Amazon Technologies, Inc. patent applications on August 1st, 2024

Patent Applications by Amazon Technologies, Inc. on August 1st, 2024

Amazon Technologies, Inc.: 7 patent applications

Amazon Technologies, Inc. has applied for patents in the areas of G10L15/22 (3), G06F3/16 (2), G06N20/00 (2), G06N5/04 (1), G06F15/78 (1) G10L15/22 (2), G06F3/167 (1), G06F12/1491 (1), G06F18/2155 (1), G06F21/6245 (1)

With keywords such as: data, software, language, user, configuration, output, component, input, learning, and include in patent application abstracts.

Patent Applications by Amazon Technologies, Inc.

20240256219. SPEECH PROCESSING AND MULTI-MODAL WIDGETS_simplified_abstract_(amazon technologies, inc.)

Inventor(s): Nhat Vu Doan of Seattle WA (US) for amazon technologies, inc., Nicholas Adam Cummings of Lynnwood WA (US) for amazon technologies, inc., Prashant Jayaram Thakare of Sammamish WA (US) for amazon technologies, inc., Jalaj Kumar of Seattle WA (US) for amazon technologies, inc., Ganesh Prabu Ravi of Seattle WA (US) for amazon technologies, inc., Chih-Shin Wang of Bellevue WA (US) for amazon technologies, inc., Narenda Gyanchandani of Sammamish WA (US) for amazon technologies, inc.

IPC Code(s): G06F3/16, G10L15/197, G10L15/22

CPC Code(s): G06F3/167

Abstract: techniques for performing speech processing using multi-modal widget information are described. a system may receive input data corresponding to a user input. the system may also receive widget context data corresponding to one or more multi-modal widgets active at a device. the system may use the widget context data to perform natural language understanding (nlu) processing with respect to the user input, and for selecting a skill component for responding to the user input. the system may send a widget identifier to the skill component when invoking the skill to respond to the user input.

20240256470. SECURITY VULNERABILITY MITIGATION USING HARDWARE-SUPPORTED CONTEXT-DEPENDENT ADDRESS SPACE HIDING_simplified_abstract_(amazon technologies, inc.)

Inventor(s): Nathan Yong Seng Chong of Ponte Vedra FL (US) for amazon technologies, inc., Karimallah Ahmed Mohammed Raslan of Leander TX (US) for amazon technologies, inc.

IPC Code(s): G06F12/14, G06F21/57

CPC Code(s): G06F12/1491

Abstract: a system, method and processor that mitigates security vulnerabilities using context-dependent address space hiding. in some embodiments, a hardware mechanism allows a more-privileged software component managing multiple less-privileged software components to blind itself against “out-of-context” less-privileged software components. the hardware mechanism can allow the more-privileged software component to dynamically hide a portion of the more-privileged address space related to the “out-of-context” less-privileged software components, based on knowledge of the “in-context” less-privileged software component. a context register is set with a value from which an address range, within the address space of the more-privileged software component, can be determined, where the address range is associated with a first less-privileged software component can be determined. when the more-privileged software component attempts to access data from other less-privileged software components, it is prevented from accessing such data, based at least in part on the context register.

20240256636. ARTIFICIAL INTELLIGENCE SYSTEM FOR MEDIA ITEM CLASSIFICATION USING TRANSFER LEARNING AND ACTIVE LEARNING_simplified_abstract_(amazon technologies, inc.)

Inventor(s): Fedor Zhdanov of Seattle WA (US) for amazon technologies, inc., Emanuele Coviello of San Diego CA (US) for amazon technologies, inc., Benjamin Alexei London of Seattle WA (US) for amazon technologies, inc.

IPC Code(s): G06F18/214, G06F16/635, G06F16/68, G06F18/23, G06N20/00, G10L19/00

CPC Code(s): G06F18/2155

Abstract: at an artificial intelligence system, training iterations of a first machine learning model are implemented. in a particular iteration, a group of data items are selected from an item collection using active learning, and respective labels selected from a set of tags are obtained for at least some of the items of the group. using feature processing elements of a different machine learning model, a respective feature set corresponding to individual labeled items is generated in the iteration, and the feature sets are included in a training set used to train the first machine learning model. a trained version of the first machine learning model is stored after a training completion criterion is met.

20240256704. EFFICIENT STATISTICAL TECHNIQUES FOR DETECTING SENSITIVE DATA_simplified_abstract_(amazon technologies, inc.)

Inventor(s): Aurelian Tutuianu of Iasi (RO) for amazon technologies, inc., Daniel Voinea of Iasi (RO) for amazon technologies, inc., Petru-Serban Cehan of Iasi (RO) for amazon technologies, inc., Silviu Catalin Poede of Iasi (RO) for amazon technologies, inc., Adrian Cadar of Iasi (RO) for amazon technologies, inc., Marian-Razvan Udrea of Iasi (RO) for amazon technologies, inc., Brent Gregory of Iasi (RO) for amazon technologies, inc.

IPC Code(s): G06F21/62, G06F16/2458, G06F16/29, G06N5/04, G06N20/00

CPC Code(s): G06F21/6245

Abstract: a candidate attribute combination of a first data set is identified, such that the candidate attribute combination meets a data type similarity criterion with respect to a collection of data types of sensitive information for which the first data set is to be analyzed. a collection of input features is generated for a machine learning model from the candidate attribute combination, including at least one feature indicative of a statistical relationship between the values of the candidate attribute combination and a second data set. an indication of a predicted probability of a presence of sensitive information in the first data set is obtained using the machine learning model.

20240257808. CROSS-ASSISTANT COMMAND PROCESSING_simplified_abstract_(amazon technologies, inc.)

Inventor(s): Robert John Mars of Los Gatos CA (US) for amazon technologies, inc.

IPC Code(s): G10L15/22, G06F40/47, G10L13/02, G10L15/08, G10L15/18, G10L15/30

CPC Code(s): G10L15/22

Abstract: a speech-processing system may provide access to one or more virtual assistants via a voice-controlled device. a user may leverage a first virtual assistant to translate a natural language command from a first language into a second language, which the device can forward to a second virtual assistant for processing. the device may receive a command from a user and send input data representing the command to a first speech-processing system representing the first virtual assistant. the device may receive a response in the form of a first natural language output from the first speech-processing system along with an indication that the first natural language output should be directed to a second speech-processing system representing the second virtual assistant. for example, the command may be in the first language, and the first natural language output may be in the second language, which is understandable by the second speech-processing system.

20240257809. MULTI-DEVICE OUTPUT MANAGEMENT_simplified_abstract_(amazon technologies, inc.)

Inventor(s): Ezekiel Wade Sanborn de Asis of Santa Clara CA (US) for amazon technologies, inc.

IPC Code(s): G10L15/22, G06F3/16

CPC Code(s): G10L15/22

Abstract: a system is provided for modifying how an output is presented via a multi-device synchronous configuration based on detecting a speech characteristic in the user input. for example, if the user whispers a request, then the system may temporarily modify how the responsive output is presented to the user via multiple devices. in one example, the system may lower the volume on all devices presented the output. in another example, the system may present the output via a single device rather than multiple devices. the system may also determine to operate in an alternate output mode based on certain non-audio data.

20240259354. LOGIC REPOSITORY SERVICE USING ENCRYPTED CONFIGURATION DATA_simplified_abstract_(amazon technologies, inc.)

Inventor(s): Islam Mohamed Hatem Abdulfattah Mohamed Atta of Vancouver (CA) for amazon technologies, inc., Christopher Joseph Pettey of Cedar Park TX (US) for amazon technologies, inc., Nafea Bshara of San Jose CA (US) for amazon technologies, inc., Asif Khan of Cedar Park TX (US) for amazon technologies, inc., Mark Bradley Davis of Austin AZ (US) for amazon technologies, inc., Prateek Tandon of Issaquah WA (US) for amazon technologies, inc.

IPC Code(s): H04L9/40, G06F9/50, G06F15/78, H04L9/32

CPC Code(s): H04L63/0428

Abstract: the following description is directed to a logic repository service. in one example, a method of a logic repository service can include receiving a first request to generate configuration data for configurable hardware using a specification for application logic of the configurable hardware. the method can include generating the configuration data for the configurable hardware. the configuration data can include data for implementing the application logic. the method can include encrypting the configuration data to generate encrypted configuration data. the method can include signing the encrypted configuration data using a private key. the method can include transmitting the signed encrypted configuration data in response to the request.

Amazon Technologies, Inc. patent applications on August 1st, 2024