jm + self-driving-cars   3

Anthony Levandowski has founded an AI religion
In September 2015, the multi-millionaire engineer at the heart of the patent and trade secrets lawsuit between Uber and Waymo, Google’s self-driving car company, founded a religious organization called Way of the Future. Its purpose, according to previously unreported state filings, is nothing less than to “develop and promote the realization of a Godhead based on Artificial Intelligence.”

this article is full of bananas.
google  crazy  uber  waymo  self-driving-cars  cars  religion  way-of-the-future  ai  god 
24 days ago by jm
Control theory meets machine learning
'DB: Is there a difference between how control theorists and machine learning researchers think about robustness and error?

BR: In machine learning, we almost always model our errors as being random rather than worst-case. In some sense, random errors are actually much more benign than worst-case errors. [...] In machine learning, by assuming average-case performance, rather than worst-case, we can design predictive algorithms by averaging out the errors over large data sets. We want to be robust to fluctuations in the data, but only on average. This is much less restrictive than the worst-case restrictions in controls.

DB: So control theory is model-based and concerned with worst case. Machine learning is data based and concerned with average case. Is there a middle ground?

BR: I think there is! And I think there's an exciting opportunity here to understand how to combine robust control and reinforcement learning. Being able to build systems from data alone simplifies the engineering process, and has had several recent promising results. Guaranteeing that these systems won't behave catastrophically will enable us to actually deploy machine learning systems in a variety of applications with major impacts on our lives. It might enable safe autonomous vehicles that can navigate complex terrains. Or could assist us in diagnostics and treatments in health care. There are a lot of exciting possibilities, and that's why I'm excited about how to find a bridge between these two viewpoints.'
control-theory  interviews  machine-learning  ml  worst-case  self-driving-cars  cs 
november 2015 by jm
Volvo says horrible 'self-parking car accident' happened because driver didn't have 'pedestrian detection'
Grim meathook future, courtesy of Volvo:
“The Volvo XC60 comes with City Safety as a standard feature however this does not include the Pedestrian detection functionality [...] The pedestrian detection feature [...] costs approximately $3,000.

However, there's another lesson here, in crappy car UX and the risks thereof:
But even if it did have the feature, Larsson says the driver would have interfered with it by the way they were driving and “accelerating heavily towards the people in the video.” “The pedestrian detection would likely have been inactivated due to the driver inactivating it by intentionally and actively accelerating,” said Larsson. “Hence, the auto braking function is overrided by the driver and deactivated.” Meanwhile, the people in the video seem to ignore their instincts and trust that the car assumed to be endowed with artificial intelligence knows not to hurt them. It is a sign of our incredible faith in the power of technology, but also, it’s a reminder that companies making AI-assisted vehicles need to make safety features standard and communicate clearly when they aren’t.
self-driving-cars  cars  ai  pedestrian  computer-vision  volvo  fail  accidents  grim-meathook-future 
may 2015 by jm

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