Netflix Offline might be a bit more popular than Apple Core ML. We know about 10 links to it since March 2021 and only 7 links to Apple Core ML. 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.
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: over 2 years ago
Netflix seems to provide an app for Windows Laptops to watch titles offline. Chromebooks here too. https://help.netflix.com/en/node/54816 MacOS is absent, but I'm sure it's not too far off using an Google Chromebook emulator with Google Play Store in UTM if it's a must. - Source: Hacker News / 10 months ago
Netflix on moble apps allows for downloading for offline viewing Youtube also allows for offline downloads of selected videos in selected areas on mobile. Source: over 1 year ago
Get a Kill-A-Watt, or something similar and start seeing how much power those things draw. My mini fridge uses about 400 watts per day. Rather than getting a coffee pot, get a french press and a good thermos. And instead of the tv and dvd player, can you just have a couple of tablets instead? They use far less power. Netflix lets you download stuff to watch offline or you can rip those DVDs to mp4 files and copy... Source: over 1 year ago
Netflix, Hulu (and probably others) offer portions of their content offline. If you have the right subscription, you can download the titles you want ahead of time to your laptop, iPad, etc. & watch them later on your deployment w/out having to rely on wifi. Source: almost 2 years ago
Any streaming service has some hidden downsides, Netflix is no exception. For example, you don’t get to keep anything after watching it online, the video quality is limited by the bandwidth available to you at any given moment, and the watch process will be not that smooth if you have a poor connection. No matter what your reasons may be, many users tend to download the content from Netflix to devices for watching... Source: almost 2 years ago
Amazon Machine Learning - Machine learning made easy for developers of any skill level
Netflix Secret Categories - A directory of all the "secret" Netflix categories
TensorFlow Lite - Low-latency inference of on-device ML models
Never Ending Netflix - Automatically skip intros and credits 📺
Roboflow Universe - You no longer need to collect and label images or train a ML model to add computer vision to your project.
Quibi - Quick bites. Big stories.