It is not clear what you are trying to do, but RAM for a 2011 will be dirt cheap and easy to install, you can max is out very affordably. You may have 2 slots or 4 slots, 8 GB in each will be real nice if supported. (check everymac.com). Source: 9 months ago

I use the everymac.com website to compare the relative computing power of Macs. The Geekbench 5 section tells you the multicore scores to show you how much work they can do. The M1 mini is comparable to the 2020 iMac 27 with the i7-10700k CPU. Source: 11 months ago

Everymac.com is a far better resource for figuring out classic Apple product lines than Wikipedia. Source: 11 months ago

The CPU's are held on by thermal paste, just carefully twist and seperate them. Clean themup both sides with de-natured alchohol, I use Methalated spirits, and wipe of the residue. They should just slot into place. Place the heat sinks over, locating diagonal corners, and tighten lightly using diagonal screws. There used to be two types of processor about, with and without lid. A lot od older threads show the lids... Source: 11 months ago

EveryMac is the place to find out what specs your apple has and what it is worth. Source: 12 months 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: over 2 years ago