Good Research Paper On Computing Chips
The human brain performs its activities in a contrasting manner as compared to today’s computer chips. The human brain has billions of interconnections and pattern recognition capabilities, and has the capability to learn, adapt and respond to the environment. Computing chips are now being designed to mimic the human brain. The strength of such an approach lies in the fact that such computer chips would consume very low power, as only specific sections of the chips as involved in operations would be powered up. The inherent weakness in designing computer chips mimicking the human brain the requirement of need billions of such chips in parallel to preform modern day calculations, resulting in increased complexity. Ethical concerns would encompass fears about thinking machines replacing human beings in jobs, rendering humans jobless. The rights of thinking machines would be another area of ethical concern (Gumulya, 2014).
In the future, computer chips would mimic the human brain. The essence of computing is retaining a series of zeros and ones in the memory. This fundamental task would be done in future by memristors, which are advanced form of resistance devices having the capability to be programmed to a new resistance with the application of electric pulses. These devices would retain their new resistance values once the electrical pulses were removed, and would consume very less power (Bois State University, 2013). In their tasks, memristors would be aided by lateral spin valves, which are tiny magnets connected via metal wires. Spin valves would be able to change orientation depending upon the spin of the electrons passing through them, and would therefore be extremely fast in switching (MIT Technology Review, 2012). The spin valves would enable quick switching, while the memristers would hold memory using less power. Taken together, neuromorphic chips would be created that would consume extremely less power, similar to the synapses in the human brain (Infante, 2014). Such architectures would further lead to create thinking machines.
Boise State University. (2013). Research team building a computer chip based on the human brain. Retrieved 18 Jan 2015, from http://phys.org/news/2013-08-team-chip-based-human-brain.html
Gumulya, M. (2014). Artificial intelligence article [response]. Retrieved 18 Jan 2015, from http://blogs.swa-jkt.com/swa/brianduffy/2014/03/11/artificial-intelligence-article/
Infante, A. (2014). The latest computer technology you have to see to believe. Retrieved 18 Jan 2015, from http://www.makeuseof.com/tag/latest-computer-technology-see-believe/
MIT Technology Review. (2012). Intel reveals neuromorphic chip designs. Retrieved 18 Jan 2015, from http://www.technologyreview.com/view/428235/intel-reveals-neuromorphic-chip-design/
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