Abstract: A network appliance or smart switch can include service devices as well as a switching device such as those used in high-speed switches having limited processing ability and are stateless with respect to sessions. Service devices can provide stateful and complex processing. A first exposed port of a switching device can receive network packets and can determine which network packets the service devices are to process to produce processed network packets. A network packet can be sent to a service device in a redirected packet. A processed network packet can be received from a service device in a reinjected packet that is used to recover a port identifier of the first exposed port. The port identifier can be used to determine a network destination of the processed network packet. The processed network packet can be sent from a second exposed port of the switching device toward the network destination.

Abstract: A wearable system is disclosed, which may include a housing containing a processor, a network interface, a temperature sensor, an optical sensor, and an electromagnetic frequency generator. The system may further include a band connected to the housing for securing it to a user. The processor may be configured to receive muscle temperature and blood oxygen level data from the sensors, transmit the data to a remote device via the network interface, receive a bioresonance modality instruction from the remote device, instruct the electromagnetic frequency generator to emit an electromagnetic bioresonance frequency based on the instruction, and transmit updated muscle temperature and blood oxygen level data to the remote device. The system may enable remote monitoring and control of bioresonance to encourage the user's bioresonance state.

Abstract: A system and method are provided for applying mechanical strain to a specimen of tissues and/or cells, for measuring the deformation of the specimen caused by the mechanical strain and for recording the deformation history for the specimen. The system comprises a specimen holder configured to hold a specimen and a strain-inducing apparatus coupled to the specimen holder and configured to apply a straining displacement of a preselected magnitude in at least a first preselected direction to the specimen to strain the specimen in a preselected manner. A measurement tool of the system measures the deformation of the specimen caused by the mechanical strain and a recording tool of the system records the deformation history for the specimen in memory.

Abstract: Aspects of the disclosure are directed to a quality of service (QOS) assignment policy for processor applications in a system on a chip (SoC). In accordance with one aspect, the system on a chip (SoC) includes an applications central processing unit (CPU), wherein the applications CPU comprises a quality of service (QOS) database table configured to list a plurality of QoS metrics associated with a plurality of processor threads, wherein at least one of the plurality of QoS metrics is used to determine a dynamic clock and voltage scaling (DCVS) operating point; a graphics processing unit (GPU) coupled to the applications CPU; and a common interconnection databus coupled to the applications CPU and the GPU.

Abstract: A method of making an adhesion layer of an extreme ultraviolet (EUV) stack is presented. The method includes grafting an ultraviolet (UV) sensitive polymer brush on a hardmask, the polymer brush including a UV cleavable unit, depositing EUV resist over the polymer brush, exposing the EUV resist to remove the EUV resist in exposed areas by applying a developer, and flooding the exposed area with a UV light and a solvent developer to remove exposed portions of the polymer brush.

Abstract: Aspects of the disclosure are directed to a quality of service (QOS) assignment policy for processor applications in a system on a chip (SoC). In accordance with one aspect, the system on a chip (SoC) includes an applications central processing unit (CPU), wherein the applications CPU comprises a quality of service (QOS) database table configured to list a plurality of QoS metrics associated with a plurality of processor threads, wherein at least one of the plurality of QoS metrics is used to determine a dynamic clock and voltage scaling (DCVS) operating point; a graphics processing unit (GPU) coupled to the applications CPU; and a common interconnection databus coupled to the applications CPU and the GPU.

Abstract: Described herein are systems and methods for generating an embedding—a learned representation—for an image. The embedding for the image is derived to capture visual aspects, as well as textual aspects, of the image. An encoder-decoder is trained to generate the visual representation of the image. An optical character recognition (OCR) algorithm is used to identify text/words in the image. From these words, an embedding is derived by performing an average pooling operation on pre-trained embeddings that map to the identified words. Finally, the embedding representing the visual aspects of the image is combined with the embedding representing the textual aspects of the image to generate a final embedding for the image.

Abstract: Technologies for language agnostic OCR extraction include identifying a word region of an image using optical character recognition, applying a language agnostic machine learning model to the word region, where the language agnostic machine learning model is trained on training data including a set of image-text pairs and a set of multilingual text translation pairs, receiving, from the language agnostic machine learning model, a word region embedding that is associated with the word region, searching a multilingual index for a text embedding that matches the word region embedding, receiving, from the multilingual index, text associated with the text embedding; and outputting at least one of the text or the text embedding to at least one downstream process, application, system, component, or network.

Abstract: Systems for application configuration backup and restore. Techniques establish high frequency restore points of application configuration metadata. Processing commences upon receiving instructions to periodically take snapshots of application configuration metadata. To avoid incurring unnecessary costs to process snapshots of application configuration metadata when the application configuration metadata is slow-changing, the method performs a low-cost check to get the latest update time of the application configuration metadata. That time is compared to the time of the most recent snapshot of the application configuration metadata. When the time of the latest update time of the application configuration metadata is equal to the time of the most recent snapshot of the application configuration metadata, then rather than incurring the cost of generating a duplicate snapshot, the method waits for a duration without generating a new snapshot.

Abstract: In accordance with at least some aspects of the present disclosure, an apparatus is disclosed. In some embodiments, the apparatus includes a processor and a memory. In some embodiments, the memory includes programmed instructions that, when executed by the processor, cause the apparatus to receive a snapshot of a virtual object running on a first node, determine an original configuration associated with the virtual object from the snapshot of the virtual object, determine a resource need for the virtual object from the original configuration, determine that an available resource at the recovery node is insufficient to meet the resource need of the virtual object, generate a reconfigured configuration from the original configuration based at least on the resource need, and recover the virtual object at the recovery node based on the reconfigured configuration.

Abstract: Technologies for mesh path selection are described. One method of operating a first wireless mesh device includes determining, using first client information about a first link, a first metric representing airtime usage on the link, and a second metric representing a first amount of data on a second link, the second link using the first frequency band. The method determines a third metric on a third link, the third link using a second frequency band. The method determines, using the metrics, a first throughput associated with a first path with the second link and a second throughput associated with a second path. The method determines that the third link results in better throughput and sends or receives first data on the third link.

Abstract: A method to prevent a malicious attack on CPU subsystem (CPUSS) hardware is described. The method includes auto-calibrating tunable delay elements of a dynamic variation monitor (DVM) using an auto-calibration value computed in response to each detected change of a clock frequency (Fclk)/supply voltage (Vdd) of the CPUSS hardware. The method also includes comparing the auto-calibration value with a threshold reference calibration value to determine whether the malicious attack is detected. The method further includes forcing a safe clock frequency (Fclk)/safe supply voltage (Vdd) to the CPUSS hardware when the malicious attack is detected.

Abstract: The present invention provides processes for preparation of substituted pyrazole compounds of formula II, that can be used as intermediates for preparation of substituted piperidine urea compounds useful for the treatment of dilated cardiomyopathy (DCM). R2 is independently selected from F, C1-C4 alkyl, C1-C4 haloalkyl, R3 is independently selected from H, F, C1-C4 alkyl, C1-C4 haloalkyl, R4 is C1-C4 alkyl, R6 is H or a protecting group and R7 is selected from H, CI or trialkylsilyl.

Abstract: Methods, systems, and computer program products for selection of a witness during virtualization system recovery after a disaster event. A recovery plan is configured to identify a witness that is then used to elect a leader to implement the recovery. Various system, and/or network, and/or component failures and/or various loss of function of components of the virtualization system can trigger initiation of the recovery plan. Based on the particular recovery plan that is invoked upon a determination of a network outage, or component failure or loss of function of a component of the virtualization system, a particular witness corresponding to a subset of entities of the particular recovery plan is selected. The witness is used to elect the leader, and the leader initiates actions of the recovery plan. The implementation of the recovery plan includes consideration of the health of components that would potentially be involved in the recovery actions.

Abstract: Methods, systems and computer program products for data protection across computing infrastructure comprising a plurality of geographically distant computing clusters. The geographically distant computing clusters form a distributed system comprising clusters that are assigned into availability zones. Disaster recovery policies are maintained in each of the availability zones. A first cluster detects a modification of a disaster recovery policy. The modification of the disaster recovery policy that occurred at the first cluster is to be communicated over a wide area network. Synchronization of the disaster recovery policy is accomplished by carrying out a peer-to-peer communication protocol over the wide area network.

Abstract: Embodiments of methods and apparatuses for forming the metal oxide nanostructure on surfaces are disclosed. In certain embodiments, the nanostructures can be formed on a substrate made of a nickel titanium alloy, resulting in a nanostructure that can include both titanium oxide and nickel oxide. The nanostructure can be formed on the surface(s) of an implantable medical device, such as a stent.

Abstract: Methods and system for directing traffic flows to a fast data path or a slow data path are disclosed. Parsers can produce packet header vectors (PHVs) for use in match-action units. The PHVs are also used to generate feature vectors for the traffic flows. A flow training engine produces a classification model. Feature vectors input to the classification model result in output predictions predicting if a traffic flow will be long lived or short lived. The classification models are used by network appliances to install traffic flows into fast data paths or the slow data paths based on the predictions.

Abstract: The invention provides for a method of producing a modified alumina for use in a coating composition, the method being characterised by hydrothermally treating an alumina suspension under specific conditions before and/or after adding an organic modifier. The invention further provides for a modified alumina made according to the method of the invention and to uses of the modified alumina in coating applications including anti-corrosive compositions and adhesive coatings.

Abstract: The disclosed systems emulate high-frequency application-consistent snapshots by forming restore point data sets based on remote site replay of I/O commands. A method embodiment commences upon identifying a primary computing site and a secondary computing site, then identifying an application to be restored from the secondary computing site after a disaster. Prior to the disaster, a group of computing entities of the application to be restored from the secondary computing site are identified. Input/output operations that are performed over any of the computing entities at the primary site are streamed to the secondary site where they are stored. An I/O map that associates a time with an indication of a last received I/O command that had been performed over a changing set of computing entities is sent to the secondary site. An agent at the secondary site accesses the I/O map and the streamed-over I/Os to construct recovery data.

Abstract: Reinforcement learning enables a framework of information technology assets that include software elements, computational hardware assets, and/or, bundled software and computational hardware systems and products. The performance of successive sessions of an inner loop reinforcement learning is directed and monitored by an outer loop reinforcement learning wherein the outer loop reinforcement learning is designed to reduce financial costs and computational asset requirements and/or optimize learning time in successive instantiations of inner loop reinforcement learning training sessions. The framework enables consideration of the license costs of domain specific simulators, the usage cost of hardware platforms, and the progress of a particular reinforcement learning training. The framework further enables reductions of these costs to orchestrate and train a neural network under budget constraints with respect to the available hardware and software licenses available at runtime.