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1.05¢ per patent20 datapoints
Google Patents API
Patents from Google Patents with title, abstract, assignees, inventors, priority date and filing date. Search by keyword.
Sample
Sample data
Here's a sample run of 10 patents, showing the exact schema and results you can expect.
| # | Publication Number | Title | Abstract | Assignees | Inventors | Priority Date | Filing Date | Publication Date | Grant Date | Status | Application Number | Language | Cpc Codes | Claims Count | Patent Citations | Non Patent Citations | Cited By | Figure Count | Pdf URL | Patent URL |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | US10452978B2 | Attention-based sequence transduction neural networks | Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating an output sequence from an input sequence. In one aspect, one of the systems includes an encoder neural network configured to receive the input sequence and generate encoded representations of the network inputs, the encoder neural network comprising a sequence of one or more encoder subnetworks, each encoder subnetwork configured to receive a respective encoder subnetwork input for each of the input positions and to generate a respective subnetwork output for each of the input positions, and each encoder subnetwork comprising: an encoder self-attention sub-layer that is configured to receive the subnetwork input for each of the input positions and, for each particular input position in the input order: apply an attention mechanism over the encoder subnetwork inputs using one or more queries derived from the encoder subnetwork input at the particular input position. | 2017-05-23 | 2018-06-28 | 2019-10-22 | 2019-10-22 | Active | US:16/021,971 | en | 30 | — | 35 | 71 | 4 | |||||
2 | US11886998B2 | Attention-based decoder-only sequence transduction neural networks | Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating an output sequence from an input sequence. One of the methods includes, at each of a plurality of generation time steps: generating a combined sequence for the generation time step that includes the input sequence followed by the output tokens that have already been generated as of the generation time step; processing the combined sequence using a self-attention decoder neural network to generate a time step output that defines a score distribution over a set of possible output tokens; and selecting, using the time step output, an output token from the set of possible output tokens as the next output token in the output sequence. | 2017-10-27 | 2023-01-13 | 2024-01-30 | 2024-01-30 | Active | US:18/096,946 | en | 20 | 4 | 54 | 2 | 5 | |||||
3 | US11899733B2 | Method and system for activity prediction, prefetching and preloading of computer assets by a client-device | A solution arranged to build or train a machine learning model (ML model) that can be uploaded to a server arranged to deploy the ML model to communicating devices. The ML model builder can build the ML model and a ML production pipeline. The ML production pipeline can train the ML model, convert the ML model to a web browser compatible format, and upload the converted ML model to the server. The ML model can receive as input a sequence of prior activities on one communicating device in the communicating devices, analyze the sequence of prior activities on the communicating device, predict a next activity on the communicating device based on the analysis of the sequence of prior activities, preemptively search a computer network based on the predicted next activity to find a computer asset, and preload the found computer asset to a storage in the communicating device. | 2020-01-14 | 2020-01-14 | 2024-02-13 | 2024-02-13 | Active | US:17/792,965 | en | 20 | 9 | 2 | — | 7 | |||||
4 | US11210475B2 | Enhanced attention mechanisms | Methods, systems, and apparatus, including computer programs encoded on computer storage media, for enhanced attention mechanisms. In some implementations, data indicating an input sequence is received. The data is processed using an encoder neural network to generate a sequence of encodings. A series of attention outputs is determined using one or more attender modules. Determining each attention output can include (i) selecting an encoding from the sequence of encodings and (ii) determining attention over a proper subset of the sequence of encodings, where the proper subset of encodings is determined based on a position of the selected encoding in the sequence of encodings. The selections of encodings are also monotonic through the sequence of encodings. An output sequence is generated by processing the attention outputs using a decoder neural network. An output is provided that indicates a language sequence determined from the output sequence. | 2018-07-23 | 2019-07-22 | 2021-12-28 | 2021-12-28 | Active | US:16/518,518 | en | 20 | 22 | 37 | — | 7 | |||||
5 | EP3371807B1 | Generating target phoneme sequences from input speech sequences using partial conditioning | — | 2015-11-12 | 2016-11-11 | 2023-01-04 | 2023-01-04 | Active | EP:16802210.1A | en | 9 | — | 1 | — | 5 | |||||
6 | US8471521B2 | Electric vehicle extended range hybrid battery pack system | A power source comprised of a first battery pack (e.g., a non-metal-air battery pack) and a second battery pack (e.g., a metal-air battery pack) is provided, wherein the second battery pack is only used as required by the state-of-charge (SOC) of the first battery pack or as a result of the user selecting an extended range mode of operation. Minimizing use of the second battery pack prevents it from undergoing unnecessary, and potentially lifetime limiting, charge cycles. The second battery pack may be used to charge the first battery pack or used in combination with the first battery pack to supply operational power to the electric vehicle. | 2010-08-10 | 2010-12-08 | 2013-06-25 | 2013-06-25 | Active | US:12/962,693 | en | 10 | 18 | 1 | 49 | 7 | |||||
7 | JP2024059770A | Compositions and methods for prelithiated energy storage devices | To provide a dry electrode film for an energy storage device.SOLUTION: An energy storage device may include a cathode, an anode, and a separator between the cathode and the anode. At least one of electrodes may include an electrode film prepared by a drying process. The electrode film and/or the electrode may include prelithiating materials. A process and a device used to make electrodes and/or electrode films are also described.SELECTED DRAWING: Figure 2 | 2019-01-15 | 2024-02-21 | 2024-05-01 | — | Active | JP:2024024178A | en | 20 | 3 | 2 | — | — | |||||
8 | US20230378447A1 | Compositions and methods for multilayer dry coated and wet cast film hybrid electrode films | Provided herein are energy storage device electrode films comprising a hybrid electrode film, and methods of forming such multilayer hybrid electrode films and energy storage devices comprising multilayer hybrid electrode films. Each hybrid electrode film may comprise a self-supporting dry coated active layer and a wet cast active layer, wherein each active layer comprises a binder and an active material. The binder and/or active material may be the same or different as any other active layer. The hybrid multilayer electrode film may further comprise at least one additional layer, and the hybrid multilayer electrode film may be laminated with a current collector to form an electrode. | 2019-03-29 | 2023-07-25 | 2023-11-23 | — | Active | US:18/358,814 | en | 21 | — | — | — | 23 | |||||
9 | JP2025111615A | Compositions and methods for energy storage devices including salts and/or foams | To provide a dry electrode film of an energy storage device, a solid state energy storage device, a method of fabricating the dry electrode film, an electrode of the energy storage device, and a dry composite solid polymer electrolyte (SPE) film.SOLUTION: An energy storage device can include a cathode, an anode, and a separator between the cathode and the anode. At least one of the electrodes can include an electrode film prepared by a dry process. The electrode film, the electrode and/or the separator can include a salt, improved porosity and increased density, be prelithiated, and/or include a foam. Processes and apparatuses used for fabricating the electrode and/or electrode film are also described.SELECTED DRAWING: Figure 2 | 2018-11-08 | 2025-04-23 | 2025-07-30 | — | Pending | JP:2025071123A | en | 30 | 4 | — | — | — | — | ||||
10 | MX2023002977A | Tabless energy storage devices and methods of manufacturing thereof. | Energy storage devices and methods of manufacturing thereof, such as a lithium ion battery, without tabs connecting the electrode jellyroll to the can are described. A series of flags may be cut, bent and interleaved over one another to create a connection point for upper and lower collector plates within a can. The upper and lower collector plates may be welded directly to the interleaved flags to create connection points for the anode and the cathode within the energy storage device. | 2020-09-21 | 2021-09-17 | 2023-04-10 | — | — | MX:2023002977A | en | — | — | — | — | — | — |
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curl -X POST "https://api.mindcase.co/v1/data/google-patents/patents/run?wait=true" \
-H "Authorization: Bearer mk_live_YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"params": {
"query": "",
"assignee": "",
"dateFrom": "",
"dateTo": "",
"dateType": "",
"country": "",
"status": "",
"sortBy": ""
}
}'Edit the form to update this live.