% (relative to Apple Machine Learning Journal and A.I. Experiments by Google)

Apple Machine Learning Journal

A.I. Experiments by Google

AI
57 57%
AI
43% 43
Developer Tools
54 54%
Developer Tools
46% 46
Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
JavaScript Tools
0 0%
JavaScript Tools
100% 100

User comments

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Social recommendations and mentions

Apple Machine Learning Journal might be a bit more popular than A.I. Experiments by Google. We know about 6 links to it since March 2021 and only 5 links to A.I. Experiments by Google. 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 Machine Learning Journal mentions (6)

  • 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: 12 months ago
  • Which papers should I implement or which Projects should I do to get an entry level job as a Computer vision engineer at MAANG ?
    We even host annual poster sessions of those PhD intern’s work while at our company, and it’ll give you an idea of the caliber of work. It may not be as great as Nvidia, Stryker, Waymo, or Tesla (which are not part of MAANG but I believe are far more ahead in CV), but it’s worth of considering. Source: about 1 year ago
  • Apple’s secrecy created engineer burnout
    They have something for ML: https://machinelearning.apple.com. - Source: Hacker News / almost 2 years ago
  • [D] Is anyone working on open-sourcing Dall-E 2?
    They're more subtle about it, I think. https://machinelearning.apple.com/ Some of the papers are pretty good. I don't disagree with your sentiment in aggregate, though. Source: about 2 years ago
  • How does Apple achieve both secrecy and quality for a release?
    Siri is not where it needs to be because Apple refuses to mine user data to enrich it. They also are very hesitant to allow researchers to publish their breakthroughs which makes recruitment very hard. Although this is changing https://machinelearning.apple.com/. - Source: Hacker News / about 2 years ago
View more

A.I. Experiments by Google mentions (5)

  • I asked an A.I. language model to write a conversation between two stoners after smoking DMT
    Try this: https://experiments.withgoogle.com/collection/ai. Source: over 1 year ago
  • Google Says AI Generated Content Is Against Guidelines
    But Google has a whole set of AI writing tools - https://experiments.withgoogle.com/collection/ai So by their own definition they are producing spam? - Source: Hacker News / about 2 years ago
  • [D] Do you know any tools (libraries/frameworks) that are intuitive enough for teenagers for a practical introduction to AI?
    Https://experiments.withgoogle.com/collection/ai might also help (I haven't used this IRL). Source: over 2 years ago
  • "RTX ON" ruined public perception of the biggest gaming advancement in a decade
    It's hard to imagine you've not seen Google's doodle guessing training (or their other experiments) but it's just another example of how little information you actually need to create a recognizable image, though Canvas also shows this off, but it has the benefit of material information. Source: over 2 years ago
  • [D] Researching with no affiliations to any Universities/Academic organizations?
    To come back to your original question, as far as I'm aware anyone can publish on arxiv or researchgate. People will just tend to take you less serious. Maybe a better solution for you is something like this https://experiments.withgoogle.com/collection/ai . You already said you think your idea might be industry changing so if it truly is, I'm sure people will start noticing you. Source: almost 3 years ago

What are some alternatives?

When comparing Apple Machine Learning Journal and A.I. Experiments by Google, you can also consider the following products

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

Facebook.ai - Everything you need to take AI from research to production

Machine Learning Playground - Breathtaking visuals for learning ML techniques.

Lobe - Visual tool for building custom deep learning models

aijs.rocks - A collection of AI-powered JavaScript apps

ML5.js - Friendly machine learning for the web

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