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We often think of better electronic systems design in the
context of the improved power, performance, and area of its various components,
from generation to generation.
But some eras introduce new technologies that take electronics
systems (and engineering thinking) to a different level. Such is the case with
A car is a car is a car. But a car with embedded vision is a
safer, smarter, more autonomous mode of transport, and, down the road, a
transformer of society. Vision is the sensor functionality that adds the third
"C" to the convergence triad: Computing, communications, and cognition. And
embedded vision is, at its heart, about recognition and autonomy.
Those are two cable-strong threads running through this
month's Embedded Vision Summit in Santa Clara, Calif., May 29, at the Santa
Clara Convention Center.
"This is about inspiring and empowering engineers to
incorporate visual intelligence into products," said Jeff Bier, founder of the
Embedded Vision Alliance, which created the summit. "It's not technology for the
sake of technology. It's technology for
the sake of better products."
Bier has lured two amazing speakers to the packed compelling
Fairfield of Google, who will talk about autonomous vehicles, and Yann
LeCun, Director of AI Research at Facebook and Silver Professor of Data
Science, Computer Science, Neural Science, and Electrical Engineering at New
York University. His presentation is titled "Convolutional Networks: Unleashing the Potential of Machine Learning
for Robust Perception Systems." I'm going to listen in just because I love
the phrase "convolutional networks!"
Also featured among the 18 technical talks during the
Here's a link to the complete
Whether it's self-driving cars (Fairfield's focus) or facial
recognition in social networking (LeCun's focus), Bier notes these are "hard
problems" for engineering teams.
Autonomous vehicles in particular, he said, are systems that
need "to exist in the wild, in this chaotic world in which we live."
Facebook, for its part, is likely interested in expanding
facial recognition technology to make the user experience more intuitive but
also to make advertising programs smarter and more effective. ("Are you wearing
a Real Madrid jersey in your latest Facebook picture? Here we'll serve you some
merchandiser links that are relevant to that.")
Bier said Facebook hasn't said much about what LeCun is
working on, so his presentation should be illuminating.
And so will the rest of the program.
Here's a link to the
Vision's Transformative Potential