公开(公告)号：US20240362511A1

公开(公告)日：2024-10-31

申请号：US18608827

申请日：2024-03-18

申请人： Meraglim Holdings

发明人： John T. Rickard ,  James Rickards ,  David G. Morgenthaler

IPC分类号： G06N7/02 ,  G06F16/901 ,  G06F16/904 ,  G06F17/18 ,  G06N20/00

CPC分类号： G06N7/02 ,  G06F16/901 ,  G06F16/904 ,  G06F17/18 ,  G06N20/00

摘要： A program product comprising; formulating a map of a plurality of nodes; establishing a set of causal relationships between the plurality of nodes, creating a connection between the nodes where a causal relationship is determined, and assigning a linguistic term describing the connection strength to each such connection; manipulating the plurality of nodes based on the set of exogenous nodes and a set of non-exogenous nodes; repositioning the plurality of nodes in the map; iterating the map until a convergence state is reached for each non-exogenous node; assigning a linguistic term to the relationships between the nodes based on a relationship between word index values and their corresponding linguistic terms; calculating the states of the at least one non-exogenous node based on the linguistic terms associated with all of the connected nodes; and generating a graphical representation in a user interface of the state of the selected non-exogenous node.

公开(公告)号：US12131807B2

公开(公告)日：2024-10-29

申请号：US18230718

申请日：2023-08-07

申请人： MeMed Diagnostics Ltd.

发明人： Eran Eden ,  Kfir Oved ,  Roy Navon ,  Assaf Cohen-Dotan ,  Olga Boico

IPC分类号： G16B5/20 ,  G06F17/18 ,  G16B5/00 ,  G16B20/00 ,  G16B20/20 ,  G16B25/10 ,  G16B40/00 ,  G16B40/20 ,  G16B40/30 ,  G16H50/50 ,  G01N33/569 ,  G16B25/00

CPC分类号： G16B5/20 ,  G06F17/18 ,  G16B5/00 ,  G16B20/00 ,  G16B20/20 ,  G16B25/10 ,  G16B40/00 ,  G16B40/20 ,  G16B40/30 ,  G16H50/50 ,  G01N33/56911 ,  G01N33/56983 ,  G16B25/00 ,  Y02A90/10

摘要： A method of analyzing biological data containing expression values of a plurality of polypeptides in the blood of a subject. The method comprises: calculating a distance between a segment of a curved line and an axis defined by a direction, the distance being calculated at a point over the curved line defined by a coordinate along the direction. The method further comprises correlating the distance to the presence of, absence of, or likelihood that the subject has, a bacterial infection. The coordinate is defined by a combination of the expression values, wherein at least 90% of the segment is between a lower bound line and an upper bound line.

公开(公告)号：US20240355037A1

公开(公告)日：2024-10-24

申请号：US18752412

申请日：2024-06-24

申请人： Imagination Technologies Limited

发明人： Rostam King

IPC分类号： G06T15/04 ,  G06F17/18 ,  G06T7/60 ,  G06T15/50

CPC分类号： G06T15/04 ,  G06F17/18 ,  G06T7/60 ,  G06T15/503

摘要： A method of performing anisotropic texture filtering includes generating one or more parameters describing an elliptical footprint in texture space; performing isotropic filtering at each of a plurality of sampling points in an ellipse to be sampled, the ellipse to be sampled based on the elliptical footprint; and combining results of the isotropic filtering at each of the plurality of sampling points to generate a combination result by a sequence of linear interpolations, wherein each linear interpolation in the sequence of linear interpolations comprises blending a result of a previous linear interpolation in the sequence with the isotropic filtering results for one or more of the plurality of sampling points, the one or more of the plurality of sampling points for a linear interpolation being closer to a midpoint of the major axis of the elliptical footprint than the one or more of the plurality of sampling points for the previous linear interpolation in the sequence.

公开(公告)号：US12122053B2

公开(公告)日：2024-10-22

申请号：US16916017

申请日：2020-06-29

申请人： NVIDIA Corporation

发明人： Carolyn Linjon Chen ,  Yashraj Shyam Narang ,  Fabio Tozeto Ramos ,  Dieter Fox

IPC分类号： B25J9/16 ,  B25J11/00 ,  G01N15/00 ,  G06F17/18 ,  G06F18/214 ,  G06F30/27 ,  G06N3/08 ,  G06N7/01 ,  G06T7/00 ,  G06T7/77 ,  G06V10/764 ,  G06V10/82 ,  G06V20/56 ,  G06V20/64

CPC分类号： B25J9/1671 ,  B25J9/163 ,  B25J11/008 ,  G06F17/18 ,  G06F18/214 ,  G06F30/27 ,  G06N3/08 ,  G06N7/01 ,  G06T7/0004 ,  G06T7/77 ,  G06V10/764 ,  G06V10/82 ,  G06V20/56 ,  G06V20/64 ,  G01N15/00 ,  G06T2207/10028

摘要： Apparatuses, systems, and techniques to identify at least one physical characteristic of materials from computer simulations of manipulations of materials. In at least one embodiment, physical characteristics are determined by comparing measured statistics of observed manipulations to simulations of manipulations using a simulator trained with a likelihood-free inference engine.

公开(公告)号：US12112241B2

公开(公告)日：2024-10-08

申请号：US16577699

申请日：2019-09-20

申请人： CABLE TELEVISION LABORATORIES, INC.

发明人： Jingjie Zhu ,  Karthik Sundaresan

IPC分类号： G06N20/00 ,  G06F17/18

CPC分类号： G06N20/00 ,  G06F17/18

摘要： The present disclosure generally relates to apparatus, software and methods for detecting anomalous elements in data. For example, the data can be any time series, such as but not limited to radio frequency data, temperature data, stock data, or production data. Each type of data may be susceptible to repeating phenomena that produce recognizable features of anomalous elements. In some embodiments, the features can be characterized as known patterns and used to train a machine learning model via supervised learning to recognize those features in a new data series.

公开(公告)号：US12111879B2

公开(公告)日：2024-10-08

申请号：US17366180

申请日：2021-07-02

申请人： SAMSUNG ELECTRONICS CO., LTD.

发明人： Hakgyun Kim ,  Bumsuk Chung

IPC分类号： G06F17/18 ,  G06F17/15 ,  H01L21/66

CPC分类号： G06F17/18 ,  G06F17/15 ,  H01L22/12 ,  H01L22/20

摘要： An operating method for a distribution output device includes; generating data number sets for data groups, grouping defect times according to an order in which the corresponding defects occurred in relation to each of the data number sets, calculating likelihood summations respectively corresponding to the data number sets in relation to defect times grouped in accordance with the data number sets, determining a maximum likelihood summation among the likelihood summations, determining optimal population parameter data for each of the data groups in relation to the maximum likelihood summation, and outputting a Weibull distribution for each of the data groups in relation to the optimal population parameter data for each of the data groups.

公开(公告)号：US12105842B1

公开(公告)日：2024-10-01

申请号：US18234293

申请日：2023-08-15

申请人： LEDGERDOMAIN INC.

发明人： Victor Bovee Dods ,  Leonid Alekseyev ,  Alex Read Colgan ,  Benjamin James Taylor ,  William Jack ,  Benjamin Gregory Nichols

IPC分类号： G06F21/62 ,  G06F17/18 ,  G06F18/22 ,  G06F18/23 ,  G06N3/08 ,  G06N20/00 ,  G16H20/10 ,  H04L9/00 ,  H04L9/06 ,  H04L9/40

CPC分类号： G06F21/6245 ,  G06F17/18 ,  G06F18/22 ,  G06F18/23 ,  G06F21/6227 ,  G06N3/08 ,  G06N20/00 ,  G16H20/10 ,  H04L9/0643 ,  H04L63/0838 ,  H04L63/0853 ,  H04L63/108 ,  H04L9/50

摘要： The technology disclosed allows for leveraging decentralized credentials to achieve bidirectional authentication between two actors leveraging a messaging platform/system, such as email or another text-based system, verifiable credentials (VCs), and secure web endpoints. It empowers one party (“Sender”) to send a message enclosed with a Verifiable Presentation which allows another party (“Recipient”) to authenticate the message's provenance and the identity of the sender. Moreover, the message contains a link to a secure web endpoint, where the recipient can submit a response signed by their own Verifiable Presentation, allowing the Sender to authenticate the identity of the Recipient. In this way, both participants are able to authenticate each other's identities with an additional factor of authentication, with neither participant being required to share a single service.

公开(公告)号：US12099911B2

公开(公告)日：2024-09-24

申请号：US18076494

申请日：2022-12-07

申请人： Strong Force IoT Portfolio 2016, LLC

发明人： Charles Howard Cella ,  Gerald William Duffy, Jr. ,  Jeffrey P. McGuckin ,  Mehul Desai

IPC分类号： G06N3/006 ,  B62D15/02 ,  G01M13/028 ,  G01M13/04 ,  G01M13/045 ,  G05B13/02 ,  G05B19/418 ,  G05B23/02 ,  G06F18/21 ,  G06N3/02 ,  G06N3/044 ,  G06N3/045 ,  G06N3/047 ,  G06N3/084 ,  G06N3/088 ,  G06N5/046 ,  G06N7/01 ,  G06N20/00 ,  G06Q10/04 ,  G06Q10/0639 ,  G06Q30/02 ,  G06Q30/06 ,  G06Q50/00 ,  G06V10/778 ,  G06V10/82 ,  G16Z99/00 ,  H02M1/12 ,  H03M1/12 ,  H04B17/23 ,  H04B17/309 ,  H04B17/318 ,  H04B17/345 ,  H04L1/00 ,  H04L1/18 ,  H04L1/1867 ,  H04L67/1097 ,  H04L67/12 ,  H04W4/38 ,  H04W4/70 ,  B62D5/04 ,  G05B19/042 ,  G06F17/18 ,  G06F18/25 ,  G06N3/126 ,  H01B17/40 ,  H04B17/29 ,  H04B17/40 ,  H04L5/00 ,  H04L67/306

CPC分类号： G06N3/006 ,  B62D15/0215 ,  G01M13/028 ,  G01M13/04 ,  G01M13/045 ,  G05B13/028 ,  G05B19/4183 ,  G05B19/4184 ,  G05B19/41845 ,  G05B19/4185 ,  G05B19/41865 ,  G05B19/41875 ,  G05B23/0221 ,  G05B23/0229 ,  G05B23/024 ,  G05B23/0264 ,  G05B23/0283 ,  G05B23/0286 ,  G05B23/0289 ,  G05B23/0291 ,  G05B23/0294 ,  G05B23/0297 ,  G06F18/2178 ,  G06N3/02 ,  G06N3/044 ,  G06N3/045 ,  G06N3/047 ,  G06N3/084 ,  G06N3/088 ,  G06N5/046 ,  G06N7/01 ,  G06N20/00 ,  G06Q10/04 ,  G06Q10/0639 ,  G06Q30/02 ,  G06Q30/0278 ,  G06Q30/06 ,  G06Q50/00 ,  G06V10/7784 ,  G06V10/82 ,  G16Z99/00 ,  H02M1/12 ,  H03M1/12 ,  H04B17/23 ,  H04B17/309 ,  H04B17/318 ,  H04B17/345 ,  H04L1/0002 ,  H04L1/0041 ,  H04L1/18 ,  H04L1/1874 ,  H04L67/1097 ,  H04L67/12 ,  H04W4/38 ,  H04W4/70 ,  B62D5/0463 ,  G05B19/042 ,  G05B23/02 ,  G05B23/0208 ,  G05B2219/32287 ,  G05B2219/35001 ,  G05B2219/37337 ,  G05B2219/37351 ,  G05B2219/37434 ,  G05B2219/37537 ,  G05B2219/40115 ,  G05B2219/45004 ,  G05B2219/45129 ,  G06F17/18 ,  G06F18/21 ,  G06F18/217 ,  G06F18/25 ,  G06N3/126 ,  H01B17/40 ,  H04B17/29 ,  H04B17/40 ,  H04L1/0009 ,  H04L5/0064 ,  H04L67/306 ,  Y02P80/10 ,  Y02P90/02 ,  Y02P90/80 ,  Y04S50/00 ,  Y04S50/12 ,  Y10S707/99939

摘要： System and methods for learning data patterns predictive of an outcome are described. An example system may include a plurality of input sensors communicatively coupled to a controller; a data collection circuit structured to collect output data from the plurality of input sensors; and a machine learning data analysis circuit structured to receive the output data, learn received output data patterns indicative of an outcome, and learn a preferred input data collection band among a plurality of available input data collection bands. The machine learning data analysis circuit may be structured to learn received output data patterns by being seeded with a model based on industry-specific feedback. The outcome may be at least one of: a reaction rate, a production volume, or a required maintenance.

公开(公告)号：US12099838B2

公开(公告)日：2024-09-24

申请号：US17132464

申请日：2020-12-23

申请人： Intel Corporation

发明人： Deepti Aggarwal ,  Michael Espig ,  Chekib Nouira ,  Robert Valentine ,  Mark Charney

IPC分类号： G06F17/18 ,  G06F9/30 ,  G06F9/38 ,  G06F17/16

CPC分类号： G06F9/3001 ,  G06F9/3802 ,  G06F9/3818 ,  G06F17/16 ,  G06F17/18

摘要： In an embodiment, a processor includes: a fetch circuit to fetch instructions, the instructions including a sum of squared differences (SSD) instruction; a decode circuit to decode the SSD instruction; and an execution circuit to, during an execution of the decoded SSD instruction, generate an SSD output vector based on a plurality of input vectors, the SSD output vector including a plurality of squared differences values. Other embodiments are described and claimed.

公开(公告)号：US12099157B2

公开(公告)日：2024-09-24

申请号：US18093131

申请日：2023-01-04

申请人： PGS Geophysical AS

发明人： Geir Andre Motzfeldt Drange ,  Ian David Sorby

IPC分类号： G01V1/38 ,  G01V1/22 ,  G01V1/28 ,  G01V1/30 ,  G06F17/18

CPC分类号： G01V1/3808 ,  G01V1/223 ,  G01V1/282 ,  G01V1/307 ,  G06F17/18 ,  G01V2210/32 ,  G01V2210/48

摘要： One or more first sensors may be configured to sense seismic signals and one or more second sensors may be configured to sense electromagnetic crosstalk signals. The second sensors are not responsive to the seismic signals. The data from the first and second sensors may be recorded as first data and second data, respectively. The first data may be modified based on the second data to remove the electromagnetic crosstalk noise form the seismic data.