jm + knowledge   3

Connectivity at the origins of domain specificity in the cortical face and place networks | PNAS
Wow, this is cool -- babies are born with some "pre-wired" visual connectivity networks, specifically for faces and scenes:
Where does knowledge come from? We addressed this classic question using the test cases of the cortical face and scene networks: two well-studied examples of specialized “knowledge” systems in the adult brain. We found that neonates already show domain-specific patterns of functional connectivity between regions that will later develop full-blown face and scene selectivity. Furthermore, the proto face network showed stronger functional connectivity with foveal than with peripheral primary visual cortex, while the proto scene network showed the opposite pattern, revealing that these networks already receive differential visual inputs. Our findings support the hypothesis that innate connectivity precedes the emergence of domain-specific function in cortex, shedding new light on the age-old question of the origins of human knowledge.
brains  vision  babies  knowledge  learning  science  biology 
4 weeks ago by jm
Older Is Wiser: Study Shows Software Developers’ Skills Improve Over Time
At least in terms of StackOverflow rep:
For the first part of the study, the researchers compared the age of users with their reputation scores. They found that an individual’s reputation increases with age, at least into a user’s 40s. There wasn’t enough data to draw meaningful conclusions for older programmers. The researchers then looked at the number of different subjects that users asked and answered questions about, which reflects the breadth of their programming interests. The researchers found that there is a sharp decline in the number of subjects users weighed in on between the ages of 15 and 30 – but that the range of subjects increased steadily through the programmers’ 30s and into their early 50s.

Finally, the researchers evaluated the knowledge of older programmers (ages 37 and older) compared to younger programmers (younger than 37) in regard to relatively recent technologies – meaning technologies that have been around for less than 10 years. For two smartphone operating systems, iOS and Windows Phone 7, the veteran programmers had a significant edge in knowledge over their younger counterparts. For every other technology, from Django to Silverlight, there was no statistically significant difference between older and younger programmers. “The data doesn’t support the bias against older programmers – if anything, just the opposite,” Murphy-Hill says.


Damn right ;)
coding  age  studies  software  work  stack-overflow  ncsu  knowledge  skills  life 
april 2013 by jm
Thinkism
great Singularity contemplation from Kevin Kelly: 'to be useful, artificial intelligences have to be embodied in the world, and that world will often set their pace of innovations. Thinkism is not enough. Without conducting experiments, building prototypes, having failures, and engaging in reality, an intelligence can have thoughts but not results. It cannot think its way to solving the world's problems. There won't be instant discoveries the minute, hour, day or year a smarter-than-human AI appears. The rate of discovery will hopefully be significantly accelerated. Even better, a super AI will ask questions no human would ask. But, to take one example, it will require many generations of experiments on living organisms, not even to mention humans, before such a difficult achievement as immortality is gained.'
ai  singularity  ray-kurzweil  kevin-kelly  science  progress  technology  future  philosophy  intelligence  knowledge  thinkism 
july 2009 by jm

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