Based on our record, Inno Setup should be more popular than Apple Core ML. It has been mentiond 46 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.
I’ve had to do this before and it some what sucks but if you do have a look at Inno Setup. Source: 6 months ago
Use Inno Setup. It's comparably sized, VSCode uses it and GOG.com uses customized builds of it (it's open-source but written in Delphi), and it has a much more declarative (though still extensible) approach that does do stuff like uninstall tracking by default. Source: about 1 year ago
We eventually settled on a combination of InnoSetup with InnoSetuo Dependency Installer and NetSparkle which offered a much cleaner experience and use of AzureAD Authentication for Azure Storage Blobs (for updates) as well as InTune Deployments with proper version detection. Source: about 1 year ago
You don't typically make these things yourself from scratch, you use a tool that does it for you. E.g. InnoSetup: https://jrsoftware.org/isinfo.php. Source: about 1 year ago
The two most popular such installers are Inno Setup and NSIS. Inno is much easier to use (and will handle most tasks automatically), while NSIS creates somewhat smaller installers (but requires you to basically micromanage everything). Source: about 1 year ago
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 / 3 months ago
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
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
> 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
This is the developer documentation where they advertise the APIs - https://developer.apple.com/machine-learning/. Source: almost 3 years ago
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