Abstract: Techniques are described herein for concurrent voice assistants. A method includes: providing first and second automated assistants with access to one or more microphones; receiving, from the first automated assistant, an indication that the first automated assistant has initiated a first session, and in response: continuing providing, to the first automated assistant, access to the one or more microphones; discontinuing providing, to the second automated assistant, access to the one or more microphones; and preventing the second automated assistant from accessing one or more portions of an output audio data stream; receiving, from the first automated assistant, an indication that the first session has ended, and in response: continuing providing, to the first automated assistant, access to the one or more microphones; resuming providing, to the second automated assistant, access to the one or more microphones; and resuming providing, to the second automated assistant, the output audio data stream.

Abstract: Methods, systems, and devices for imprint recovery for memory cells are described. In some cases, memory cells may become imprinted, which may refer to conditions where a cell becomes predisposed toward storing one logic state over another, resistant to being written to a different logic state, or both. Imprinted memory cells may be recovered using a recovery or repair process that may be initiated according to various conditions, detections, or inferences. In some examples, a system may be configured to perform imprint recovery operations that are scaled or selected according to a characterized severity of imprint, an operational mode, environmental conditions, and other factors. Imprint management techniques may increase the robustness, accuracy, or efficiency with which a memory system, or components thereof, can operate in the presence of conditions associated with memory cell imprinting.

Abstract: The present disclosure includes apparatuses, methods, and systems for classifying an area as hazardous or non-hazardous based on an operation of a semiconductor device. In an example, an apparatus can include a memory configured to store a global operation model and a processor coupled to the memory wherein the processor is configured to receive test data and operating data from a semiconductor device based on operation of the semiconductor device in an area, run the global operation model on the test data and the operating data from the semiconductor device to generate output data, and classify the area as hazardous or non-hazardous based on the output data.

Abstract: Exemplary substrate processing systems may include a lid plate. The systems may include a plurality of processing regions. The systems may include at least one splitter. Each splitter may include a top surface and side surfaces. Each splitter may define an inlet and a plurality of outlets. Each inlet and outlet may extend through a side surface. Each splitter may define an inlet lumen that extends from the fluid inlet to a hub. Each splitter may define a plurality of outlet lumens that each extend from the hub to one of the outlets. Each of the outlet lumens may have a same length. The systems may include a plurality of output manifolds. Each of the output manifolds may be coupled with a respective processing region. The systems may include a plurality of valves. At least one valve may be coupled between each outlet and an output manifold.

Abstract: Various embodiments include a camera with folded optics. Some embodiments include a voice coil motor (VCM) actuator module to provide autofocus (AF) and/or optical image stabilization (OIS) movement. Some embodiments include suspension arrangements. Some embodiments include flexure arrangements. In some embodiments the VCM actuator module includes an OIS actuator that tilts a prism.

Abstract: A device may receive business requirements data for implementing in a cloud data fusion system, and may process the business requirements data, with a machine learning model, to generate a transformation map for transforming the business requirements data. The device may generate code for the cloud data fusion system based on the transformation map, and may identify one or more differences between the code and previous code of the cloud data fusion system. The device may modify the code based on the one or more differences and to generate modified code, and may validate the modified code for transformation logic of the cloud data fusion system to generate final code. The device may perform one or more actions based on the final code.

Abstract: A retaining ring comprises a generally annular body. The body comprises a top surface, a bottom surface, an outer surface connected to the top surface at an outer top perimeter and the bottom surface at an outer bottom perimeter, and an inner surface connected to the top surface at an inner top perimeter and the bottom surface at an inner bottom perimeter. The inner surface comprises seven or more planar facets. Adjacent planar facets are connected at corners. The inner bottom perimeter comprises straight edges of the planar facets connected at the corners.

Abstract: The present invention provides a hand acceleration control system to control and set Engine RPM at constant speed. The hand acceleration control system is controlled by a rotating switch (20) preferable positioned on a steering wheel.

Abstract: A system for enterprise analytics may include a Machine Learning (“ML”) model data store containing at least one generic ML model and a fine-tuning data store containing prior natural language user requests and associated enterprise database queries generated by analysts. The system may also include an enterprise data store containing enterprise business data. A transformation framework may retrieve the generic ML model and fine-tune the model using the prior user requests and associated enterprise database queries to create a fine-tuned ML model. The framework may then receive a new natural language request from a user and use the fine-tuned ML model and new natural language request to automatically create a new enterprise analytics query. The new enterprise analytics query may then be executed to fetch enterprise analytics data from the enterprise data store. In some embodiments, an analytics chart may be automatically created and provided to the user.

Abstract: According to some embodiments, a device for tissue evaluation comprises a sensor housing, the sensor housing comprising a sensor head and a sensor body, where the sensor head is configured to engage with target tissue for evaluation, and a sensing element disposed within the sensor housing and configured to measure a force or reaction force of the target tissue as the device is pressed against the target tissue.

Abstract: Disclosed herein is a system and method implementing a battery avionics system for integrating battery monitoring, control, and management functions with an avionics system of an aircraft. The system uses a model implementing a battery pack digital twin, which is a continuous simulation of the operation of the battery pack within the aircraft, receives data regarding the battery pack generated by the digital twin model and provides optimized parameters to the battery avionics system. The system enables high precision, cell-level resolution control of the battery pack. The system estimates the state of charge, state of health, state of safety, and state of function of the cells and the battery pack as a whole and uses this information to manage the battery pack, given a particular flight profile of the aircraft.

Abstract: A system for enterprise analytics may include a Machine Learning (“ML”) model data store containing at least one generic ML model and a fine-tuning data store containing prior natural language user requests and associated enterprise database queries generated by analysts. The system may also include an enterprise data store containing enterprise business data. A transformation framework may retrieve the generic ML model and fine-tune the model using the prior user requests and associated enterprise database queries to create a fine-tuned ML model. The framework may then receive a new natural language request from a user and use the fine-tuned ML model and new natural language request to automatically create a new enterprise analytics query. The new enterprise analytics query may then be executed to fetch enterprise analytics data from the enterprise data store. In some embodiments, an analytics chart may be automatically created and provided to the user.

Abstract: Methods and systems associated with a machine learning model aggregation are described. A system can include a first computing device, a second computing device, a local federated server, and a global federated server. The first computing device and the second computing device can train respective first and second machine learning models based on gathered memory usage data and device characteristic data associated with a respective first plurality of memory devices and second plurality of memory devices. The local federated server can aggregate the first machine learning model and the second machine learning model into a third machine learning model. The global federated server can aggregate the third machine learning model with a fourth machine learning model comprising a plurality of aggregated machine learning models into a fifth machine learning model and predict aging of the first plurality of memory devices and the second plurality of memory devices.

Abstract: In some embodiments, a camera actuator includes an actuator base, an autofocus voice coil motor, and an optical image stabilization voice coil motor. In some embodiments, the autofocus voice coil motor includes a lens carrier mounting attachment moveably mounted to the actuator base, a plurality of shared magnets mounted to the base, and an autofocus coil fixedly mounted to the lens carrier mounting attachment for producing forces for moving a lens carrier in a direction of an optical axis of one or more lenses of the lens carrier. In some embodiments, the optical image stabilization voice coil motor includes an image sensor carrier moveably mounted to the actuator base, and optical image stabilization coils moveably mounted to the image sensor carrier within the magnetic fields of the shared magnets, for producing forces for moving the image sensor carrier in a plurality of directions orthogonal to the optical axis.

Abstract: Methods and systems for privacy-preserving identity attribute verification are presented. During an interaction between a relying entity and a user, a relying entity computer can transmit a policy token to a user device. The policy token may indicate the information needed by the relying entity in order to perform the interaction. The user device can verify the policy token, then use the policy token in conjunction with an identity token to generate a zero-knowledge proof. The user device may transmit the zero-knowledge proof to an identity service provider computer. The identity service provider computer may verify the zero-knowledge proof, then generate a verification message. The identity service provider computer may sign the verification message and transmit the signed verification message to the relying entity computer. The relying entity computer may verify the verification message and complete the interaction with the user.

Abstract: Systems and methods for threshold authenticated encryption are provided. A collection of cryptographic devices may encrypt or decrypt a message, provided that a threshold number of those devices participate in the encryption process. One cryptographic device may generate a commitment message and transmit it to the other selected devices. Those devices may each perform a partial computation using the commitment message, and transmit the partial computations back to the encrypting or decrypting device. The encrypting or decrypting device may use those partial computations to produce a cryptographic key, which may then be used to encrypt or decrypt the message.

Abstract: Example systems and methods provide input suggestions to a user to improve user experience on user devices. The input suggestions can be fill information from another app on device to the present app being used by user, information for performing a search (without the user having to copy-paste data or entering the data manually), responses to a message/notification received by the user, information/content/data to be shared between apps (without switching between apps), and emojis/GIFs that can be used by the user. The method includes analyzing one or more content of one or more screen displayed on device, generating at least one of a logical tree structure and a data mashup model of the one or more analyzed content for each screen, and providing a recommendation to a user. The recommendation can be a connected action or an input suggestion.

Abstract: A computer-implemented method of updating a malware signature data structure includes classifying an object under analysis as malicious, and computing an object signature of the object under analysis; and validating the classification, including dividing a clean object signatures data structure into a plurality of subunits; assigning the subunits to dedicated data structures; scanning the dedicated data structures, in parallel, with a plurality of scanner instances; and upon at least one scanner instance determining, above a threshold, that the object signature for the object under analysis matches the clean objects signatures data structure, rejecting the object signature for inclusion in the malware signature data structures and terminating the scanner instances.

Abstract: Fully flexible kitting processes can be automated by generating pick and place motions for multi-robot, multi-gripper, robotic systems.

Abstract: A diverter seal member for a diverter structure of a tub spout structure includes a central body, a first seal extension, and a second seal extension. The central body includes a first side and a second side. The first seal extension extends from the first side of the central body. The first seal extension includes a first extension side and an extension end. The extension end extends substantially perpendicular to the first extension end. The second seal extension extends from the second side of the central body.