Grand Challenges For The Next 20 Years
terrapyn writes "Infoworld is reporting: 'A group of British computer scientists have proposed a number of grand challenges for IT that they hope will drive forward research, similar to the way the human genome project drove life sciences research through the 1990s.' Did they get it right? What are some other worthy computing challenges?"
A battery, a really good battery. Something that'll make my laptop last as long as my Palm. Or maybe power a light-saber... But really all we need for our dreams to come true is a good battery.
Trying to use sarcasm in text-based forums does not work.
I didn't see anything that hasn't already been proposed many times before. Also, the article was short, and the descriptions were very general and boring.
**yawn**
They're setting these as goals for the next 15 years... but who really knows what's going to happen 15 years from now? If Moore's law holds (and we have no reason to think it won't), we'll have almost 2^10 times the computing power we do today. That's a huge number!! Setting these goals is a nice idea..., but who knows what the world has in store.
I store my recipes online (the way nature intended)
We are being buried in data and are just beginning to adapt the crudest methods for organizing it and mining it. If in 20 years we have not solved the problem of dealing with giant piles of data, then IT will become a cost instead of a benefit.
What about all the fanciful things we were supposed to have "By the year 2000!"?
What a joke that turned out to be. I'm still making calls with an audio-only phone and I have yet to come across a practical hover-car.
I'm a big tall mofo.
I think we need to develop cell phones that can cook, clean, and drive my car. For $25. Oh, and I guess they need to be able to send and receive phone calls.
One man's Funny is another man's Offtopic.
Here's a challenge: A patient comes into a doctor's office with a bacterial infection. Worse, it's one of those antibiotic resistant bugs. What we need to be able to do is:
- sequence the bacteria's DNA right there in the doctor's office (this part isn't really an IT challenge)
- from the bacteria's genetics, determine which antibiotics (out of all known ones) can effectively kill it
- if none can effectively kill it, ship the DNA sequence information off to the CDC's supercomputers, and have them automatically develop a new antibiotic that will kill the bug.
I figure that this is a challenge for the next forty years, not just for the next twenty.
Come on people, we need to break the one million mark on the number of different text editors for unix based systems!
Simulated sex should be our next challenge, sex has already helped us, and will continue to help us, in pushing the limits of what's technologically possible.
Should be easy right? Never the less it has stumped slashdot editors for many many years.
Your hair look like poop, Bob! - Wanker.
Our intelligent designer has never created an animal that we couldn't improve by strapping a bomb to it.
What are some other worthy computing challenges?
;-)
Making Firefox on Linux as quick as Firefox on Windows...
Verifying compiler? Correctness proving tools? Two words - Halting Problem.
Seriously. It seems like it shouldn't be that hard, but it is. So let's solve it already!
You forgot
:).
- Get the patient to take the antibiotic all the way through
That's the crucial missing step that's let the nasty bugs get this far
You're reading Slashdot. Of course you like Linux and pc hardware
Of course, all of this assumes that human intelligence can be simulated by computation, in the classical sense. By simulation, I mean that a machine would demonstrate human-like intelligence. I don't think this is the case, but I don't see why we shouldn't pursue the brute force strategy, at least to rule it out. I don't really buy your guess on the number flops that would be necessary either, even if I assume that computation could simulate human-like intelligence. Every few years the number gets bumped up by an order of magnitude. If you look ten years ago, they were saying all we would need is 3 Tflops. Obviously, that's not true unless the problem is software-based. The real fundamental problem is that we do not even understand what intelligence is. It's hard to simulate something that you don't understand.
As for thought itself, I seriously doubt it works in the same way that a hardware simulation that you are describing would work. Think about how much energy would be required and how much heat would be generated compared to a human brain. Biology simply doesn't work in that way. Look at protein folding. It's extremely computationally intensive to determine the way a protein will fold, but biologically the process of folding is relatively simple. It's the same with thought. If we could figure out how the brain works, then we could probably simulate it with hardware that we could make now.
(That is, a good enough atomic-level brain/body simulation would still respond "don't remind me" when asked about it's last birthday, just like the human being being simulated.)
Whether anybody was home would be one for the philosophers, but such a simulation, of say a computer researcher, could work, and earn money just as well as it's original. So capitalism would pursue it. And it will rise in speed with hardware advances (which will increase correspondingly). So FOOM!
It doesn't matter which ape activates the Monolith
Intelligence, true intelligence, may not require consciousness. We don't know. Consciousness, qualia, the feeling of awareness is the aspect of mind we know least about (and most about in another way I suppose). A human-like intelligence may well be harder to achieve than another sort of intelligence, however you might decide on that. But when you get right down to it, we know that machines can be made that have human intelligence. They're called humans. Unless we resort to superstition to "explain" our intelligence and awareness it's clear that AI is in principle possible.
Why is anything anything?
Solve one, jus one, NP-Complete Problem.
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One is born into aristocracy, but mediocrity can only be achieved through hard work.