Apple Core ML VS The history of UI

Apple Core ML

Integrate a broad variety of ML model types into your app

The history of UI

I've put together a screenshot gallery of how the UI has changed in the past ~30 years.

Landing page //
2023-06-13

Landing page //
2023-10-15

Apple Core ML

Website: developer.apple.com

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The history of UI

Website: history.user-interface.io

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Apple Core ML features and specs

Integration with Apple Ecosystem
Core ML is tightly integrated with Apple's hardware and software environments, providing seamless performance and ensuring that models work well across iOS, macOS, watchOS, and tvOS devices.
Performance Optimization
Core ML is optimized for on-device performance, leveraging the capabilities of Apple’s processors to deliver fast and efficient machine learning tasks without significant battery drain or latency.
Privacy
With on-device processing, Core ML allows for data privacy as it minimizes the need for sending user data to external servers, which aligns with Apple's strong privacy principles.
Ease of Use
Developers can easily integrate machine learning models into their applications using Core ML, thanks to its extensive support for various model types and the availability of conversion tools from popular ML frameworks.
Continuous Updates
Apple regularly updates Core ML to include the latest advancements and optimizations in machine learning, ensuring developers have access to cutting-edge tools.

Possible disadvantages of Apple Core ML

Platform Limitation
Core ML is designed specifically for Apple devices, which limits its use to only Apple's ecosystem and may not be suitable for applications targeting multiple platforms.
Model Size Restrictions
There are limitations on the size of models that can be deployed on-device, which can be a hindrance for applications requiring large and complex models.
Learning Curve
For developers who are new to iOS or macOS development, there might be a learning curve to effectively integrate and utilize Core ML features within their applications.
Limited Framework Support
While Core ML supports popular machine learning frameworks, not all frameworks and their full functionalities are supported, which can be restrictive for developers using niche or emerging frameworks.
Hardware Dependency
The performance and capabilities of machine learning models in Core ML heavily depend on the specific hardware of the Apple device being used, which can lead to inconsistent performance across different devices.

The history of UI features and specs

No features have been listed yet.

Apple Core ML videos

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

The history of UI videos

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Category Popularity

0-100% (relative to Apple Core ML and The history of UI)

The history of UI

9 9%

91% 91

Productivity

7 7%

Productivity

93% 93

Marketing

8 8%

Marketing

92% 92

Developer Tools

100 100%

Developer Tools

0% 0

User comments

Share your experience with using Apple Core ML and The history of UI. For example, how are they different and which one is better?

Social recommendations and mentions

Based on our record, Apple Core ML should be more popular than The history of UI. 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 / over 1 year 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 / over 1 year 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: over 2 years 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 / over 2 years 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: about 4 years ago

The history of UI mentions (2)

Ask HN: Freelancer? Seeking freelancer? (October 2023)
SEEKING WORK | Armenia | Remote | Frontend developer My Stack: VueJS 3 & Laravel. HTML/CSS/JS/git/MacOS. UI/UX competency, has written two books and active on twitter: https://twitter.com/vponamariov Github https://github.com/victor-ponamariov/ English: B2+, able to communicate verbally. Personal site: https://user-interface.io/ personal projects UI/UX related: https://history.user-interface.io/... - Source: Hacker News / about 2 years ago
Show HN: I wrote a book about forms usability
Hello. I'm a developer who wrote a book about forms. The thing is that I suffer from perfectionism. It's not "just to convince you guys that I wrote something cool". My book is pretty mediocre. However in order to write it, I rented a hotel (!) in a different country because I couldn't find a quiet place where I could do this. And spent here ~1.5 month writing it. I'm highly inspired by two guys. Those guys who... - Source: Hacker News / almost 3 years ago