Abstract: The invention relates to computer-implemented systems and methods for implementing a verified digital asset platform. An embodiment of the present invention is directed to enabling companies to provide professional recognition awards to employees utilizing digital assets, such as NFT (Non-Fungible Tokens). With an embodiment of the present invention, a digital wallet may store public and private keys and allow the owner to perform various actions including access assets, manage assets and sign transactions.

Abstract: The subject technology provides a framework for generating physiological predictions for a user of an electronic device. The physiological predictions may include user-specific predictions of a heartrate, a heartrate range, a number of steps, a number of calories, or other physiological conditions or aspects that may occur if the user engages in a future activity, such as a future workout. The physiological predictions may be generated by a machine learning model that incorporates a physiological state equation, and that generates, and utilizes, a user-specific embedding, along with user-agnostic parameters of the future activity, to make the predictions.

Abstract: Methods, devices, apparatuses and systems are disclosed for performing mammography, such as utilizing tomosynthesis in combination with breast biopsy.

Abstract: Data protection in a storage system that includes a plurality of Non-Volatile Memory Express (‘NVMe’) Solid State Drives (‘SSDs’), including: retrieving, from a plurality of NVMe SSDs (‘Non-Volatile Memory Express Solid State Drives’) of a storage system, one or more unencrypted shares of a master secret; reconstructing the master secret using the shares of the master secret; decrypting one or more encrypted device keys using the master secret; and using the decrypted device keys to perform a plurality of accesses to one or more of the NVMe SSDs.

Abstract: Systems are provided for an air compressor system. In one example, a system includes a housing, a piston arranged in the housing, and a crankshaft arranged in the housing, the crankshaft coupled to a connecting rod of the piston, and the crankshaft forces the piston to oscillate from a first end of the housing to a second end, the piston pressurizing air in the housing to a first pressure at the first end and to a second pressure at the second end, the second pressure greater than the first.

Abstract: Disclosed herein are self-assembling protein nanoparticles comprising passenger molecules of interest.

Abstract: A method of secure data deletion in a multitenant environment, performed by a storage system is provided. The method includes associating a key with a tenant, in the multitenant environment, as a result of the storage system receiving data from the tenant through a virtual local area network (VLAN) or from an Internet protocol (IP) address. The method includes storing the data, encrypted by the key, in the storage system, and determining that the key, as retained in the storage system, is to be deleted, so that the data is to be inaccessible in unencrypted form, responsive to a request from the tenant to delete the data.

Abstract: Methods and systems provide for search results within segmented communication session content. In one embodiment, the system receives a transcript and video content of a communication session between participants, the transcript including timestamps for a number of utterances associated with speaking participants; processes the video content to extract textual content visible within the frames of the video content; segments frames of the video content into a number of contiguous topic segments; determines a title for each topic segment; assigns a category label for each topic segment; receives a request from a user to search for specified text within the video content; determines one or more titles or category labels for which a prediction of relatedness with the specified text is present; and presents content from at least one topic segment associated with the one or more titles or category labels for which a prediction of relatedness is present.

Abstract: Methods and systems provide for deal forecasting within a communication platform. In one embodiment, the system processes a communication session to provide analytics data for the session; receives internal data associated with a user of a communication platform pertaining to a deal, the internal data including internal analytics data for the deal derived from the communication session and one or more additional communication sessions; receives, from a CRM platform, updated CRM data pertaining to the deal; ingests the internal data and the updated CRM data into a standardized data repository; determines, via a model trained on the standardized internal data and updated CRM data, an outcome prediction for the deal; and provides, to one or more client devices, access to a presentation of the outcome prediction for the deal.

Abstract: A method for multi-channel voice activity detection includes receiving a sequence of input frames characterizing streaming multi-channel audio captured by an array of microphones. Each channel of the streaming multi-channel audio includes respective audio features captured by a separate dedicated microphone. The method also includes determining, using a location fingerprint model, a location fingerprint indicating a location of a source of the multi-channel audio relative to the user device based on the respective audio features of each channel of the multi-channel audio. The method also includes generating an output from an application-specific classifier. The first score indicates a likelihood that the multi-channel audio corresponds to a particular audio type that the particular application is configured to process.

Abstract: An illustrative method includes determining that a total amount of read traffic and write traffic processed by a storage system during a time period exceeds a threshold; determining a first compressibility metric associated with the write traffic; determining a second compressibility metric associated with the read traffic; determining, based on a comparison of the first compressibility metric with the second compressibility metric, that the write traffic is less compressible than the read traffic; determining, based on the total amount of read traffic and write traffic exceeding the threshold and on the write traffic being less compressible than the read traffic, that the storage system is possibly being targeted by a security threat; and modifying, in response to the determining that the storage system is possibly being targeted by the security threat, a data protection parameter set for one or more recovery datasets generated by the storage system.

Abstract: A sample that includes a target structure with a structure-of-interest (SOI) having a set of known parameters optically coupled to an unknown structure, e.g., having unknown parameters, is optically measured using light that is incident on the target structure. Light detected from the target structure in response to the incident illumination light incident is used to obtain metrology data, which is a combination of a from the SOI and a contribution from the unknown structure. A set of parameter values characterizing the SOI and a set of parameter values characterizing the unknown structure are determined from a trained neural network based on the metrology data.

Abstract: Various embodiments of an interface control subsystem may be used between an electrode terminal and a recording terminal of a neurostimulation and neurorecording system. The interface control subsystem may operate in three modes. In a disable mode, a first transistor and a second transistor disposed between the electrode terminal and the recording terminal may operate in a cutoff region and generate a high impedance. In an active mode, the first transistor and the second transistor may operate in a saturation region and generate a low impedance. In a stimulation mode, the first transistor and the second transistor operate in a triode region and generate an impedance between the high impedance of the disable mode and the low impedance of the active mode. The interface control subsystem may further limit voltage at the recording terminal in response to a detected overvoltage condition.

Abstract: Systems, devices, and methods for transvascular ablation of target tissue. The devices and methods may, in some examples, be used for splanchnic nerve ablation to increase splanchnic venous blood capacitance to treat at least one of heart failure and hypertension. For example, the devices disclosed herein may be advanced endovascularly to a target vessel in the region of a thoracic splanchnic nerve (TSN), such as a greater splanchnic nerve (GSN) or a TSN nerve root. Also disclosed are methods of treating heart failure, such as HFpEF, by endovascularly ablating a thoracic splanchnic nerve to increase venous capacitance and reduce pulmonary blood pressure.

Abstract: A method for multi-channel voice activity detection includes receiving a sequence of input frames characterizing streaming multi-channel audio captured by an array of microphones. Each channel of the streaming multi-channel audio includes respective audio features captured by a separate dedicated microphone. The method also includes determining, using a location fingerprint model, a location fingerprint indicating a location of a source of the multi-channel audio relative to the user device based on the respective audio features of each channel of the multi-channel audio. The method also includes generating an output from an application-specific classifier. The first score indicates a likelihood that the multi-channel audio corresponds to a particular audio type that the particular application is configured to process.

Abstract: Methods and systems provide for providing dynamic chapter generation for a communication session. In one embodiment, the system connects to a communication session with a number of participants; receives a transcript of a conversation between the participants produced during the communication session, the transcript including timestamps for a number of utterances associated with speaking participants; segments the utterances into a plurality of contiguous topic segments; generates a title for each topic segment, the generating comprising: labeling one or more of the topic segments based on one or more labeling rules, extracting one or more top phrases from each topic segment, determining a ranking of the top phrases for each topic segment, and generating the title for each topic segment based on the top ranked phrase for the topic segment; and transmits, to one or more client devices, a list of the topic segments with generated titles for the communication session.

Abstract: Preparing a coated steel including the steps of hot rolling or cold rolling, slurry blasting, and coating. The step of hot rolling or cold rolling including rolling a steel ingot to form a steel strip. The step of slurry blasting including slurry blasting at least one side of the steel strip. The step of coating being performed after slurry blasting and including coating the steel strip with an aluminum-based coating.

Abstract: The present disclosure provides a new type of generalized artificial neural network where neurons and synapses maintain multiple states. While classical gradient-based backpropagation in artificial neural networks can be seen as a special case of a two-state network where one state is used for activations and another for gradients with update rules derived from the chain rule, example implementations of the generalized framework proposed herein may additionally: have neither explicit notion of nor ever receive gradients; contain more than two states; and/or implement or apply learned (e.g., meta-learned) update rules that control updates to the state(s) of the neuron during forward and/or backward propagation of information.