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TechontheEdge VS Apple Machine Learning Journal

Compare TechontheEdge VS Apple Machine Learning Journal and see what are their differences

TechontheEdge logo TechontheEdge

The latest news and articles in Artificial Intelligence and Computing Technologies

Apple Machine Learning Journal logo Apple Machine Learning Journal

A blog written by Apple engineers
  • TechontheEdge Landing page
    Landing page //
    2023-07-11

TechontheEdge compiles news and articles from 1000ds of websites in Artificial Intelligence, Machine Learning, web and mobile technologies. We explore the web continuously to ensure the greatest diversity of content and optimal ranking and management of topic and keywords queries. Our web and mobile apps let you easily get up to speed with the latest in AI, freshen up your IT skills, monitor the progress of competitors, or just make sense of AI. Readers take advantage of an easy to use interface, powerful search engines and personalized newsletters.

  • Apple Machine Learning Journal Landing page
    Landing page //
    2022-12-13

Category Popularity

0-100% (relative to TechontheEdge and Apple Machine Learning Journal)
AI
17 17%
83% 83
Android
100 100%
0% 0
Developer Tools
16 16%
84% 84
Data Science And Machine Learning

User comments

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Social recommendations and mentions

Based on our record, Apple Machine Learning Journal seems to be more popular. It has been mentiond 6 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.

TechontheEdge mentions (0)

We have not tracked any mentions of TechontheEdge yet. Tracking of TechontheEdge recommendations started around Oct 2021.

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: about 1 year 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 / about 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
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