A novel CVNS adder with memristive analog memory
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Bibliographic record
Abstract
The Continuous Valued Number System (CVNS) is a new approach in computer arithmetic to develop high performance and efficient arithmetic units. In this paper, CVNS-based computation scheme is applied to design a memristive analog adder and it has been demonstrated that this technique is a viable alternative approach to implement multidigit arithmetic system with multilevel memory devices. The proposed CVNS adder has addition and modulo configurations to perform CVNS addition. A mapping circuit has been designed for modulo operation. The proposed memristive CVNS-based adder has been simulated and analyzed for different CVNS values with radix-10 and 2-digit analog environment resolution. The simulations are shown acceptable accuracy and the presented system performance promises an analog memristive computation method for future in-memory computation systems.
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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 | 0.000 |
| 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