I don't mean "functions" in the sense of classic neuroscience, like specialized regions of the brain; I am using it as a very generic term, for lack of a better one.
959 karma · joined April 28, 2017
I don't mean "functions" in the sense of classic neuroscience, like specialized regions of the brain; I am using it as a very generic term, for lack of a better one.
It looks to me like Uber could take another PR hit, burn a $billion or more on the fallout, raise more billions, and keep on going. Have ethically motivated boycotts ever worked out, historically?
Thank you for that bit of history.
As an exercise, try translating your search queries into Arabic before searching. Then, let Google translate the results for you. It is hilarious.
If you live downhill from work, however, then the only way to use that to your advantage would be to work an evening / night shift.
Not sure what that fifth layer would be, though. It could be something as mundane as a non-stretchable structural support. Or, it could be that there is more to OLEDs than the Wikipedia article lets on.
https://en.wikipedia.org/wiki/OLED#Polymer_light-emitting_di...
As for how this would be printed, that is probably just a matter of coaxing the required layer-chemicals into a suspension that has the right consistency for their own printers. I recall an article a while ago, about some pharmaceutical researchers teaming up with HP to develop chemical print heads that spit out protein solutions, and then spit drugs onto them, in order to rapidly test millions of different concentrations. These people might even be using that same printer.
High performance, nanometer-scale silicon would obviously still have to be manufactured the classic way, because, nanometers. But, instead of buying a precious tablet, you order a ribbon of of peel & stick wafers, of commodity CPU and RAM chips. You then stick them onto a printed, flexible nv-mem + screen to enable it to compute at modern speeds.
As people get used to disposable, custom electronics, they learn that for most of what they do with a single sheet of "paper", they actually need very little computing power. Rugged, cheap, micrometer-scale CPUs make a comeback. Kids study them in grade school, using an ordinary optical microscope. IC designers start to optimize for readability. The general public begins to take responsibility for their hardware and software stack, the way they take responsibility for their vehicle and their home.
/dream
Looks to me like just about any low frequency, low power circuit is a possibility.
cat /dev/random | ./build-inline.sh | ./test-inline.sh | tee ./src/blob.c &&
git commit -Am "I have no idea how this works, but I am certain that it works perfectly, see you all on Monday!" &&
git push production master --force
When presented like this, relying on human intelligence and experience doesn't seem like such a bad thing after all.Just so we're clear, my username was not inspired by this scheme.
It is almost as if they see the success that we have had in dev/ops with the "cattle, not pets" philosophy, and want to apply that in their own field. Making the subject behave consistently and predictably, whether it is a machine or a human professional, would be a prerequisite for that.
Sun Tzu's philosophy of "taking whole", of carefully manipulating your opponent into aligning their goals with yours, is the best strategy that I can come up with. But, because of the communication barrier between us, I am unsure of how to apply it.
I reminded him that many of my own family members, people that he trusts, work in scientific endeavors; a marine biologist, for example, who has dedicated his life to the wellbeing of the various Pacific salmon species, for the sake of our food supply and forest health. He just lumped me into the second category, insisting that salmon are only managed for profit. That the funding for wild salmon research was being redirected towards improving the yield of fish farms, to the detriment of both the forests of western Canada, and to the detriment of the families and communities that live off of the wild salmon fisheries.
We don't talk much anymore. In order to convince people like this to support science, instead of attacking it, we must convince them of two things: that "real, working" scientists have a conscience, and that they have the power to follow their conscience without losing their status as real, working, scientists.
According to Wikipedia, the global energy production for 2012 was about 5.616e+20 joules, or 156 petawatt-hours. The Earth has about 1.386e+21 liters of water on it, and I will assume that that water represents the bulk of the relevant thermal mass, when considering weather patterns and sea level.
Now, let's estimate the heating caused by that energy. According to www.bickfordscience.com/03-05_State_Changes/PDF/Specific_Heat.pdf, 4,184 Joules of energy applied to 1 KG of water will raise its temperature by 1 degree Celsius, and this scales linearly with mass. Assuming that Earth-water averages out a density of 1 KG per liter, our 5.616e+20 joules, applied over a year to our 1.386e+21 liter water mass, would heat that water by 1.036e-38 degrees Celcius.
It has been a while since I've done a dimensional analysis, and the scale here are so extreme that I can't tell if my result is sensible. However, if my assumptions are reasonable and my math is correct, and the processes that I have chosen to ignore are insignificant (i.e. radiation into space over one year), then all of the heat that we release in the generation of the global energy supply, has a negligible impact on the temperature of the planet.
I just hope that they are being careful not to drill through any adamantine formations. http://dwarffortresswiki.org/index.php/DF2014:Raw_adamantine
> Haskell definitely does not have the most advanced type system (not even close if you count research languages) but out of all languages that are actually used in production Haskell is probably at the top.
What are these other research languages, that have such incredible type systems? Do they usually have implemented compilers, or would they only be described in an abstract form? Can I explore them for fun and curiosity?
background: url('data:image/svg+xml;utf8,<svg ...Graph the response of the neural network, over the range of the stimuli that you care about. This is going to be a ridiculously huge dataset, but bear with me. Then, use a genetic algorithm to evolve equations that have reasonably similar behavior, perhaps over a much smaller domain.
This collection of equations and their valid input ranges, are the raw material for your program. You would simplify them using algebraic solvers, when possible, and attempt to hand-optimize them for readability. Then, when you are done, the whole thing gets compiled down to big switch-case statement in, say, C. From here on, the process looks sort of like yacc.
So, by adding a whole new layer of magic, we get the system to explain itself in a way that a programmer could understand. Come to think of it, this feels sort of like how I do personal introspection. In fact, I'm doing it right now.