CMOS Active-Pixel Sensor With In-Situ Memory for Ultrahigh-Speed Imaging
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
State-of-the-art image sensor arrays have not been able to operate at frame rates that exceed tens to hundreds of thousands of frames per second. The main bottle neck preventing imaging at higher frame rates is the time required to access the array, convert the image data from analog to digital, and transmit the data off the image sensor chip. The later is considered the most significant source of delay, mainly due to the limited number of input and output ports available on the chip. This work allows for a significant increase in image capture rate by separating the image acquisition phase from the conversion and readout phase. This was done by capturing eight frames at a high capture rate and temporarily storing the multiple frames into analog memory units that are incorporated inside the pixel. The design was implemented in a deep-submicron CMOS 130 nm technology that allows for high-speed operation. This paper discusses the tradeoffs of using in-situ frame storage and gives some recommendations.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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