2010 – 2019: The rise of deep learning | Deep Learning - The Next Web
No other technology was more important over the past decade than
artificial intelligence. Stanford’s Andrew Ng called it the new
electricity, and both Microsoft and Google changed their business
strategies to become “AI-first” companies. In the next decade, all
technology will be considered “AI technology.” And we can thank deep
learning for that, as The Next Web reports now.
Deep learning is a friendly facet of machine learning that lets AI
sort through data and information in a manner that emulates the human
brain’s neural network. Rather than simply running algorithms to
completion, deep learning lets us tweak the parameters of a learning
system until it outputs the results we desire.
he 2019 Turing Award, given for excellence in artificial intelligence
research, was awarded to three of deep learning‘s most influential
architects, Facebook’s Yann LeCun, Google’s Geoffrey Hinton, and
University of Montreal’s Yoshua Bengio...
The next ten years will likely see the rise of a new class of
algorithm, one that’s better suited for use at the edge and, perhaps,
one that harnesses the power of quantum computing. But you can be sure
we’ll still be using deep learning in 2029 and for the foreseeable
future.
Read more...
Source: The Next Web
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