IEEE Signal Processing - July 2018 - 138
in the SPotlight
(continued from page 140)
experiences, and eventually fundamen-
tally change the research landscape.
More importantly,
these robots will like-
Without a doubt, the
ly operate at scales
The future
demand for signal
far reaching beyond
of research
processing experts
the capabilities attain-
The papers robots
and skills to manage
able even by large
and research robots
the upcoming research
research institutions.
will change how re-
automation will remain
And, as is the case
search is done today.
with automation in
These robots will
at the forefront.
all other sectors of
greatly enhance our
the economy, we will see a shift in the
research productivity by automating
demand for specific research skills.
many tedious research tasks, offer new
However, without a doubt, the demand
research-as-a-service opportunities and
reasoning can also be linked with the
experiments carried out in the automated
research labs.
for signal processing experts and skills
to manage the upcoming research auto-
mation will remain at the forefront.
Author
Pavel Loskot (p.loskot@swan.ac.uk) is
currently a senior lecturer in engineer-
ing at Swansea University in Wales,
United Kingdom. The initial ideas of
research automation have been devel-
oped in a multidisciplinary research
project between biosciences and engi-
neering researchers funded by the
Welsh Crucible program in 2012.
SP
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Table of Contents for the Digital Edition of IEEE Signal Processing - July 2018
Contents
IEEE Signal Processing - July 2018 - Cover1
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IEEE Signal Processing - July 2018 - Cover3
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