Researchers have found a mathematical structure that was thought not to exist. The best possible q-analogs of codes may be useful in more efficient data transmission.
An Anglo-American trio presented the prize-winning solution to a 35-year old maths problem Friday, but verifying it may be a problem in itself: reading it would take 10 billion years.
Computers can be valuable tools for helping mathematicians solve problems but they can also play their own part in the discovery and proof of mathematical theorems.
(Â鶹ÒùÔº)—A trio of researchers has solved a single math problem by using a supercomputer to grind through over a trillion color combination possibilities, and in the process has generated the largest math proof ever—the ...
Given how much they can actually do, computers have a surprisingly simple basis. Indeed, the logic they use has worked so well that we have even started to think of them as analogous to the human brain. Current computers ...
Researchers from the University of South Florida College of Engineering have proposed a new form of computing that uses circular nanomagnets to solve quadratic optimization problems orders of magnitude faster than that of ...
(Â鶹ÒùÔº)—Natural computers, such as evolved brains and cellular automata, express sophisticated interconnected networks and exhibit massive parallelism. They also adapt to exploit local physical properties such as capacitative ...
Researchers of the MESA+ Institute for Nanotechnology and the CTIT Institute for ICT Research at the University of Twente in The Netherlands have produced working electronic circuits that have been developed in a radically ...
We invariably imagine electronic devices to be made from silicon chips, with which computers store and process information as binary digits (zeros and ones) represented by tiny electrical charges. But it need not be this ...
(Â鶹ÒùÔº)—Researchers have proposed a new type of artificial neuron called a "straintronic spin neuron" that could serve as the basic unit of artificial neural networks—systems modeled on human brains that have the ability ...
