HN user
Well, the Alcubierre drive [1] uses negative energy, but at this point it is not clear whether this type of propulsion is just a mathematical gimmick. [1] https://en.wikipedia.org/wiki/Alcubierre_drive
So what software actually uses this / what compiler supports this if it's neither supported nor documented by Apple?
Well, this would suck if you banned combustion engines state-wide. Oh wait...
And dating apps remove all ambiguity. [...] It is clear from the beginning that you are both there looking for something.
This is precisely what I find appealing. Maybe I'm just socially deficient, but I find it stressful to navigate the ambiguity of real life encounters. Especially in todays climate where unsolicited advances can get you in trouble.
Confirmed.
The sub was an insane idea by the account of all involved experts. Do you really think that being a middle aged white dude in SEA is enough to warrant pedophilia accusations?
Nowhere will a training set featuring pictures of naked children be legal.
True, but generalizing beyond the training set is precisely the point of machine learning. A good generative model will be able to produce such images, no matter how heinous the content is.
No [1], the limit is 12 weeks. Any abortion above 12 weeks is a crime (except for special cases) and the doctor can be held accountable. What you're probably referring to is the fact that the pregnant woman will not be persecuted up until 22 weeks.
Could it be the case that the US is ~30x larger than Germany?
This study suggests that the number of parameters can be significantly reduced using deeper networks, which is a consistent finding in ML research. So these results could actually help to decrease the amount of computing resources required.
To your point of on-chip analog neuromorphic training, there is some recent work with one of the same authors [1] on event-based backprop in spiking neural networks. So far they only have simulations, but this is likely an important step toward fully integrated, scalable training of SNNs on neuromorphic hardware.