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RidgeRat
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re: Neural nets make a comeback at Darpa
RidgeRat   8/14/2009 11:16:37 PM
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Let's wish DARPA luck this round... The problem with neural networks is not so much what they can do as what they will do... which is learn the information provided to them, not what you want them to learn. Should I repeat a classic and probably apocryphal story? Oh heck, why not. The goal was to train a self-guided vehicle to navigate along a road. Shouldn't be hard, on each side there is a curb, with nice green grass beyond that, just stay between the lines. Only it turned out that when they took the vehicle outside to prepare for a demo, the light spectrum from REAL grass was nowhere close to pure green used in the laboratory to train the neural navigation logic. Successful demo or lose funding... what to do? Well, to make a long story short, they went out and spray painted all the grass green...



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As data rates begin to move beyond 25 Gbps channels, new problems arise. Getting to 50 Gbps channels might not be possible with the traditional NRZ (2-level) signaling. PAM4 lets data rates double with only a small increase in channel bandwidth by sending two bits per symbol. But, it brings new measurement and analysis problems. Signal integrity sage Ransom Stephens will explain how PAM4 differs from NRZ and what to expect in design, measurement, and signal analysis.

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