Artifcial intelligence – Finally out of the lab
2018 is a year in which AI will transition from
training to doing. The catalyst for this will be new
chips, the so-called specifc integrated circuits,
due to be released this year , these will
play key roles in the years to come especially
the next 5 years.
The first area to
benefit is industrial automation, in which
assembly-line robots can register higher success
rates because of rapid and collaborative machine
learning , this will free up humans to tackle
the more critical higher ‘Intelligence’ issues.
Autonomous transport will also see big
gains, with more carmakers taking their
autonomous cars out of the testing phase and
onto the road. This , is likely to be more
critical to military and the like , where movement
of resources on a grand scale is required , with
minimal oversight
Smart cities, like the new district in
Toronto being developed by Alphabet, will also
beneft from these new AI capabilities, primarily
from the integration of machine learning into
surveillance cameras , the ability to
reduce crime , energy wastage & limited resources
such as water will be critical going forward.
EU Forecast
euf:b18:26/nws-01