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1. 发明授权

US11639326B2 Continuous flow synthesis of ibuprofen 有权
公开(公告)号：US11639326B2
公开(公告)日：2023-05-02
申请号：US16500687
申请日：2018-04-06
申请人： SRI INTERNATIONAL
发明人： Nathan Collins , Jeremiah Malerich , Judy Szeto , Joseph A. Kozocas
IPC分类号： C07C51/08 , C07C253/16 , C07C253/14 , C07C17/16 , C07C29/143 , C07C303/28 , C07C45/46 , C07C57/30 , C07C255/01
摘要： This disclosure generally relates to methods of making ibuprofen, naproxen, and derivatives thereof. This disclosure also generally relates to compounds made by the disclosed methods. This abstract is intended as a scanning tool for purposes of searching in the particular art and is not intended to be limiting of the present invention.

2. 发明申请

US20230117592A1 LIPOXYGENASE INHIBITORS 有权
公开(公告)号：US20230117592A1
公开(公告)日：2023-04-20
申请号：US17788275
申请日：2020-12-18
申请人： SRI International
发明人： Ling Jong , Nathan Collins , Raymond Ng
IPC分类号： C07C217/86 , C07C217/92 , C07D215/38 , C07D213/74 , C07D249/08 , C07D403/12 , C07D401/12 , C07D409/12 , C07D405/06 , C07D209/14 , C07C211/53 , C07D309/04 , C07D305/08 , C07D295/13 , C07C211/54 , C07D413/12 , C07D405/12 , C07C211/56 , C07D403/06 , C07D405/14
摘要： Various embodiments of the present disclosure are directed to compounds having Formula I, Formula II, Formula IIA, Formula III, Formula IIIA, Formula IIIB, and/or pharmaceutically acceptable salts thereof. The compounds can be suitable for inhibiting lipoxygenases and/or treating associated diseases. In some embodiments, subject compounds are used to prepare a composition that is effective in treating neurodegenerative diseases.

3. 发明授权

US11566917B2 Single-track magnetic encoding 有权
公开(公告)号：US11566917B2
公开(公告)日：2023-01-31
申请号：US17284312
申请日：2019-10-09
申请人： SRI International
发明人： Paolo Sechi , Alan Leong
IPC分类号： G01D5/14
摘要： A system includes a substrate, a first and a second magnetic field sensor, and a computing device communicatively coupled to the first and second magnetic field sensors. The substrate has a surface encoded with a magnetic pattern sequenced along a direction of movement of the substrate. The magnetic pattern includes a data pattern that indicates a position of the substrate along the direction of movement and a clock pattern interleaved and substantially colinear with the data pattern that indicates a plurality of clock transitions. The computing device is configured to receive, from the first and second magnetic field sensors positioned above the magnetic pattern, a plurality of magnetic field signals detected from the magnetic pattern. The computing device is configured to determine, based on the plurality of magnetic field signals, the position of the substrate and output the position of the substrate.

4. 发明申请

US20230004799A1 ONE-DIMENSIONAL-CONVOLUTION-BASED SIGNAL CLASSIFIER 有权
公开(公告)号：US20230004799A1
公开(公告)日：2023-01-05
申请号：US17852954
申请日：2022-06-29
申请人： SRI International
发明人： Bradley Clymer
IPC分类号： G06N3/08
摘要： An output module cooperates with a machine learning architecture to analyze parameter-varying signals. The signal-analyzing neural-network contains at least a one-dimensional-convolution layer to apply a series of i) a one-dimensional convolutional-based operation on the data of the parameter-varying signals ii) followed by a non-linear activation function on the data of the parameter-varying signals, under analysis, with multiple representations of the parameter-varying signals. Each representation of the parameter-varying signal is analyzed in a different domain in order to produce a classification of an entity into a specific category of an object corresponding to identifying features of the time-varying signals. Branches of the signal-analyzing neural-network are constructed to apply at least two or more successive layers of the one-dimensional-convolution layer followed by the non-linear activation function layer to values of time and frequency features of the parameter-varying signals, under analysis.

5. 发明授权

US11494626B2 Runtime-throttleable neural networks 有权
公开(公告)号：US11494626B2
公开(公告)日：2022-11-08
申请号：US16600154
申请日：2019-10-11
申请人： SRI International
发明人： Jesse Hostetler , Sek Meng Chai
IPC分类号： G06N3/04 , G06N3/063 , G06F1/3287 , G06N20/20 , G06N3/08
摘要： In general, the disclosure describes techniques for creating runtime-throttleable neural networks (TNNs) that can adaptively balance performance and resource use in response to a control signal. For example, runtime-TNNs may be trained to be throttled via a gating scheme in which a set of disjoint components of the neural network can be individually “turned off” at runtime without significantly affecting the accuracy of NN inferences. A separate gating neural network may be trained to determine which trained components of the NN to turn off to obtain operable performance for a given level of resource use of computational, power, or other resources by the neural network. This level can then be specified by the control signal at runtime to adapt the NN to operate at the specified level and in this way balance performance and resource use for different operating conditions.

6. 发明授权

US11468206B2 Machine learning system for building renderings and building information modeling data 有权
公开(公告)号：US11468206B2
公开(公告)日：2022-10-11
申请号：US15999553
申请日：2018-08-20
申请人： SRI International
发明人： Chih-hung Yeh , Karen Myers , Mohamed Amer
IPC分类号： G06F30/13 , G06N3/04 , G06N20/00
摘要： Techniques are disclosed for using a computation engine executing a machine learning system to generate, according to constraints, renderings of a building or building information modeling (BIM) data for the building, wherein the constraints include at least one of an architectural style or a building constraint. In one example, an input device is configured to receive an input indicating one or more surfaces for the building and one or more constraints. A machine learning system executed by a computation engine is configured to apply a model, trained using images of buildings labeled with corresponding constraints for the buildings, to the one or more surfaces for the building to generate at least one of a rendering of the one or more surfaces for the building according to the constraints or BIM data for the building according to the constraints. Further, the machine learning system is configured to output the rendering or the BIM data.

7. 发明申请

US20220301290A1 FINE-LEVEL FACE ALIGNMENT THROUGH ANCHOR AND CONTOUR ESTIMATIONS 有权
公开(公告)号：US20220301290A1
公开(公告)日：2022-09-22
申请号：US17654956
申请日：2022-03-15
申请人： SRI International
发明人： Jihua Huang , Amir Tamrakar
IPC分类号： G06V10/776 , G06V10/774 , G06T7/64 , G06T7/73 , G06V40/16 , G06V10/75
摘要： This disclosure describes techniques for improving accuracy of machine learning systems in facial recognition. The techniques include generating, from a training image comprising a plurality of pixels and labeled with a plurality of facial landmarks, one or more facial contour heatmaps, wherein each of the one or more facial contour heatmaps depicts an estimate of a location of one or more facial contours within the training image. Techniques further include training a machine learning model to process the one or more facial contour heatmaps to predict the location of the one or more facial contours within the training image, wherein training the machine learning model comprises applying a loss function to minimize a distance between the predicted location of the one or more facial contours within the training image and corresponding contour data generated from facial landmarks of the plurality of facial landmarks with which the training image is labeled.

8. 发明授权

US11429862B2 Dynamic adaptation of deep neural networks 有权
公开(公告)号：US11429862B2
公开(公告)日：2022-08-30
申请号：US16133446
申请日：2018-09-17
申请人： SRI International
发明人： Sek Meng Chai , Aswin Nadamuni Raghavan , Samyak Parajuli
IPC分类号： G06N3/08 , G06N3/10 , G06N3/04
摘要： Techniques are disclosed for training a deep neural network (DNN) for reduced computational resource requirements. A computing system includes a memory for storing a set of weights of the DNN. The DNN includes a plurality of layers. For each layer of the plurality of layers, the set of weights includes weights of the layer and a set of bit precision values includes a bit precision value of the layer. The weights of the layer are represented in the memory using values having bit precisions equal to the bit precision value of the layer. The weights of the layer are associated with inputs to neurons of the layer. Additionally, the computing system includes processing circuitry for executing a machine learning system configured to train the DNN. Training the DNN comprises optimizing the set of weights and the set of bit precision values.

9. 发明授权

US11423247B2 Identifying fixed bits of a bitstring format 有权
公开(公告)号：US11423247B2
公开(公告)日：2022-08-23
申请号：US16839982
申请日：2020-04-03
申请人： SRI International
发明人： Ashish Tiwari , Susmit Jha , Patrick Lincoln
IPC分类号： H03M7/34 , H03M7/00 , G06K9/62 , G06F9/54 , H03M7/30 , H03M7/40
摘要： Techniques are disclosed for identifying fixed bits of a bitstring format. One or more processors are configured to generate a first bitstring having respective first bit values that have a first satisfiability state and generate a second bitstring having respective second bit values that have a second satisfiability state. The one or more processors are configured to identify first potential free bits having respective first common values and generate a third bitstring having first potential free bits with the respective first common values and third remaining bits. The one or more processors are configured to identify second potential free bits having respective second common values and identify a fixed bit that is not included in the first potential free bits and is not included in the second potential free bits.

10. 发明申请

US20220226487A1 A PEPTIDE SAPORIN CONJUGATE FOR THE TREATMENT OF CANCER 有权
公开(公告)号：US20220226487A1
公开(公告)日：2022-07-21
申请号：US16629803
申请日：2018-07-10
申请人： SRI INTERNATIONAL
发明人： Kathlynn C. Brown , Curtis Allred , Michael McGuire
IPC分类号： A61K47/64 , A61P35/00 , A61K38/16 , A61K47/60 , A61K45/06
摘要： Disclosed herein, are compositions comprising one or more molecular guidance system (MGS) peptides and a cytotoxic agent. Also described herein, are methods of administering the compositions to patients with cancer.

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