The 3D brick approach to self-assembly at the nanoscale is based on short synthetic strands of DNA that form building blocks, which self-assemble into 100 different, precise 3D shapes such as letters and numbers. Like the models of 80 of these shapes shown here, each unique shape measures about 25 nm per side.
Rob, I think you're right about those two apps. Meanwhile, though, people in machine vision and other industries have told me, off record, they wish they had robots, not humans, working in their factories.
Companies rarely invest in more workers when they make more profits--that would generally be seen as anti-productive, since the productivity metric is usually how many dollars are brought in per worker. Unless, of course, they've decided to expand operations that need more workers. And obviously this all depends on what kind of jobs and workers we mean. But many, many companies don't want more or any human workers: they want robot workers, automated hardware, and increasingly sophisticated software. Which makes me wonder how many engineering jobs have been lost to design software--anyone know?
If the robots are to coninue their expansion, it will be at the cost of blue collar jobs. That's the ROI. The addition of smart jobs must be small in comparison to the elimination of worker jobs or the robots will not offer value. Look out China.
Yes, Ann, and it will be interesting to see the future of robots. Apparently they are paying for themselves, since implementations dont get very far in factory automation without a clear ROI. It will be interesting to see who implements the new wave of robots. I'll put my money on the suppliers in auto and aerospace.
Thanks, GTOlover. That's the point I was trying to make: what happens when low-skilled jobs are replaced by higher-skilled jobs? This sounds great--until you wonder what happens to the displaced workers. Once upon a time, there were a lot more low-skilled workers than high-skilled ones. I'd like to know what the proportions are today, in the US and elsewhere. The raw numbers in China must be huge.
I would add that the company is not a closed economic system. Those new jobs are usually a higher skill set than the workers displaced by the robots (maintenance, engineering, and programmers). Some companies 'invest' in re-training, others hire replacements that either paid for their own skills upgrade or got the taxpayer to pick up the tab. The point being, job growth of a company upgrading productivity by automation does displace lower skilled labor but enhances job growth for higher skilled workers.
So in a sense, Ann is correct that blue collar workforce is endangered by robots. If China loses work to robots, what will the billions of workers do?
Al, I think you're right about the consumer apps, at least in the beginning. But these technologies will be capable of making--and re-making!--a lot of other stuff. I know it's hard to imagine--I felt like my brain went through a painful re-orientation during the reporting of this article--but I really think it's possible, even likely.
Rob, I think those are good, and accurate, observations about the differences between automation in the past and robots now. Robots are, in one sense, Factory Automation 2.0. The industry has already gone through all the 101/1.0 pain--poor implementation and poorly designed apps, since it was all new--and learned a lot of lessons. Plus. there are many, many companies who would like to replace human workers with robots.
A recent report sponsored by the American Chemistry Council (ACC) focuses on emerging gasification technologies for converting waste into energy and fuel on a large scale and saving it from the landfill. Some of that waste includes non-recycled plastic.
Capping a 30-year quest, GE Aviation has broken ground on the first high-volume factory for producing commercial jet engine components from ceramic matrix composites. The plant will produce high-pressure turbine shrouds for the LEAP Turbofan engine.
Seismic shifts in 3D printing materials include an optimization method that reduces the material needed to print an object by 85 percent, research designed to create new, stronger materials, and a new ASTM standard for their mechanical properties.
A recent study finds that 3D printing is both cheaper and greener than traditional factory-based mass manufacturing and distribution. At least, it's true for making consumer plastic products on open-source, low-cost RepRap printers.
For industrial control applications, or even a simple assembly line, that machine can go almost 24/7 without a break. But what happens when the task is a little more complex? That’s where the “smart” machine would come in. The smart machine is one that has some simple (or complex in some cases) processing capability to be able to adapt to changing conditions. Such machines are suited for a host of applications, including automotive, aerospace, defense, medical, computers and electronics, telecommunications, consumer goods, and so on. This discussion will examine what’s possible with smart machines, and what tradeoffs need to be made to implement such a solution.