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...
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...
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...
Often remote investigations use autonomous agents to observe an environment on behalf of absent scientists. Predictive exploration improves these systems’ efficiency with onboa...
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...