algorithms and how our own visual system still would be hard to collect in practice). This is
vastly outperforms state-of-the-art algorithms. part of the reason why companies currently
I hope attendees walk away from my have self-driving cars covering hundreds or
presentation understanding that AI is not yet thousands — if not millions of miles — with a
solved and there is still a lot to learn from human behind the wheel. They are able to catch
neuroscience. mistakes and continuously increase the image
datasets used to train algorithms to include all
What do you expect to see in the computer
vision space in five years? edge cases.
In five years, we are going to see more of what I believe we will also soon be facing a moral
we are seeing today. debate in which human mistakes at the wheel
will decrease with AI-assisted driving, but
I think we will witness medical diagnosis semi-random mistakes made by computer
scaling up to, and possibly beyond, human vision will also occur that are hard to explain.
performance. Doctors will be able to leverage There is definitely going to be a learning curve;
and collaborate with computer algorithms one that I’m excited to see play out.
Major Internet Social Media
Networks and When They
Were Started
Dialup in 1999 was 56KB/sec
— August 1, 2003
— February 14, 2005
for diagnoses.
— January 15, 2001
We’ll certainly start seeing the advent of
more AI-based systems that are able to assist
— March 21, 2006
humans. However, complete autonomy for
self-driving vehicles, for example, is still a
long way away because the systems are
presently unable to generalize properly to
#TECHTHROWBACK
Spotlight Year 1999
— February 2004
novel situations in the same way humans
would. Even though autonomous vehicles are
pretty accurate — they can drive thousands of
miles without problems — they will make
mistakes every once in a while.
For instance, an autonomous vehicle may miss
a pedestrian crossing the road. The primary
issue is the limited ability of computer vision
algorithms to generalize beyond the data used
to train them. For example, these algorithms
Internet access speeds
have grown from
56 KB/sec
dial-up in 1999 to Gigabit-range
broadband, with speeds up to
100 GB/sec
for high-bandwidth applications.
— August 29, 1997
streaming content 2007
— 2002
— October 6, 2010
cannot detect a baby crossing the road unless
they have been explicitly trained to (which
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2019 eCURRENT
Broadband in 2019 is 100GB/sec
Stronger Together
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