Not sated by its initial findings, the team at iFixit decided to take a second look at the seemingly innocuous fan assembly that caps the new Mac Pro.
Tucked beneath one of the few plastic parts in this marvel of machined computing, they found the AirPort card and its custom adapter board nestled within a gold antenna array. The card itself is standard fare -- the same module seen in recent iterations of the iMac, MacBook Pro, and MacBook Air -- with support for the new ac wireless protocol.
Click the image below to see the updated fan assembly teardown.
We popped the plastic roof off the fan module and found a whole new stash of precision engineering.
It amazes me that a MacBook from 6 years ago still fetches up to and over $500 even though it's packed with outdated technology. A Windows-based laptop with the same hardware usually brings in about $50 or less. Go figure.
The second reason why the fan has to be made small still lies within the consumer trends and what they are looking for. The thinner the machine, the more popular it is likely to be. Take a look at the Mac Pro and you will see what I mean.
@Naperlou, when it comes to modern day laptops, one of the most important things that customers are looking for in terms of the specs is the amount of power consumed by the fan. Loosely speaking, the smaller the fan, the lesser the power consumed. The problem is usually how to make it use less power (i.e. make it small) and yet keep it effective and this is a true marvel of engineering at its best.
According to a study by the National Institute of Standards and Technology, one of the factors in the collapse of the original World Trade Center towers on Sept. 11, 2001, was the reduction in the yield strength of the steel reinforcement as a result of the high temperatures of the fire and the loss of thermal insulation.
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Robots are getting more agile and automation systems are becoming more complex. Yet the most impressive development in robotics and automation is increased intelligence. Machines in automation are increasingly able to analyze huge amounts of data. They are often able to see, speak, even imitate patterns of human thinking. Researchers at European Automation
call this deep learning.
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