What Will Computers Look Like in Ten Years?

 Computers  

Frank Z. Wang, Professor in Future Computing and Head of the School of Computing at the University of Kent recently discussed how computers will evolve over the next ten years.

Computer science has impacted many parts of our lives. Computer scientists craft the technologies that enable the digital devices we use every day and computing will be at the heart of future revolutions in business, science, and society.

In the talk below, Frank Z. Wang, Professor in Future Computing and Head of the School of Computing, University of Kent discusses how computers will evolve over the next decade at the Science and Information Conference this year. His research targets the next generation computing paradigms and their applications.

Some of these advances include Cloud Computing, Grid Computing and the next version of the web,  Internet 2.0. According to Wang, a developed Cloud/Grid Computing platform could universally accelerate Office/Database/Web/Media applications by a factor up to ten.

Wang discusses how computing, modeled after the brain is making inroads. He shows how memristor technology is proving to work after being theoretically postulated for over 40 years. Wang's work shows that in ameoba's, memory may be captured in a type of biological memristor. "That is why we are in a better position to design the next generation of computers," states Wang.

"Thanks to the invention of the memristor, the invention opens a new way to revive traditional neural network computers."

He and his team have applied this work to neural network computers.  In the past, modelling computer systems directly on neurons did not make much sense, because each neuron could be connected to over 20,000 synapses.  Now, "thanks to the invention of the memristor, the invention opens a new way to revive traditional neural network computers," Wang says.

Apart from computers themselves, Wang comments that concepts and technologies developed within computer science are starting to have wide-ranging applications outside the subject.  For instance computer scientists recently proposed a theory on evolution based on computer science that reduces the perceived need for competition in evolution.

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His work won an ACM/IEEE Super Computing finalist award. Wang also discusses research on Green Computing, Brain Computing and Future Computing.

Wang is the Professor in Future Computing and Head of School of Computing, University of Kent. Wang's research interests include cloud/grid computing, green computing, brain computing and future computing. He has been invited to deliver keynote speeches and invited talks to report his research worldwide, for example at Princeton University, Carnegie Mellon University, CERN, Hong Kong University of Sci. & Tech., Tsinghua University (Taiwan), Jawaharlal Nehru University, Aristotle University, and University of Johannesburg.

In 2004, he was appointed as Chair & Professor, Director of Centre for Grid Computing at CCHPCF (Cambridge-Cranfield High Performance Computing Facility). CCHPCF is a collaborative research facility in the Universities of Cambridge and Cranfield (with an investment size of £40 million). Prof Wang and his team have won an ACM/IEEE Super Computing finalist award. Prof Wang was elected as the Chairman (UK & Republic of Ireland Chapter) of the IEEE Computer Society in 2005. He is Fellow of British Computer Society. He has served the Irish Government High End Computing Panel for Science Foundation Ireland (SFI) and the UK Government EPSRC e-Science Panel.




SOURCE  SAI Conference

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