Software Alternatives & Reviews

Apple Machine Learning Journal VS Ultra Hal Assistant

Compare Apple Machine Learning Journal VS Ultra Hal Assistant and see what are their differences

Apple Machine Learning Journal logo Apple Machine Learning Journal

A blog written by Apple engineers

Ultra Hal Assistant logo Ultra Hal Assistant

Zabaware is the creator of award winning artificial intelligence (AI) technology called Ultra Hal. Ultra Hal is an entertaining chatbot that learns and evolves from conversation. The more you talk to it the smarter it becomes.
  • Apple Machine Learning Journal Landing page
    Landing page //
    2022-12-13
  • Ultra Hal Assistant Landing page
    Landing page //
    2021-10-20

Apple Machine Learning Journal videos

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Ultra Hal Assistant videos

Zabaware's Ultra Hal Assistant - Official Promo Video

Category Popularity

0-100% (relative to Apple Machine Learning Journal and Ultra Hal Assistant)
AI
62 62%
38% 38
Developer Tools
84 84%
16% 16
Marketing Platform
0 0%
100% 100
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.

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
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Ultra Hal Assistant mentions (0)

We have not tracked any mentions of Ultra Hal Assistant yet. Tracking of Ultra Hal Assistant recommendations started around Mar 2021.

What are some alternatives?

When comparing Apple Machine Learning Journal and Ultra Hal Assistant, you can also consider the following products

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

Wylei - Wylei, a pioneer in Predictive AI cloud-based machine learning and marketing automation, creates & delivers real-time, personalized content.

Machine Learning Playground - Breathtaking visuals for learning ML techniques.

Recombee - Recommender system as a service that uses advanced Machine Learning and Artificial Intelligence algorithms. Easy to try and evaluate.

Lobe - Visual tool for building custom deep learning models

julia-ann - julia-ann is the implementation of backpropagation artificial neural networks in Julia that allow users to build multilayer networks and accept DataFrames as inputs.