138 karma · joined September 16, 2014
Myth: Deep learning is more vulnerable to adversarial examples than other kind of machine learning.
Fact: So far we have been able to generate adversarial examples for every model we have tested, including simple traditional machine learning models like nearest neighbor. Deep learning with adversarial training is the most resistant technique we have studied so far.
But the larger point is that adversarial examples are just one demonstration that algorithms are still quite primitive. Nobody should be killed on the basis of a statistical algorithm alone (and to be fair, the article does not show that anyone has been).For instance, maybe your sampling ignored a particular region of the country or socioeconomic strata etc.
As a consumer though, augmented reality ( eg Hololens and Magic Leap) seems like it is about to become very big, and probably utilizes machine vision.
Can you recommend some resources for learning about web scraping?
Your description of how insurance makes money is the standard understanding. However, I would think that most products do have some underwriting gain built in as well.
It can get pretty complex as you need to set up a liability (reserve) to match the assets (premium) that come in. Interest causes both the asset and liability to increase. As benefits are paid out, both the asset and liability decrease. If the liability decreases more than the asset, you make money. Or if you have a substantial surplus (asset - liability), the interest on that is pure profit as well.
So for instance, if you are estimating the mortality rate of a 25 year old and the rate for an 85 year old you would be equally confident in each estimate if your data sample contained an equal amount of deaths for each, not an equal amount of life-years.
So while we have many days of exposure to terrorism risk, we do not have many occurrences and therefore do not have a confident estimate of the rate of major terror attacks.
Re battery dying - if I was designing a smart gun, I would have it default to a regular, usable-by-anyone gun if the power dies. That way you don't have to worry about mastermind criminals with EMP devices either.
And when you lose the ring, get a new one immediately instead of waiting for the would-be assailant to come along.
Are you currently holding the gun? If not, take off the gloves and then pick up the gun.
> if I lose the ring or it comes off
Same thing that happens if you lose your wallet or car keys. You go find it immediately or get a replacement quickly.
> girlfriend needs to grab my handgun
Hopefully they can make smart guns that can have two authorized users.
> so many ways for this to fail
Regular handguns can also fail - anyone can pick them up and shoot anyone else. Some people consider that a bug, not a feature.
Seems to me the real obstacle is the NJ law that would restrict regular gun sales once smart guns are sold, which should be revised ASAP as it gives the NRA a semi-legitimate reason to oppose the sale of smart guns.
How do the other viewpoints explain why the IEX exchange was created and designed specifically to stop HFT? That is the central narrative of the book, and in Lewis's telling it makes complete sense as a way to save the common man from the evil HFT traders. But if Lewis got it all wrong and HFT is perfectly fine, why would a completely new exchange be set up to stop it?
As far as modeling is concerned I have built extensive models using combinations of Excel/Access/VBA. Not sure what you mean by data tables - if you are referring to something like actuarial mortality tables, yes I can create those from scratch based on population data.
I've always felt that this was wishful thinking on the part of the mods. Discussions about downvotes (or completely legitimate questions as to why something was downvoted) are no more boring than hundreds of other topics discussed here every day.
a) worked in a professional setting (e.g. a large corporation) b) managed other people c) been married d) been alive since before 1980
Except that we are somehow convinced that we are sending single, indivisible photons. Why is that?
And in general - I assume these experiments have actually been done, i.e. at some point long ago someone tried this and was surprised to see that the interference happened with individual photons. Is there a write up of one of these experiments somewhere?