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DrQuine
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Neural Nets in Hardware
DrQuine   8/8/2013 9:15:06 PM
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This sounds like the periodic resurgance of interest in neural nets that has been going on for decades. While our brains do well with neural nets, they use a lot of neurons and a lot of synapses to figure out patterns. Once the pattern is understood: "IF the temperature rises quickly THEN ring the fire alarm", it can be programmed on a trivially simple logic gate. I think that neural nets often are used to address problems which are not well understood and the programming of the neural nets is not well understood either. Knowing what we want and finding an efficient way to get to the intended destination is more likely to lead to programming success.

R_Colin_Johnson
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Re: How hard is it to progran?
R_Colin_Johnson   8/8/2013 7:07:09 PM
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Yes, using corelets to program cognitive computers will require a whole different work flow, in fact IBM says it has a teaching curriculum that educates engineers.

rick merritt
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How hard is it to progran?
rick merritt   8/8/2013 6:02:18 PM
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It's great to see experimentaiton in architectures. However these usually come at the cost of needing a whole new programming approach which means outside of the chip devekopers, no one knows how to write software for this beast yet.

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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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