Siftables – a New Paradigm of Digital Technology Usage
I first saw Siftables on a Ted Talk video. The first thing that hits you is the “coolness” factor. David Merrill takes a set of cube-sized blocks each representing a digital function (in some cases arithmetic and other cases color just to name a few examples) and then proceeds to place them next to each other to perform a calculation or some other function.
The goal of the project is to let people interact with information and media just as they do with real world objects. By placing their hands and fingers on the objects they can sort and work with the devices.
As computational power goes down and out – that means it continually evolves into smaller, more granular packages used in a wider range of applications – we’ll see computation going into every machine not just those dedicated as personal computers or mobile devices. The siftable concept simply shows what is possible in the next generation of computing in which a processor, memory, and wireless are embedded in the unit to provide additional functionality. In five years, the mobile phone device in your hand will look like the personal computer of today—a big, bulky device.
Best regards,
Hall T.
The goal of the project is to let people interact with information and media just as they do with real world objects. By placing their hands and fingers on the objects they can sort and work with the devices.
As computational power goes down and out – that means it continually evolves into smaller, more granular packages used in a wider range of applications – we’ll see computation going into every machine not just those dedicated as personal computers or mobile devices. The siftable concept simply shows what is possible in the next generation of computing in which a processor, memory, and wireless are embedded in the unit to provide additional functionality. In five years, the mobile phone device in your hand will look like the personal computer of today—a big, bulky device.
Best regards,
Hall T.
4 Comments:
sir ,,
objective is to do analysis of ecg signals ..
for that we are trying on three sign signals ..
i am getting signals from serial port . but signal is coming in variable form . it is varying from 25 to 101 bytes . so accordingly fft is varying .
i want clear fft and wavelet ..
please answer..
can i store data ,, or should i do anything else ..
..
i am an under graduate student "ankykabramaheshwari@gmail.com"
ankur k
ninest123 10.14
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