This could be smaller in size than the current version, but dramatically more powerful. Tipster Jon Prosser said the Mac mini this year may come with a two-tone design on a plexiglass-like top and an aluminium enclosure.

That will give the Mac mini its best performance. Powering the Mac mini Pro could be either the M1 Pro or the M1 Max chip that debuted with the MacBook Pro models last year. It will be a high-end Mac mini and that is why the speculation is that it will be called the Mac mini Pro, though some reports suggest the name could also be just the Mac mini to denote a replacement for the Intel version. That means it may finally get the Apple Silicon processor, likely M1, as the company is finally set to replace the Intel version.

Mac mini ProĪpple’s portable computer Mac mini may be in for a big overhaul. So, if the iMac Pro is not what Apple has planned for the March event, it could be one of the other two Macs. MACS is optimized for SPM12, but also compatible with SPM8.The report also said the launch of the iMac Pro may take place alongside the iPhone SE+ 5G in March - the timeline for Apple’s spring event, but refuting this claim, Ross Young, CEO of Display Supply Chain Consultants, said the launch may have been pushed back to June now. Upon starting SPM, batch modules for toolbox features can be accessed by clicking 'SPM -> Tools -> MACS Toolbox' in the SPM batch editor. To install the toolbox, it has to be downloaded and placed as a subdirectory 'MACS' into the SPM toolbox folder. A toolbox paper has been published in a peer-reviewed journal and a toolbox manual is included in the repository. The developers intend to immediately commit bug fixes to this repository and provide a general update two times a year. This is MACS V1.3, also referred to as MACS R2018b, released on. That does not mean that one will be coming in 2018 If the new Mac Pro is launched at WWDC 2019 then Phil told the truth Old UNIX Guy. MACS includes classical, information-theoretic and Bayesian methods of model assessment previously applied to GLMs for fMRI as well as recent methodological developments of model selection and model averaging in fMRI data analysis.

This toolbox (pronounced as 'Max') evaluates general linear models (GLMs) for functional magnetic resonance imaging (fMRI) data estimated in Statistical Parametric Mapping (SPM). MACS – a new SPM toolbox for model assessment, comparison and selection

New macs in 2018