MD wrote:pstarr wrote:Impossible Loki. I worked a potato harvester on the picking table. I rather doubt a machine could distinguish and sort a dusty potato from dusty stone. And remove it in the same split second.
That task is very doable. I could do it with a few cameras, sensors, and a pick and place arm. It's done every day now in thousands of factories all over the world.
You are over your head on this one Pete... best to back away slowly.
No, a robot must be smart enough to obey Asimov's Three Laws of Robotics but not smart enough to disobey them.MD wrote:A robot in its simplest form is a simple two-axis pneumatic or hydraulic actuator system designed to grab an object and move it to a new location.
Darn, I keep leaving off the smiley.SeaGypsy wrote:Asimov's '3 Laws' are irrelevant. Robotics is about mechanization and automation of previously manual processes. The simplest robot I can think of is a wind vane self steering system for a yacht.
Quantitative, qualitative and total sorting in Machine vision system was performed by improving images quality and extracting the best thresholds. The accuracy of total sorting was %96.823.
The average correct classification was 96.5% for a training set composed of 228 potatoes and then the algorithm was validated in another testing set composed of 182 potatoes in a real-time operation. The experiments showed that the success of in-line classification of moving potatoes was 96.2%. Concurrently, the well-shaped potatoes were classified by size achieving a 100% accuracy indicating that the developed machine vision system has a great potential in automatic detection and sorting of misshapen products.
pstarr wrote:Impossible Loki. I worked a potato harvester on the picking table. I rather doubt a machine could distinguish and sort a dusty potato from dusty stone. And remove it in the same split second.
pstarr wrote:Impossible Loki. I worked a potato harvester on the picking table. I rather doubt a machine could distinguish and sort a dusty potato from dusty stone. And remove it in the same split second.
Farms Fund Robots to Replace Migrant Fruit Pickers
As if the debate over immigration and guest worker programs wasn't complicated enough, now a couple of robots are rolling into the middle of it.
Vision Robotics, a San Diego company, is working on a pair of robots that would trundle through orchards plucking oranges, apples or other fruit from the trees. In a few years, troops of these machines could perform the tedious and labor-intensive task of fruit picking that currently employs thousands of migrant workers each season.
http://www.wired.com/science/discoveries/news/2007/06/robo_picker?currentPage=all
A Quantum Leap in Computing
Imagine a futuristic computer so powerful that it could quickly solve problems that even a supercomputer of today would need billions of years to grapple with.
With all the time in the world, do you think you could figure out what two numbers, multiplied together, make this 500-digit product? A quantum computer could—quickly.
Can't a regular computer factor a 500-digit number?
A conventional, classical digital computer could, indeed, factor a 500-digit number, but the only known methods are basically, well, let's try these two numbers and multiply them together and see if it's this big number. Let's try these other two numbers. The problem is that there are gagillions—that's a technical term—there are gagillions of numbers that could be multiplied together, and to explore all those numbers would essentially take the age of the universe on a conventional digital computer, even the biggest supercomputers.
On a quantum computer, you can actually factor these numbers very, very rapidly.
http://www.pbs.org/wgbh/nova/tech/quantum-computing.html
Welcome Robot Overlords. Please Don't Fire Us?
THIS IS A STORY ABOUT THE FUTURE. Not the unhappy future, the one where climate change turns the planet into a cinder or we all die in a global nuclear war. This is the happy version. It's the one where computers keep getting smarter and smarter, and clever engineers keep building better and better robots. By 2040, computers the size of a softball are as smart as human beings. Smarter, in fact. Plus they're computers: They never get tired, they're never ill-tempered, they never make mistakes, and they have instant access to all of human knowledge.
The result is paradise. Global warming is a problem of the past because computers have figured out how to generate limitless amounts of green energy and intelligent robots have tirelessly built the infrastructure to deliver it to our homes. No one needs to work anymore. Robots can do everything humans can do, and they do it uncomplainingly, 24 hours a day. Some things remain scarce—beachfront property in Malibu, original Rembrandts—but thanks to super-efficient use of natural resources and massive recycling, scarcity of ordinary consumer goods is a thing of the past. Our days are spent however we please, perhaps in study, perhaps playing video games. It's up to us.
Maybe you think I'm pulling your leg here. Or being archly ironic. After all, this does have a bit of a rose-colored tint to it, doesn't it? Like something from The Jetsons or the cover of Wired. That would hardly be a surprising reaction. Computer scientists have been predicting the imminent rise of machine intelligence since at least 1956, when the Dartmouth Summer Research Project on Artificial Intelligence gave the field its name, and there are only so many times you can cry wolf. Today, a full seven decades after the birth of the computer, all we have are iPhones, Microsoft Word, and in-dash navigation. You could be excused for thinking that computers that truly match the human brain are a ridiculous pipe dream.
But they're not. It's true that we've made far slower progress toward real artificial intelligence than we once thought, but that's for a very simple and very human reason: Early computer scientists grossly underestimated the power of the human brain and the difficulty of emulating one. It turns out that this is a very, very hard problem, sort of like filling up Lake Michigan one drop at a time. In fact, not just sort of like. It's exactly like filling up Lake Michigan one drop at a time. If you want to understand the future of computing, it's essential to understand this.
But plenty of people are trying to figure it out. Earlier this year, the European Commission chose two big research endeavors to receive a half billion euros each, and one of them was the Human Brain Project led by Henry Markram, a neuroscientist at the Swiss Federal Institute of Technology in Lausanne. He uses another IBM supercomputer in a project aimed at modeling the entire human brain. Markram figures he can do this by 2020.
That might be optimistic. At the same time, it also might turn out that we don't need to model a human brain in the first place. After all, when the Wright brothers built the first airplane, they didn't model it after a bird with flapping wings. Just as there's more than one way to fly, there's probably more than one way to think, too.
Google's driverless car, for example, doesn't navigate the road the way humans do. It uses four radars, a 64-beam laser range finder, a camera, GPS, and extremely detailed high-res maps. What's more, Google engineers drive along test routes to record data before they let the self-driving cars loose.
Is this disappointing? In a way, yes: Google has to do all this to make up for the fact that the car can't do what any human can do while also singing along to the radio, chugging a venti, and making a mental note to pick up the laundry. But that's a cramped view. Even when processing power and software get better, there's no reason to think that a driverless car should replicate the way humans drive. They will have access to far more information than we do, and unlike us they'll have the power to make use of it in real time. And they'll never get distracted when the phone rings.
True artificial intelligence will very likely be here within a couple of decades. By about 2040 our robot paradise awaits.
In other words, you should still be impressed. When we think of human cognition, we usually think about things like composing music or writing a novel. But a big part of the human brain is dedicated to more prosaic functions, like taking in a chaotic visual field and recognizing the thousands of separate objects it contains. We do that so automatically we hardly even think of it as intelligence. But it is, and the fact that Google's car can do it at all is a real breakthrough.
pstarr wrote:Therefore I must declare you human.
pstarr wrote:Light swords or potatoes? I accept your challenge
pstarr wrote:Impossible Loki. I worked a potato harvester on the picking table. I rather doubt a machine could distinguish and sort a dusty potato from dusty stone. And remove it in the same split second.
Rune wrote:I have had the daydream of a super-intelligent AI evaluating, analyzing, asking itself about the current state and potential of DNA-based molecular biology
pstarr wrote:
And SA, but they're fixing that:Keith_McClary wrote:vision-master wrote:Just hire one of these guy's.
Only in America.
Professionals in the kingdom, both Saudi and expatriate, say the freelance tradesmen who used to queue for odd jobs in public squares have virtually disappeared since police patrols began the strict enforcement of tough labour laws this week, rounding up thousands of illegals for deportation.
They have been forced to turn instead to authorised service companies, which charge double the rate or more to hire out electricians or plumbers.
"I had great difficulty finding a carpenter even at a higher price," complained primary school teacher Majed Hasan.
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