Non-Idealities in Memristor Devices and Methods of Mitigating Them
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Bibliographic record
Abstract
One of the main issues that memristors face, like other hardware components, is non-idealities (that can arise from long-term usage, low-quality hardware, etc.). In this chapter, we discuss some ways of mitigating the effects of such non-idealities. We consider both hardware-based solutions and universal solutions that do not depend on hardware or specific types of non-idealities, specifically in the context of memristive neural networks. We compare such solutions both theoretically and empirically using simulations. We also explore the different non-idealities in depth, such as device faults, endurance, retention, and finite conductance states, considering what causes them and how they can be avoided, and present ways of simulating these non-idealities in software.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it