Abstract: The present disclosure is concerned with magneto-patterned cell-laden hydrogel materials and methods of making and using those materials. The disclosed materials are useful for, among other things, repair of tissue defects, e.g., tissue at a tissue interface such as a bone-cartilage interface.

Abstract: A wearable audio device, such as a hearing aid is provided. The wearable audio device includes a BTE microphone, a front-of-ear microphone, an adaptive filter, a subtractor circuit, and an acoustic transducer. The BTE microphone generates a BTE microphone signal. The BTE microphone may be arranged behind an ear of a user. The front-of-ear microphone generates a front-of-ear microphone signal. The front-of-ear microphone may be arranged within an ear canal or a concha of the ear of the user. The adaptive filter generates an adapted signal based on the BTE microphone signal and an error signal. The subtractor circuit generates the error signal based on the adapted signal and the front-of-ear microphone signal. The acoustic transducer generates audio based on the adapted signal. In some examples, the wearable audio device includes a plurality of BTE microphones configured as a directional microphone array.

Abstract: In some examples, a first computing device associated with a first site may receive a certificate of a second computing device associated with a second site that is different from the first site. The first computing device may send, to the second computing device, a credential of a user associated with the second site. In addition, the first computing device may send to the second computing device, a certificate of the first computing device. Furthermore, based at least on authentication of the credential of the user by the second computing device, trusted communications may be established between the first computing device and the second computing device.

Abstract: There are provided systems and methods for prognostic analytics of an asset. For example, there is provided a system for monitoring a reliability of a component of an asset. The system includes a processor and a memory comprising instructions that, when executed by the processor, cause it to perform certain operations. These operations may include receiving input data, which can include performance data relating to the component, configuration data relating to the component, and statistical data relating to a plurality of assets. The operations can further include providing a pre-emptive recommendation for the component based on the input data.

Abstract: The present disclosure is concerned with magneto-patterned cell-laden hydrogel materials and methods of making and using those materials. The disclosed materials are useful for, among other things, repair of tissue defects, e.g., tissue at a tissue interface such as a bone-cartilage interface.

Abstract: Techniques for user authentication via in-ear acoustic measurements are disclosed. An in-ear device emits an acoustic signal and detects an otic response to the acoustic signal. A user signature is generated based at least on the otic response to the acoustic signal. The user signature is compared with a reference signature, to determine whether the in-ear device has changed users.

Abstract: In some examples, a system may receive, from a user device, a user request for a storage operation related to storage of data at a storage. An update may be added to an update queue to persist the storage operation prior to sending a response to the user device indicating performance of the storage operation. For instance, adding the update to the update queue may include sending a request to cause the update to be added to the update queue based on specifying a type of the storage operation and/or a state to be achieved by the storage operation. Additionally, information about the update may be sent to another processor for adding the update to another update queue managed by the other processor. Subsequently, the update may be obtained from the update queue and processed to perform the storage operation.

Abstract: Various implementations include hearing assist devices and systems for processing audio signals. In particular implementations, a process includes receiving an input signal via a microphone; performing a sound pressure level (SPL) shift that decreases a gain of the input signal to generate a gain reduced audio signal; amplifying the gain reduced audio signal using dynamic range compression to generate an amplified audio signal; generating a noise reduced amplified signal using active noise reduction that simultaneously processes the input signal; and outputting the noise reduced amplified signal to an electrodynamic transducer.

Abstract: Example implementations relate to provisioning a deduplication data store. An example includes receiving inputs indicating an expected data amount and at least one retention period for the deduplication data store; performing a comparison of the at least one retention period to a stored data structure; determining at least one storage multiplier based on the comparison of the at least one retention period to the stored data structure; and determining an amount of storage to provision for the deduplication data store based on the expected data amount and the at least one storage multiplier.

Abstract: A sales system includes workflows defined for a sales opportunity with one or more stages in each of the workflows. Among the workflows, workflows for budget, interest, time, and human notions of deal progress may provide a dimensional view of deal progress and intervention strategy. The sales system determines recommended actions to progress the sales opportunity in response to a state of the sales opportunity in the one or more stages. The sales system further determines a deal score, probability of success, or value based on progress within the workflows and system variables. The behaviour of the recommendation system is determined by configured rules that specify how to simulate scenarios, as in a Markov decision process setting. An artificial intelligence component infers the optimal action recommendations from the simulation. A sales representative may track their progress in closing their deal through a deal score, as in a game.

Abstract: Various embodiments of the present application set forth a computer-implemented method comprising aggregating positional signals that were received from device sensors, where each positional signal has an observed signal strength, identifying a subset of the positional signals, where each positional signal in the subset was received by a device sensor while the device sensor was located within the physical location, for each positional signal, generating, by an estimation device and based at least on a position of the device sensor, an approximate object height for an object located at the physical location, for each approximate object height, determining an expected signal strength for the positional signal corresponding to the approximate object height, generating a cost value that is based on a difference between the expected signal strength and the observed signal strength, and determining, by the estimation device and based on the cost values, an estimated object height.

Abstract: A product label printing and checking system, comprising data processing means configured to: control the printing of product labels; control the acquisition and reception of images of the printed labels by an image acquisition device such as an optical scanner; and check the printed labels for defects, wherein each printed label accords with a label format specification for that label, whereby the label has a common layout and comprises printed product-related information located in one or more regions on the label, wherein the data processing means includes a label checking module in which there is provided a reference image of the label, and the checking module is configured so that the acquired images are sequentially compared against the reference image according to pre-determined quality control indicators relating to the expected information content and location in the label regions, and wherein the label is flagged for review or rejection if it is non-compliant.

Abstract: Vehicle interior object management uses analysis for detection of an object within a vehicle. The object can include a cell phone, a computing device, a briefcase, a wallet, a purse, or luggage. The object can include a child or a pet. A distance between an occupant and the object can be calculated. The object can be within a reachable distance of the occupant. Two or more images of a vehicle interior are collected using imaging devices within the vehicle. The images are analyzed to detect an object within the vehicle. The object is classified. A level of interaction is estimated between an occupant of the vehicle and the object within the vehicle. The object can be determined to have been left behind once the occupant leaves the vehicle. A control element of the vehicle is changed based on the classifying and the level of interaction.

Abstract: Various aspects include approaches for managing tinnitus in a user. In some particular aspects, a computer-implemented method of managing tinnitus of a user with at least one wearable device includes: actuating, according to a prescribed pattern and using the at least one wearable device: a) an electro-acoustic transducer to provide an audio output to the user, and b) a contact element to apply vibration to a body part of the user, where the prescribed pattern both stimulates the nervous system of the user and delivers a sound to the user, which together mitigate the tinnitus.

Abstract: Example implementations relate to provisioning a deduplication data store. An example includes receiving inputs indicating an expected data amount and at least one retention period for the deduplication data store; performing a comparison of the at least one retention period to a stored data structure; determining at least one storage multiplier based on the comparison of the at least one retention period to the stored data structure; and determining an amount of storage to provision for the deduplication data store based on the expected data amount and the at least one storage multiplier.

Abstract: Vehicular in-cabin sensing is performed using machine learning. In-cabin sensor data of a vehicle interior is collected. The in-cabin sensor data includes images of the vehicle interior. An occupant is detected within the vehicle interior. The detecting is based on identifying an upper torso of the occupant, using the in-cabin sensor data. The imaging is accomplished using a plurality of imaging devices within a vehicle interior. The occupant is located within the vehicle interior, based on the in-cabin sensor data. An additional occupant within the vehicle interior is detected. A human perception metric for the occupant is analyzed, based on the in-cabin sensor data. The detecting, the locating, and/or the analyzing are performed using machine learning. The human perception metric is promoted to a using application. The human perception metric includes a mood for the occupant and a mood for the vehicle. The promoting includes input to an autonomous vehicle.

Abstract: Various implementations include conversation assistance audio devices with settings that are adjustable based upon user feedback. In some cases, a computer-implemented method of personalizing a conversation assistance audio device includes: receiving a command from a user for assistance with audio settings in the conversation assistance audio device; applying a baseline set of audio settings to the conversation assistance audio device in response to receiving the user command for assistance; receiving a user command to change the baseline set of audio settings; and applying a modified set of audio settings to the conversation assistance audio device in response to receiving the user command to change the baseline set of audio settings, wherein the modified set of audio settings are applied based upon usage of the conversation assistance audio device and a population model of usage of similar conversation assistance audio devices.