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The agent works the prompt against patents and technical literature, citing every source.
Run your analysis now →Filing growth compares 2021 (809 records) with 2024 (566) — a three-year span. 2024 is the most recent year we treat as complete: publication lags filing by roughly 18 months, so 2025 onwards are still filling in and any growth rate that ends there would understate the field. Top-5 share is the combined record count of the five largest assignees divided by all 41,171 records in scope (CR5), not by the ranked leaders only.
Analog in-memory computing precision and conversion sits at the intersection of mixed-signal circuit design and compute-in-memory architecture: how a system converts digital weights and activations into analog signals, accumulates partial sums inside a memory array, and converts the result back to digital without losing accuracy to IR drop, device mismatch or ADC energy overhead. This dataset spans 41,171 published records filed between 2015 and mid-2026, searched against terms covering ADC energy share, bit slicing, partial sum accumulation, IR drop and calibration routines that recover achievable effective bit precision.
Because publication lags filing by roughly 18 months, the most recent year in any trend below is necessarily undercounted — treat the 2025-2026 figures as a floor, not a ceiling.
Pick a task. Every answer cites the patents behind it.
Two views of the same 41,171-record corpus: the pace of filing over time, and where those filings sit across the IPC classification system.
Filings climbed from 755 in 2017 to a peak of 855 in 2022, then eased off. The most recent full year sits well below peak, and 2026 (42 filings) is a partial year still filling in as publications catch up.
H03M (coding & code conversion) covers 16.6% of all records, more than three times the next largest class, H04B (transmission, general) at 5.1%. Because a record can carry multiple IPC classes, these shares add up past 100% — the point is the relative weight, not a partition of the whole.
Shares are the percentage of the 41,171 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.
This page is one run against one query. Ask Eureka your own question about analog in-memory computing precision and conversion and every answer comes back with the patent numbers behind it.
Try EurekaFiled by Intel, this application describes a DAC stage generating analog input activations, a multiply-accumulate stage combining those signals with multi-bit weight data, an analog integration stage performing partial sum accumulation, and an ADC stage converting the accumulated result back to digital.The claim scope centres on where accumulation happens: keeping partial sums in the analog domain before the final ADC step, rather than converting after every multiply-accumulate operation.


| # | Publication no. | Patent title | Citations |
|---|---|---|---|
| 1 | US20150272571A1 | Surgical instrument utilizing sensor adaptation | 2,944 |
| 2 | US5012411A | Apparatus for monitoring, storing and transmitting detected physiological information | 1,450 |
| 3 | US20080114250A1 | Transducer array imaging system | 1,234 |
| 4 | US5001649A | Linear power control for ultrasonic probe with tuned reactance | 1,023 |
| 5 | US5923027A | Moisture sensor and windshield fog detector using an image sensor | 961 |
| 6 | US5564434A | Implantable capacitive absolute pressure and temperature sensor | 849 |
| 7 | US5606242A | Smart battery algorithm for reporting battery parameters to an external device | 803 |
| 8 | US5580794A | Disposable electronic assay device | 800 |
| 9 | US6243654B1 | Transducer assembly with smart connector | 707 |
| 10 | US7215991B2 | Wireless medical diagnosis and monitoring equipment | 660 |
Citation counts favour older filings that have had more time to accumulate citations inside this searched corpus — read them as a signal of influence, not of current importance.
Each row carries its publication number; clicking a row searches Eureka by that number.
When you want the answer in the next five minutes.
The agent works the prompt against patents and technical literature, citing every source.
Run your analysis now →When it has to run inside your own pipeline.
Patent search, landscape analysis and assignee resolution as MCP tools. Drop them into any agent framework, or call REST directly.
Browse MCP servers →Three patterns worth acting on before drafting claims in this space.
The leader holds 717 records against a total of 41,171, and the top 5 combined amount to just 7.3% of all records in scope. That is a fragmented field rather than one dominated by a handful of blocking portfolios — freedom-to-operate risk is spread thin rather than concentrated.
The trend peaked at 855 filings in 2022 and has since declined; the leading assignees in the recent-year momentum data all show negative year-on-year movement. This is a maturing filing cycle, not a growth curve — new entrants are filing into a field where the pace has already slowed.
H03M (coding & code conversion) accounts for 16.6% of all 41,171 records, well ahead of transmission (H04B, 5.1%) or digital data processing (G06F, 4.1%). Precision and conversion claims are concentrated in coding circuitry rather than spread evenly across the compute-in-memory stack.
United States filings (13,237) far outnumber Europe (3,221) and WIPO PCT filings (1,989), with Canada, Australia and the UK trailing further behind. A filing strategy built only around US coverage would miss the smaller but non-trivial European and PCT routes some assignees are already using.
Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to analog in-memory computing precision and conversion, with the prior art for and against each one.
The ranked leaders sit atop a long tail, and several of the most active historical filers have pulled back sharply in the most recent year.
The top-ranked assignee holds 717 records, well ahead of fifth place at 447 and tenth at 291 — a real lead, but nowhere near control of a 41,171-record field.
Two of the most historically active filers show zero filings in the latest year, a -100% year-on-year drop, while others in the momentum data show declines between -43% and -90%. Recent activity does not track historical share.
Only 10 co-assignee pairs appear in the data, and the strongest pair — a company and its Japanese instrument subsidiary — share 22 records. Co-assignment here looks more like corporate structure than external partnership.
| Assignee | Recent year | YoY |
|---|---|---|
| Texas Instruments Inc | 4 | -43% |
| Analog Devices Inc | 1 | -75% |
| Qualcomm Inc | 1 | -89% |
| Samsung Electronics Co Ltd | 1 | -90% |
| Intel Corp | 0 | -100% |
| International Business Machines Corporation | 0 | -100% |
| Broadcom Inc | 0 | — |
| Telefonaktiebolaget LM Ericsson (publ) | 0 | — |
Two directions depend on what you're trying to decide.
Intel's 2024 filing on adaptive analog partial sum accumulation defines where accumulation happens in the signal chain — a detail worth checking against any design that keeps sums in the analog domain before final conversion.
Explore the full record in EurekaIR-drop compensation and runtime effective-bit tracking sit at lower filing density than coding and conversion circuitry generally — worth a closer look before assuming that ground is occupied.
Run a white space search in EurekaThe ranked leader holds 717 records out of 41,171 in scope, with fifth place at 447 and tenth at 291. The field is fragmented rather than dominated: the top 5 assignees combined account for only 7.3% of all records, and the top 10 for 11.4%. That means freedom-to-operate risk is spread across many mid-sized portfolios rather than concentrated in one or two blocking players.
No. Filings rose from 755 in 2017 to a peak of 855 in 2022, and have declined since. Several of the most active historical assignees show sharp year-on-year drops in the most recent year, some down as much as 90% or more. Because publication lags filing by around 18 months, the very latest year is always undercounted, but the multi-year direction is clearly downward from the 2022 peak, not upward.
Coding and code conversion (IPC class H03M) is the densest area by a wide margin, covering 16.6% of all 41,171 records. The next largest classes — transmission (H04B) and digital data processing (G06F) — sit at 5.1% and 4.1% respectively. Since a single record can carry multiple IPC classes, these percentages are not mutually exclusive shares of a whole; they show where claim density concentrates, not a strict partition of the field.
Sub-areas adjacent to the dense coding and transmission clusters carry noticeably fewer records, including IR-drop compensation calibration loops, mixed-signal bit-slicing for multi-bit weights, and runtime tracking of achievable effective bit precision. These sit inside the same broad application area covered by the search terms but are not where the bulk of the 41,171 records concentrate. Anyone drafting new claims should check density in these specific sub-areas before assuming the ground is occupied, since aggregate filing volume in the field overall does not mean every technical branch is equally claimed.
US20240396568A1, filed by Intel and published in November 2024, describes a compute-in-memory pipeline: a DAC stage converts digital activations to analog signals, a multiply-accumulate stage combines them with stored multi-bit weight data, an analog integration stage performs partial sum accumulation, and an ADC stage converts the final result back to digital. The claim scope centres on keeping accumulation in the analog domain across multiple multiply-accumulate operations before a single final conversion step, rather than converting after each operation. Anyone designing a similar pipeline should check where their own accumulation happens relative to the ADC stage.
Go past this page: query the whole analog in-memory computing precision and conversion corpus yourself, in your own scope.
Every answer comes back with patent numbers you can open.
Disclaimer. This page is generated from Patsnap Eureka data drawn from a limited snapshot of global patent and scientific-literature records, and is provided for general information and reference only.
Patent data carries inherent limitations: recent filings (typically the most recent 18–24 months) are under-counted due to standard publication lag; counts may be reported at either a patent-family or a patent-record basis and are not always directly comparable; classification, applicant-name, and citation data may contain errors, duplicates, or omissions; and the underlying search query defines and constrains the scope shown. As a result, the analysis may be incomplete or inaccurate and may not reflect the full technology landscape.
Nothing on this page constitutes an exhaustive prior-art, novelty, freedom-to-operate, or validity search, nor does it constitute legal, financial, investment, or professional advice, and it should not be relied upon as such. Any patent, commercial, or strategic decision should be verified independently and reviewed with qualified patent, legal, and domain professionals. Patsnap makes no warranties, express or implied, as to the accuracy, completeness, or fitness for any particular purpose of the information presented.
Machine translation. Assignee and organisation names originally recorded in Chinese, Japanese or Korean have been rendered into English by an AI translation step so that the tables stay readable. These renderings are best-effort and may not match a company's registered English name; the original name is what the underlying patent record carries, and it is what any Eureka query launched from this page uses.