661–670 of 947 posts
Yourself. One of the most complex areas, having lots of users, that need to be fixed, is human beings. Spend all your time to know who you are, why you are like that, and change this world starting from the most promising thing it has on it: you. In the meantime, try to carry out activities that you like (ride your bike, walk alone or with real people). Do it disconnected from any device or social network. Do things…
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Rebranded nihilism. The trend of positivity focused, directionless hedonism seeking self actualization is no better than lying around drinking all day or addicted to opiates. Find something outside yourself to be devoted to. Do the hard work to determine what that is, test and iterate. Happiness is a side effect of a job well done, not a goal.
I'd love to know why you think you know what's better or worse for a stranger on the internet. Have you discovered objective reality that completely accounts for every subjective experience of every human being and can conclusively prove what is better or worse? My, those foolish philosophers and scientists can finally retire - Andrew Kemendo has arrived, we just need to listen and do as he/she says.
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I'd love to know why you think you know what's better or worse for a stranger on the internet. Have you discovered objective reality that completely accounts for every subjective experience of every human being and can conclusively prove what is better or worse? My, those foolish philosophers and scientists can finally retire - Andrew Kemendo has arrived, we just need to listen and do as he/she says.
You're going off half-cocked and it's embarrassing.
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> I don't blame them either. Why would you do home health when you can get similar pay working at a factory, warehouse, or, even, fast food. My mother was a nurse for years in the aged care sector. The pay for a qualified nurse is actually pretty good (I would still argue it should be higher for the work, but it was well above average). Homecare aids (or AIN/care assistants as they were called here) are paid horribly…
We are at a turning point in society right now because of all the things you address. In the last few decades have seen a rapid shift in the willingness of family members to look after their elderly. There's a few reasons for this, the biggest I think is the ageing population. When your parents need care at 85 years old, and you are 60 looking at retiring soon (or perhaps can't retire and need to work for another 7 y…
And surely this is a sign of people's laziness, rather than increasing costs of living relative to wages... Rent, student debt, randomly allocated medical debt, ageing parents with caretakers to pay... These things add up. Minimum wage work just moves you backwards; probably better to take a risk on further schooling to get something that pays realistically.
Why build a massive services organization when you can enable and finance a takeover by a multitude of smaller players?
Residential PV installs are becoming more and more common so consumers are looking for smart devices to take advantage of them more efficiently. If you are grid-tied without a battery (batteries like the Powerwall take much longer than a PV install to pay back, so the payback time is often greater than the warranty period) you want to use the energy at peak generation rather than selling it to the grid (which typical…
https://www.youtube.com/watch?v=glSXghzDZcs&feature=youtu.be...
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People are already encouraged to get procedures or medications they don't need. A data set isn't going to change that.
Not to mention quarter of a million dead per year due to medical errors. If we could even just reduce the number of medical errors by 10 percent, that'd be HUGE. Source: https://www.cnbc.com/2018/02/22/medical-errors-third-leading... Unfortunately, it's a multi-trillion dollar industry with insanely entrenched and deep pocketed players, and the old boy network the likes of which us software people can't even imagine.…
The only way to truly guarantee no medical errors is to replace every agent in a hospital with a machine.
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Man this is me. Knowing a bit of coding and machine learning in engineering has been such a boon over my career in civil/environmental engineering. But it's like math, if you know it well enough, you'll find ways to use it everywhere. If you don't, you won't. You have to be the type of person that likes to innovate. Its hard to sell to prospective employers, but its great for demonstrating value once you are with an…
How much machine learning have you been able to pick up and did you learn formally (in school) or just on your own? It's a broad subject, so where would you recommend one begin, assuming I have a decent undergrad math background? Thanks!
Formally from school, I've only had 3 semesters of scientific programming in Fortran and a shitload of math. That and years and years of building models and massaging data in Excel.
Mostly I'm just really used to learning a new API/tool and applying it to new things.
A lot of the ML stuff hasn't been fancy ML, just basic things but applied in really clever and novel ways.
To borrow a term from Microsoft, "Intelligent Edge." With the shift to the cloud, we are finding there are still many scenarios that should start local for latency, bandwidth, or legal considerations. Organizations still want those scenarios to be easy to manage though. An example might be in store retail analytics- a set up with a bunch of cameras that can detect what people are touching or otherwise interested in.…
>An example might be in store retail analytics- a set up with a bunch of cameras that can detect what people are touching or otherwise interested in. Because the one thing desperately needed in this world is even more surveillance?
One, perhaps naive, hope I have for edge based technologies is to enable scenarios that are actually more private. In my scenario, if the processing of the video stays at the edge and only anonymized or aggregated information is sent up to the cloud/ larger organization, then is much better then if the video is shipped offsite and processed.
It’ll take some interesting legislative efforts to really frame this well, but the Europeans (and the state or Illinois with their facial recognition law?) at least seem to be headed that way.
Maybe this is not the answer you're looking for: but I think CRISPR-Cas9 seems like the most exciting technology probably in all of science. It's a system that can be used to literally change the DNA of living creatures, and on top of that it's highly accessible. Think of the hacker culture today and now imagine the same rate of change for biological engineering. We'll have massive libraries of re-usable "components"…
I tend to agree. However, having spoken at length about this with a friend doing her PhD, there are a few major problems between now and then.
- Scope: if you thought Big Data (relating to human behavior) was a massive endeavor (still very much not solved, not by a long shot), try genetics. We're talking orders of magnitude Bigger Data. We have the PoC but finding practical solutions remains a hard problem as we speak (needle in a haystack).
- Money: Bio-sectors don't pay software engineers enough to compete with the tech sector (almost no one does), and bio-experts are generally not good enough at it. So there's a huge lack in terms of dual [SE skills + domain knowledge] experts for this category of problems. Research funding is massive in big (private) pharma and comparably non-existent in basic research — and for now, CRISPR-Cas9 is mostly the latter.
The first problem (resources) will probably solve itself as time goes by (assuming some Moore's Law continuation however it's done), however the second problem (domain / education politics? Idk how to call it) could virtually be forever — academia and big pharma aren't exactly known for being fast movers or innovators, let alone disruptors. Especially when CRISPR-Cas9 is a direct threat to well-established revenues in the trillions — curing whatever is much less profitable than selling drugs to ease symptoms over a lifetime.
If this sounds like somptuous irony, it's probably because it is.