Abstract: A system and related method reduce public cloud provisioning latencies using one or more processors. The method comprises, prior to receiving a volume provisioning request from a user, creating a pool of pre-provisioned generic volumes. The method further comprises receiving the request from the user to provision a volume from the pool, and then determining that a pre-provisioned generic volume is available for customization based on the request. Responsive to the determination, the method executes the actions comprising customizing the pre-provisioned generic volume based on the request, creating a custom volume, and providing the customized pre-provisioned volume to the user.

Abstract: A method of operating a memory device that includes the steps of receiving a read command and a target address in a non-volatile memory (NVM) array, in which the NVM array is divided into a plurality of blocks based on row and column addresses, performing a read operation on NVM cells in the target address and coupling an output of each NVM cell read to a sensing circuit, generating a local reference voltage based on a base reference voltage and an adjustment reference voltage corresponding to the target address of the NVM cells being read and a block that the NVM cells belong thereto, and offsetting the base reference voltage with the adjustment reference voltage, and coupling the local reference voltage to the sensing circuit. Other embodiments are also described.

Abstract: Embodiments of the present disclosure provide a temperature sensor that may be integrated into a memory device along with a 1T1C reference voltage generator to enable the 1T1C reference voltage generator to provide a temperature dependent 1T1C reference voltage to a memory core (e.g., F-RAM memory core) of the memory device. The temperature sensor may detect a temperature of the memory core, and output this information (e.g., as a trim) for use by the 1T1C reference voltage generator in providing a temperature dependent 1T1C reference voltage. In this way, both the P-term and U-term margins of the memory core may be maintained even as a temperature of the memory core increases.

Abstract: A system includes a sound mixer and a computing device comprising a computer program. The computer program includes head-related transfer functions (HRTFs) generated for an object representing a human head by placing the object in each seat of a plurality of vehicles. The computer program is configured to generate a graphical user interface (GUI) on the computing device to allow a user of the sound mixer to select one of the vehicles a seat in the one of the vehicles, receive an image of an ear of the user, generate HRTFs of the user based on the image of the ear, replace the HRTFs of the object with the HRTFs of the user, receive an input audio signal from the sound mixer, generate an output audio signal based on the input audio signal and the HRTFs of the user, and provide the output audio signal to headphones of the user.

Abstract: A method includes receiving an input head-related transfer function (HRTF) and applying a shaping function to the input HRTF to generate a shaped HRTF having a minimum strength at a first point in a three-dimensional space, a maximum strength at a second point in the three-dimensional space, and a gradually increasing strength between the first point and the second point in the three-dimensional space. A system includes a processor and memory storing instructions which when executed by the processor cause the processor to apply a shaping function to an HRTF to generate a shaped HRTF having a minimum strength at a first point in a three-dimensional space, a maximum strength at a second point in the three-dimensional space, and a gradually increasing strength between the first point and the second point in the three-dimensional space.

Abstract: A system comprises a sound source to output an audio signal to a plurality of speakers arranged in a plurality of locations in a vehicle. A laser device is disposed on an object representing a human head placed in a seat of the vehicle to scan the locations of the speakers. A microphone is disposed in each ear of the object. A controller routes the audio signal to the speakers one speaker at a time, receives audio signals received via the microphones, and compiles binaural acoustic data for the vehicle based on the audio signals received via the microphones. The controller receives scan data from the laser device and generates geometric data for the vehicle based on the scan data. The controller generates head-related transfer functions (HRTFs) for the object based on the binaural acoustic data and the geometric data for the vehicle.

Abstract: A method of operating a memory device that includes the steps of receiving a read command and a target address in a non-volatile memory (NVM) array, in which the NVM array is divided into a plurality of blocks based on row and column addresses, performing a read operation on NVM cells in the target address and coupling an output of each NVM cell read to a sensing circuit, generating a local reference voltage based on a base reference voltage and an adjustment reference voltage corresponding to the target address of the NVM cells being read and a block that the NVM cells belong thereto, and offsetting the base reference voltage with the adjustment reference voltage, and coupling the local reference voltage to the sensing circuit. Other embodiments are also described.

Abstract: Methods, systems, and program products for generating a virtual studio are disclosed. In one embodiment a method includes processing image information for at least one pinna of a user to generate a head-related transfer function (HRTF) profile of the user. A studio model that includes a studio-specific acoustic profile is accessed such as by a virtual studio client application executing on a laptop. An audio configuration of the studio model is selected based on the studio-specific acoustic profile. An audio media source is activated and the audio configuration is applied in combination with the HRTF profile of the user to audio generated by the audio media source.

Abstract: A method comprising determining a plurality of configurations for a machine learning workflow characterizing a pinna to predict a head related transfer function defining transformation of sound by the pinna. Each of the configurations comprises parameters for constructing and executing the machine learning workflow, a program code to be used for executing the machine learning workflow, and machine learning models to be used for tasks in the machine learning workflow. The method comprises generating a plurality of identifiers for the plurality of configurations, respectively, based on the machine learning models and the parameters by normalizing and encoding. The method comprises executing the machine learning workflow in accordance with the selected one of the configurations, analyzing results of the execution of the machine learning workflow to generate a metric, and storing results of the execution of the machine learning workflow along with the one of the identifiers and the metric.

Abstract: An application such as a machine learning workflow manager executes a machine learning workflow utilizing varying sets of parameters and tracks the utilized parameters and performance metrics for each execution. The manager generates a unique experiment identifier (ID) for each set of parameters used for executing a workflow and stores the experiment ID and the set of parameters along with results of the execution, e.g., performance metrics, output data, program code, etc. In some implementations, the manager can algorithmically generate sets of parameters for experiments of the workflow. Once experimentation for the workflow is complete, the manager utilizes the stored performance metrics to identify an experiment which exhibited the best performance and can retrieve the set of parameters, output data, or generated program code for deployment of the workflow using the associated experiment ID.

Abstract: A memory device including a reference voltage (VREF) generator and method for operating the same to improve memory sensing margin, and extend operational temperature range and life of the device are disclosed. Generally, the device further includes an array of non-volatile memory cells divided into a plurality of blocks, a sensing circuit coupled to the array to receive and compare memory signals therefrom to the VREF to read data from the cells. The Local reference voltage generator is configured to provide one of a number of reference voltages to the sensing circuit based on which of the blocks is being read. The array can be divided based on row and column addresses of cells in the blocks. Where the cells include 1T1C ferroelectric random access memory (F-RAM) cells, and the reference voltages are selected based on a lowest P-term or highest U-term of the cells in the block being read.

Abstract: Embodiments of the present disclosure provide a temperature sensor that may be integrated into a memory device along with a 1T1C reference voltage generator to enable the 1T1C reference voltage generator to provide a temperature dependent 1T1C reference voltage to a memory core (e.g., F-RAM memory core) of the memory device. The temperature sensor may detect a temperature of the memory core, and output this information (e.g., as a trim) for use by the 1T1C reference voltage generator in providing a temperature dependent 1T1C reference voltage. In this way, both the P-term and U-term margins of the memory core may be maintained even as a temperature of the memory core increases.

Abstract: A system comprises a sound source to output an audio signal to a plurality of speakers arranged in a plurality of locations in a vehicle. A laser device is disposed on an object representing a human head placed in a seat of the vehicle to scan the locations of the speakers. A microphone is disposed in each ear of the object. A controller routes the audio signal to the speakers one speaker at a time, receives audio signals received via the microphones, and compiles binaural acoustic data for the vehicle based on the audio signals received via the microphones. The controller receives scan data from the laser device and generates geometric data for the vehicle based on the scan data. The controller generates head-related transfer functions (HRTFs) for the object based on the binaural acoustic data and the geometric data for the vehicle.

Abstract: A memory device including a reference voltage (VREF) generator and method for operating the same to improve memory sensing margin, and extend operational temperature range and life of the device are disclosed. Generally, the device further includes an array of non-volatile memory cells divided into a plurality of blocks, a sensing circuit coupled to the array to receive and compare memory signals therefrom to the VREF to read data from the cells. The Local reference voltage generator is configured to provide one of a number of reference voltages to the sensing circuit based on which of the blocks is being read. The array can be divided based on row and column addresses of cells in the blocks. Where the cells include 1T1C ferroelectric random access memory (F-RAM) cells, and the reference voltages are selected based on a lowest P-term or highest U-term of the cells in the block being read.

Abstract: Methods, systems, and program products for generating a virtual studio are disclosed. In one embodiment a method includes processing image information for at least one pinna of a user to generate a head-related transfer function (HRTF) profile of the user. A studio model that includes a studio-specific acoustic profile is accessed such as by a virtual studio client application executing on a laptop. An audio configuration of the studio model is selected based on the studio-specific acoustic profile. An audio media source is activated and the audio configuration is applied in combination with the HRTF profile of the user to audio generated by the audio media source.

Abstract: A device can receive a specification identifying information associated with a stateful microservices application. The device can provide a request for storage information associated with the stateful microservices application based on the information included in the specification. The device can receive the storage information based on providing the request. The device can execute a storage installation procedure to provide the stateful microservices application with a storage volume based on receiving the storage information. The storage volume can be capable of providing persistent data storage. The device can provide a notification that the stateful microservices application is available for deployment on the device based on executing the storage installation procedure.

Abstract: A first microphone on a first earpiece of a personal audio delivery device measures a first head related transfer function (HRTF) associated with a sound source. A second microphone on an earpiece of a personal audio delivery device measures a second HRTF associated with the sound source. An interaural time difference (ITD) is determined based on the first HRTF and second HRTF. A determination is made that the sound source is located in a first region based on the interaural time difference. A determination is made that the sound source is located in a second region within the first region based on the ITD of the first HRTF and the second HRTF and an ITD associated with third HRTFs for the second region. A location of the sound source is determined within the second region, which in some examples, is improved with a Kalman filter model.

Abstract: A device can receive information indicating a set of instructions associated with a microservices application, where the microservices application is associated with one or more microservices. The device can generate a deployment specification. The device can deploy one or more containers and one or more replicate containers. The one or more containers and the one or more replicate containers are associated with the one or more microservices. The one or more containers and the one or more replicate containers can be associated with a distributed file system. The device can receive information associated with modifying the one or more microservices. The device can modify the one or more microservices, as one or more modified microservices, based on receiving the information associated with modifying the one or more microservices. The device can deploy the one or more modified microservices.

Abstract: A video is received from a video capture device. The video capture device has a front facing camera and a display screen which displays the video captured by the video capture device in real time to a user. One or more images of a pinna and head of the user in the video are used to automatically determine one or more features associated with the user. The one or more features include an anatomy of the user, a demographic of the user, a latent feature of the user, and an indication of an accessory worn by the user. Based on the one or more features and one or more HRTF models, a head related transfer function (HRTF) is determined which is personalized to the user.

Abstract: An image of a pinna is captured. Based on the image of the pinna, a non-linear transfer function is determined which characterizes how sound is transformed at the pinna. A signal is output indicative of one or more audio cues to facilitate spatial localization of sound via the pinna, where the one or more audio cues is based on the non-linear transfer function.