“The issue is that robots are really good at doing the same thing over and over again, but when a task calls for flexibility of any kind, it’s almost always easier to have a human do it.” Read more
My latest story for Vice Motherboard: Is it time to start phasing out the institution of marriage now that we’re soon going to be living indefinitely? And what are the rules with marrying robots?
Christoph Niemann Q: Is it OK to kick a robot? A: Robots: They’re just like us! Just look at them go! Exploring the ocean floor! Assembling cars! Detonating explosive devices! Vacuuming the living room! Performing surgery! I read about one, called OSHbot, that works at a hardware store in San Jose, greeting customers in five…
“Genetic improvement involves writing an automated “programmer” who manipulates the source code of a piece of software through trial and error with a view to making it work more efficiently. This might include swapping lines of code around, deleting lines and inserting new ones – very much like a human programmer. Each manipulation is then tested against some quality measure to determine if the new version of the code is an improvement over the old version. It is about taking large software systems and altering them slightly to achieve better results. Read more
Remember a few weeks back, when we learned that Google’s artificial neural network was having creepy daydreams, turning buildings into acid trips and landscapes into Magic Eye pictures? Well, prepare to never sleep again, because last week, Google made its “inceptionism” algorithm available to the public, and the nightmarish images are cropping up everywhere.
Elon Musk has donated millions to the Future of Life Institute, and now the organization is putting that money to use by funding research into keeping artificial intelligence “robust and…
Which just goes to show that you should never buy ANY form of robotics or AI software from a company that has any of the following words in it’s name: Sky, Net, Skynet, Cyberdine, and or Extermination. wink
“It has taken time for neural networks, initially conceived 50 years ago, to become accepted parts of information technology applications. After a flurry of interest in the 1990s, supported in part by the development of highly specialized integrated circuits designed to overcome their poor performance on conventional computers, neural networks were outperformed by other algorithms, such as support vector machines in image processing and Gaussian models in speech recognition.” Read more
