Cool. Input to developer: offer gear numbers that are co-prime (or absolute primes) to each other. Results in maximum number of circles until you return to the original point.
Cool, Thanks. To me, 4-D rotation is completely “unpredictable” or “contraintuitive”, or both. I wonder, you as a developer of that visualization, did you get an intuition for it? do you know in advance how the projection changes when you apply one or the other rotation?
Many many years ago I played a browser-based online game and I used curl and php for scripting the game. I eventually programmed an alert feature that woke me up (OS X: ‘say “Warning you are under attack”’) during the night when I was being attacked.
10.4 brought Spotlight
10.5 introduced Time Machine
10.6 cleaned everything up and added some stuff like Exchange Support. IMO the peak of Mac OS X.
From then on, Focus was put on Social Media integration and data collecting services.
Seems I‘m getting old an nostalgic.
Even worse: Sierra. Ouch. 10 years ago I used to go for every upgrade immediately (even .0’s). IMO new versions since maybe 10.8 added mostly data collecting bloat. macOS moved far away from the OS I once loved (peaked at Snow Leopard IMO). Funnily, macOS became “free” after Snow Leopard, so you’ve probably paid with your data ever since.
hehe, did the same, although not with +, but using a catch-all feature of the provider. I still get a lot of spam and phishing attempts on my „dropbox@<mydomain>“ address. I faintly remember they (dropbox) had a breach some time in the past.
I fully agree with the article. One thing not mentioned, however probably assumed to be given: domain knowledge. A domain expert using simple methods will probably beat any decent ML model because they are able to define strong features.
I always wondered how the focusing actually works. It happens „automatically“, but what is involved? Are all cone types used for the focusing, or mostly the green-type ones? Or are there even special, dedicated cells for the focusing only? Does the control ober the muscle controlling the lens shape goes via the brain, or is there a more direct mechanism?
Is there an expert around to explain or give some links to explanations?
(as a side comment: as a teenager I learned to control the focus point to a certain degree. There were these pattern-3D images, „Magic Eye“, and since the perceived depth does not correspond to the actual distance of the image, they eye needs to correct. I guess the same applies to 3D cinema, and may well cause the eye strain reported by many)
Do you have by chance instructions on how you put sierra in a VM? Which VM product do you use and how is the performance (especially GUI responsiveness)?
When looking at the clustering, I'm asking myself if a density -based clustering algorithm (looking at you DB-Scan) would be also interesting. While loosing the "center color" information, the clusters could be used to replace the color with whatever color one wanted.
Do macOS guests also work on macOS hosts in QEMU/KVM?
(e.g. run 10.12 Sierra inside qemu on a 10.14 Mojave host)
if True: any Link to a tutorial?
What about performance? Is it enough performant to run GUI Apps?
(I have tried Virtual Box but found it too slow for real work)
I can't find any information on the following questions:
Are all past versions of OS X / Apple Mail affected?
For what OS X Version does Apple provide a security update regarding this issue?
Has anyone found a fix that prevents auto-uncompression (such as a "defaults write com.apple.mail xyz False" command)?
Due to several reasons, I am also on an older Version of OS X and this issue makes me a bit nervous.
"This Destroys the RSA Cryptosystem.” is a strong claim. I only have very base knowledge of RSA cryptosystems, integer factorization and the like. Especially I'm not into the math of pn-smooth integers etc. :-)
Is there an expert here to comment on this, e.g. if this only applies to a subset of RSA parameters or if the the whole RSA-cryptosystem is affected?
A heat pump achieves a COP (coefficient of performance) of approx. 3-4 (e.g. by investing 1 kWh of electricity, a heat pump generates 3-4 kWh of heat by extracting from the surroundings, air or sole, 2-3 kWh). In this example, by pre-heating the air, you supply the heat pump with ~0.9 kWh of thermal energy (the miner will convert 900 watt directly to heat I would assume). So instead of 1 kWh of electricity consumption from the heatpump, you have 1 kWh of electricity for the heat pump, plus 0.9 kWh for the mining, and you end up with a bit more than 3-4 kWh (since the COP of a heat pump increases if the source temperature is higher).
So in a nuthsell:
before: in 1 kWh, out 3-4 kWh
after: in 1.9 kWh, out 3.5 - 4.5 kWh