Minimal Activity Mixed-Signal VLSI Architecture for Real-Time Linear Transforms in Video
Bibliographic record
Abstract
The mixed-signal processor performs digital vector-matrix multiplication using internally analog fine-grain parallel computing. The three-transistor CID/DRAM unit cell combines single-bit dynamic storage, binary multiplication, and zero-latency analog accumulation. Matrix coefficients are stored in a bit-parallel form. Delta-sigma analog-to-digital conversion of the analog array outputs is combined with oversampled unary coding of the digital inputs. Sorting of unary inputs results in at most a single input line transition for arbitrary multi-bit inputs. This amounts to a linear gain in energy efficiency of the computational array in the number of bits of the input vector. The 256 /spl times/ 128 CID/DRAM processor with integrated 128 delta-sigma ADC measures 3 mm /spl times/ 3 mm in 0.5 /spl mu/m CMOS and delivers 6.5 GMACS dissipating 5.9 mW of power. CID/DRAM array dynamic power dissipation is reduced by a factor of four through sorting 8-bit inputs.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| 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 | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".