Abstract: Kubeflow network protocol compatibility is implemented by modifying a manifest of a first component in a Kubeflow manifest bundle to replace an alphanumeric address within each service discovery specification with a domain name, modifying a manifest of a second component in the Kubeflow manifest bundle to replace a first network protocol identity within each application network binding specification with a second network protocol identity, and applying the manifest of the first component and the manifest of the second component within a network operating in accordance with a second network protocol.

Abstract: The present invention provides compounds of Formula I?, or pharmaceutically acceptable salts thereof, pharmaceutical compositions thereof, and methods of use thereof for treating cellular proliferative disorders (e.g., cancer).

Abstract: Systems and methods for a tightly coupled end-to-end multi-sensor fusion with integrated compensation are described herein. For example, a system includes an inertial measurement unit that produces inertial measurements. Additionally, the system includes additional sensors that produce additional measurements. Further, the system includes one or more memory units. Moreover, the system includes one or more processors configured to receive the inertial measurements and the additional measurements. Additionally, the one or more processors are configured to compensate the inertial measurements with a compensation model stored on the one or more memory units. Also, the one or more processors are configured to fuse the inertial measurements with the additional measurements using a differential filter that applies filter coefficients stored on the one or more memory units.

Abstract: A camera includes a camera focus adjustment device, a lens, and an image sensor coupled to the camera focus adjustment device. The camera focus adjustment device includes a flexure structure. The flexure structure includes an outer framework of structural members continuously interconnected by flexure notch hinges. The flexure structure also includes two inner structural members oriented in parallel and extending from the outer framework of structural members. A gap is between the two inner structural members. The camera focus adjustment device also includes a piezoelectric material within the gap and a pair of wedges within the gap. The pair of wedges is affixed to the piezoelectric material and to one inner structural member of the two inner structural members. Based on temperature-based piezoelectric activity associated with the piezoelectric material, the camera focus adjustment device is operable to move the image sensor relative to the lens.

Abstract: A vertical tunneling field-effect transistor and a method for its manufacture are provided. According to methods herein disclosed, oppositely doped source and drain regions are formed, and an APAM delta layer is formed in the surface of the transistor substrate, beneath a metal gate, in electrical contact with, e.g., the source region. A dielectric layer intervenes between the substrate surface and the metal gate. An epitaxial cap layer directly over the APAM layer forms a dielectric layer interface with a dielectric layer, which is located between the epitaxial cap layer and the metal gate. A vertical channel is defined for tunneling between the APAM delta layer and an induced conduction channel adjacent to the dielectric layer interface that is formed in operation, and that is in electrical contact with, e.g., the drain region.

Abstract: Various embodiments include a camera with a folded optics arrangement and include a voice coil motor (VCM) actuator assembly to provide autofocus (AF) and/or optical image stabilization (OIS) movement. The camera with folded optics and the associated VCM actuator assembly have a first rotational normal mode of free vibration such that lenses of the camera rotate about an optical axis of the camera such that the rotational motion in the first rotational mode of free vibration is invisible from a perspective of an image sensor of the camera.

Abstract: The present invention relates to the use of compositions containing one or more peroxyacid to control the growth of pathogens, such as Salmonella, in animal feed. Another aspect of the present invention relates to a formaldehyde-free antimicrobial composition comprising one or more peroxyacid, where the composition is capable of controlling the growth of pathogens, such as Salmonella, in animal feed. Another aspect of the present invention relates to an animal feed additive comprising a buffered peroxyacid composition that is effective at controlling the growth of pathogens while preserving the nutrient content in the animal feed, where the buffered composition is less corrosive to steel and feed mill equipment than non-buffered compositions.

Abstract: Methods, systems, and devices for imprint recovery for memory arrays 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: Systems and methods for multiple inertial measurement unit sensor fusion using machine learning are provided herein. In certain embodiments, a system includes inertial sensors that produce inertial measurements, a memory unit that stores a fusion model produced by at least one machine learning algorithm, and a processor that receives inertial measurements, where the processor applies the fusion model to the inertial measurements. The fusion model directs the processor to extract features from the inertial measurements, and to select inertial measurements based on a sensor in the plurality of inertial sensors that produced the inertial measurements. Also, the fusion model directs the processor to apply weights to the selected inertial measurements based on the extracted features, to apply compensation coefficients to the selected inertial measurements, and to fuse the selected inertial measurements into an inertial navigation solution.

Abstract: Containers are generated including data containers storing segments of files, segment tree containers storing upper-level segments of segment trees representing the files, and cloud containers storing headers from the data and segment tree containers. A header for a data container includes fingerprints identifying the segments of files. A header for a segment tree container includes fingerprints identifying the upper-level segments. The containers are sent to cloud storage for storage as a cloud unit. The cloud unit is attached to a deduplicated storage appliance by storing at the appliance the segment tree and cloud containers, cloud configuration details, and an index. The cloud configuration details identify the cloud storage having the cloud unit. The index maps the fingerprints to the containers. When a cloud unit is to be detached, the segment tree and cloud containers, and index from the local storage are deleted, but the cloud configuration details are maintained.

Abstract: Automatically selecting data for machine learning datasets is provided. The method comprises receiving an input dataset and user-specified data quality metrics. The input dataset is matched to a subset of candidate datasets in a repository according to schema characteristics. A second subset of candidate datasets having a distance from the input dataset above a specified threshold is selected from the first subset of candidate datasets. The second subset of candidate datasets are merged into a merged dataset. Top ranked samples above a specified second threshold are identified from the merged dataset based on the user-specified data quality metrics. The input dataset, augmented with the top ranked samples, is returned to the user.

Abstract: Systems and methods for topic modeling are described. The systems and methods include encoding words of a document using an embedding matrix to obtain word embeddings for the document. The words of the document comprise a subset of words in a vocabulary, and the embedding matrix is trained as part of a topic attention network based on a plurality of topics. The systems and methods further include encoding a topic-word distribution matrix using the embedding matrix to obtain a topic embedding matrix. The topic-word distribution matrix represents relationships between the plurality of topics and the words of the vocabulary. The systems and methods further include computing a topic context matrix based on the topic embedding matrix and the word embeddings and identifying a topic for the document based on the topic context matrix.

Abstract: A vehicle includes a prime mover and a fuel system. The fuel system includes a tank, a regulator, a first shutoff valve, and a second shutoff valve. The tank is configured to provide a supply flow of fuel. The regulator is controllable to provide a regulated flow of fuel to the prime mover by modulating the supply flow of fuel. The first shutoff valve is positioned to facilitate selectively disengaging the prime mover from the fuel system. The second shutoff valve is positioned to facilitate selectively blocking the supply flow of fuel provided by the tank.

Abstract: Techniques for anomaly and causality detection are described. An example includes receiving time series data; performing anomaly detection on the received time series data to detect at least one anomaly using an anomaly detection model; detecting a causal relationship between measures, wherein a set of measures are related when a first of the set of measures has a causal influence on a second of the set of measures, wherein a single time series is a metric and a measure is a numerical or categorical quantity a metric describes; and outputting a result of the anomaly and causality relationship detections.

Abstract: A data processing system implements receiving textual content from a first application on a first client device associated with a first user for analysis by a context adaptive writing assistant configured to provide suggestions for improving the textual content, obtaining contextual information indicative of a level of formality of the textual content; and categorizing the textual content as being associated with a first level of formality selected from a plurality of levels of formality. The system is further implements analyzing the textual content to identify one or more suggested improvements to the textual content; selecting a subset of suggested improvements from the one or more suggested improvements to the textual content to the first user based on the first level of formality associated with the textual content; sending the subset of suggested improvements to the first client device; and causing the first client device to display the subset of suggested improvements.

Abstract: A suture retention device includes a housing having one or more suture slots. The device also includes a plunger with suture slots. The plunger is slidably disposed in a channel in the housing and when the housing suture slots are aligned with the plunger suture slots, a suture filament may be disposed in the slots. When the plunger is actuated so that the housing suture slots are misaligned with the plunger suture slots, the suture filament is captured between the plunger and the housing preventing movement of the suture filament.

Abstract: Embodiments described herein relate to systems and methods for automatically generating content, generating API requests and/or request bodies, structuring user-generated content, and/or generating structured content in collaboration platforms, such as documentation systems, issue tracking systems, project management platforms, and other platforms. The systems and methods described use a network architecture that includes a prompt generation service and a set of one or more purpose-configured large language model instances (LLMs) and/or other trained classifiers or natural language processors used to provide generative responses for content collaboration platforms.

Abstract: Certain aspects of the present disclosure provide techniques for proving possession of data in a storage device participating in a distributed data storage network. An example storage device includes a storage circuitry and a trusted circuit. The storage circuitry is configured to store a plurality of data blocks. The trusted circuit generally has a private signing key securely stored thereon. The trusted circuit is generally configured to compute a hash over data stored in a plurality of data blocks and to generate an anonymous digital signature for the data stored in the plurality of data blocks based at least in part on the private signing key and the computed hash. The trusted circuit may be interposed on a write path to the storage circuitry such that data written to the storage circuitry is processed through the trusted circuit.

Abstract: There is disclosed in an example a gateway device, including a hardware computing platform, and a secure domain name system (DNS) engine having circuitry and stored instructions to-program the circuitry, the secure DNS engine to communicatively couple to an endpoint via a local network, begin a secure DNS transaction with the endpoint, determine whether the endpoint supports delegated credentials, and after determining that the endpoint supports delegated credentials, establish a secure DNS session with the endpoint using a delegated credential.

Abstract: The systems and method described provide a dynamic and automated process for producing test data for cloud migrations. Metadata for transformation designs with attribute classification and relationship data can be used to generate an enriched design-driven data set. The test data can then be used to validate infrastructure provisioned in multi-cloud environments and accommodate most cloud providers. The system can avoid tedious testing cycles that use non-relevant test data (i.e., unrelated to the specific design requirements).