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NIPS
2004
13 years 9 months ago
Maximising Sensitivity in a Spiking Network
We use unsupervised probabilistic machine learning ideas to try to explain the kinds of learning observed in real neurons, the goal being to connect abstract principles of self-or...
Anthony J. Bell, Lucas C. Parra
PLDI
2006
ACM
14 years 1 months ago
Automatic instruction scheduler retargeting by reverse-engineering
In order to generate high-quality code for modern processors, a compiler must aggressively schedule instructions, maximizing resource utilization for execution efficiency. For a ...
Matthew J. Bridges, Neil Vachharajani, Guilherme O...
HUC
2011
Springer
12 years 7 months ago
LightWave: using compact fluorescent lights as sensors
In this paper, we describe LightWave, a sensing approach that turns ordinary compact fluorescent light (CFL) bulbs into sensors of human proximity. Unmodified CFL bulbs are shown ...
Sidhant Gupta, Ke-Yu Chen, Matthew S. Reynolds, Sh...
AAAI
2007
13 years 9 months ago
Predictive Exploration for Autonomous Science
Often remote investigations use autonomous agents to observe an environment on behalf of absent scientists. Predictive exploration improves these systems’ efficiency with onboa...
David R. Thompson
CASES
2010
ACM
13 years 5 months ago
Improving the quality of ring oscillator PUFs on FPGAs
Physical Unclonable Functions (PUFs) based on Ring Oscillators (ROs) are a promising primitive for FPGA security. However, the quality of their implementation depends on several d...
Dominik Merli, Frederic Stumpf, Claudia Eckert