deckard1 Posted October 26, 2022 Share Posted October 26, 2022 Just curious why my computer (13" MacBook Pro (2022) M2 with 8GB RAM) is listed as having 8 cores on Apple's website, yet, only shows 4 cores in Logic? Quote Link to comment Share on other sites More sharing options...
Solution analogika Posted October 26, 2022 Solution Share Posted October 26, 2022 If you dig into the tech specs, you’ll find that four of those cores are „Performance“ cores, and four are „Efficiency“ cores. In other words, four of them are super-low-power, intended for keeping basic idle tasks and system processes running without having to keep the heavy-iron performance cores fired up all the time. All of the heavy lifting is done on the other four cores, which are only powered up when the need arises. This is one of the reasons these machines achieve such insane battery life. 1 Quote Link to comment Share on other sites More sharing options...
deckard1 Posted October 26, 2022 Author Share Posted October 26, 2022 (edited) 58 minutes ago, analogika said: If you dig into the tech specs, you’ll find that four of those cores are „Performance“ cores, and four are „Efficiency“ cores. In other words, four of them are super-low-power, intended for keeping basic idle tasks and system processes running without having to keep the heavy-iron performance cores fired up all the time. All of the heavy lifting is done on the other four cores, which are only powered up when the need arises. This is one of the reasons these machines achieve such insane battery life. Very good to know. Also, battery life is amazing on this computer. Thanks for explaining!!! 👍 What does Apple mean by 16-core neural engine? Edited October 26, 2022 by deckard1 1 Quote Link to comment Share on other sites More sharing options...
des99 Posted October 26, 2022 Share Posted October 26, 2022 29 minutes ago, deckard1 said: What does Apple mean by 16-core neural engine? The M system-on-chips have dedicated silicon for processing/speeding up AI/machine-learning tasks - that's what that is. 1 Quote Link to comment Share on other sites More sharing options...
conanthewarrior Posted October 26, 2022 Share Posted October 26, 2022 9 hours ago, des99 said: The M system-on-chips have dedicated silicon for processing/speeding up AI/machine-learning tasks - that's what that is. I am really behind with the times, but what is "machine learning"? My M1 Pro MBP isn't going to turn into sky net is it? Quote Link to comment Share on other sites More sharing options...
des99 Posted October 26, 2022 Share Posted October 26, 2022 41 minutes ago, conanthewarrior said: I am really behind with the times, but what is "machine learning"? Quote Machine learning (ML) is a field of inquiry devoted to understanding and building methods that 'learn', that is, methods that leverage data to improve performance on some set of tasks.[1] It is seen as a part of artificial intelligence. Machine learning algorithms build a model based on sample data, known as training data, in order to make predictions or decisions without being explicitly programmed to do so.[2] Machine learning algorithms are used in a wide variety of applications, such as in medicine, email filtering, speech recognition, and computer vision, where it is difficult or unfeasible to develop conventional algorithms to perform the needed tasks. https://en.wikipedia.org/wiki/Machine_learning It's a very useful tool that's letting computers do some incredible things, so having dedicated silicon speeds these processes up significantly... 3 Quote Link to comment Share on other sites More sharing options...
MikeRobinson Posted October 26, 2022 Share Posted October 26, 2022 (edited) A fairly simple example of "machine learning" is – thanks to a one "Dr. Kurzweil," whose name you might recall from music synthesizers – the present ability of your phone to "take dictation," instead of requiring you to manually type-in your text messages. You may have also noticed that it magically seems to adapt to the various words and phrases that you commonly use, "becoming more accurate with time." Many decades ago, a too-well funded defense project for "Russian-to-English translation" (back when we had no available computer-power whatsoever ...) produced the following now-comical result: "The spirit is willing but the flesh is weak" ... became ... "The wine is acceptable but the meat has spoiled." The conundrum of the computer programmers of that time, aside from the fact that they possessed far less computing power than you could expect from a cigarette lighter today, is that there was no (known) if...then...else strategy to get from one place to the other. Edited October 26, 2022 by MikeRobinson 2 Quote Link to comment Share on other sites More sharing options...
analogika Posted October 27, 2022 Share Posted October 27, 2022 It's also used in video and photo analysis, and it might prove useful for audio analysis — being able to search your sample archive for "clangy groove" for example, and having the machine come back with useful results, seems like a given — eventually. 1 Quote Link to comment Share on other sites More sharing options...
analogika Posted November 2, 2022 Share Posted November 2, 2022 FWIW, Logic 10.7.5 includes updates to Smart Tempo which make use of machine learning to interpret tempo information. Hadn’t thought of that use case, but it’s here today, literally. 1 Quote Link to comment Share on other sites More sharing options...
Recommended Posts
Join the conversation
You can post now and register later. If you have an account, sign in now to post with your account.