Toggle light / dark theme

Growing Pains for Deep Learning — Chris Edwards | Communications of the ACM

“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

Why Send Humans to Space When We Can Send Robots? — Daniel Oberhaus | Motherboard

“The first marketable, personal computers in the late 70s came about after almost 40 years of research and development, which created the technology at public expense. One of the peculiarities, if you’d like, of our system of innovation and development is that it’s radically anti-capitalist in many ways…People who paid taxes in the 50s and 60s may not have known it, but they were creating what was ultimately marketed by Apple. But they don’t get any of the profit. I think that’s a social pathology and the same carries over into space.” Read more

Kurzweil Responds to ‘When Robots Are Everywhere, What Will Humans Be Good For?’ — By David J. Hill

Lately, media around the web has been bracing for robots — not time-traveling robots per se, but robot workers. Specifically, the increased sophistication of artificial intelligence and improved engineering of robotics has spurred a growing concern about what people are going to do when all the regular jobs are done by robots.

A variety of solutions have been proposed to this potential technological unemployment (we even had an entire Future of Work series dealing with this topic in March), many of which suggest that there will still be things that humans can do that robots can’t, but what are they? Read more

Who Will Own the Robots? — David Rotman | Technology Review

“These are long-term trends that began decades ago, says David Autor, an MIT economist who has studied ‘job polarization’—the disappearance of middle-skill jobs even as demand increases for low-paying manual work on the one hand and highly skilled work on the other. This ‘hollowing out’ of ­the middle of the workforce, he says, ‘has been going on for a while.’ Nevertheless, the recession of 2007–2009 may have sped up the destruction of many relatively well-paid jobs requiring repetitive tasks that can be automated.”

Read more

/* */