The Algorithm to Failure
April 12, 2017
Algorithms have practically changed the way the world works. However, this nifty code also has its limitations that lead to failures.
In a whitepaper published by Cornell University, authored by Shai Shalev-Shwartz, Ohad Shamir, Shaked Shammah and titled Failures of Deep Learning, the authors say:
It is important, for both theoreticians and practitioners, to gain a deeper understanding of the difficulties and limitations associated with common approaches and algorithms.
The whitepaper touches four pain points of Deep Learning, which is based on algorithms. The authors propose remedial measures that possibly could overcome these impediments and lead to better AI.
Eminent personalities like Stephen Hawking, Bill Gates and Elon Musk have however warned against advancing AIs. Google in the past had abandoned robotics as the machines were becoming too intelligent. What now needs to be seen is who will win in the end? Commercial interests or unfounded fear?
Vishal Ingole, April 12, 2017
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The Algorithm to Failure : Stephen E. Arnold @ Beyond Search