Abstract: Techniques are described in which a centralized controller constructs a service chain between a bare metal server (BMS) and a virtual execution element (e.g., virtual machine or container), or in some instances a remote BMS, across a plurality of networks. In some examples, the controller may construct a service chain between a BMS and a virtual execution element or remote BMS using Ethernet Virtual Private Network (EVPN)-Virtual Extensible Local Area Network (VXLAN) and Internet Protocol Virtual Private Networks (IP VPNs) such as BGP/Multiprotocol Label Switching (BGP/MPLS) IP VPNs.

Abstract: Embodiments described herein provide improved methods and systems for generating metadata for media objects at a computational engine (such as an artificial intelligence engine) within the storage edge controller, and for storing and using such metadata, in data processing systems.

Abstract: A post-processing method, system, and computer program product for post-hoc improvement of instance-level and group-level prediction metrics, including training a bias detector that learns to detect a sample that has an individual bias greater than a predetermined individual bias threshold value with constraints on a group bias, applying the bias detector on a run-time sample to select a biased sample in the run-time sample having a bias greater than the predetermined individual bias threshold bias value, and suggesting a de-biased prediction for the biased sample.

Abstract: Machine-learned prediction of a blame frame of a crash stack. Specifically, a crash stack associated with a crash is parsed into a sequence of frames. The blame frame of the crash stack is estimated by, for each of a plurality of the sequence of frames, identifying a plurality of features of the corresponding frame, feeding the plurality of features to a neural network, and using the output of the neural network to make a prediction on whether the corresponding frame is a blame frame of the crash. If this is done during training time, the predicted blame frame can be compared against the actual blame frame, resulting in an adjustment of the neural network. Through appropriate featurization of the frames, and by use of the neural network, the prediction can be made cross-application and considering the context of the frame within the crash stack.

Abstract: Presented are intelligent fuel cell systems (FCS) with logic for evacuating water from anode headers of a fuel cell stack, methods for making/using such systems, and vehicles equipped with such systems. A method of operating an FCS includes a system controller confirming the FCS is running and, once confirmed, receiving a bleed request to remove exhaust gas from exhaust output by the anode. Responsive to the bleed request, the controller determines a total bleed valve use (TBVU) indicating prior bleed requests completed by an anode bleed valve, and thereafter determines if the TBVU is less than a maximum bleed valve use (MBVU). If so, the controller responsively commands the bleed valve to bleed the exhaust gas from the anode exhaust. If TBVU is not less than MBVU, the controller commands a header drain valve to bleed the exhaust gas from the anode exhaust and drain water from the anode header.

Abstract: A method includes obtaining, by a computing system executing a declarative code player, a processing widget defining multiple states and executing, by the computing system executing the declarative code player, the processing widget. Executing the processing widget comprises, for each current state of at least a subset of the states obtaining multiple state lifecycle declaration for the current state from a repository, the state lifecycle declaration is specified as declarative content, executing multiple library instructions according to the state lifecycle declaration to perform at least one operation of the current state, and transitioning, as defined by the current state, to a next state as defined in the processing widget.

Abstract: Systems and methods are provided for generating new insights for multi-dimensional data. A plurality of insight definitions that define insights within multi-dimensional data can be received, where the multi-dimensional data include dimensions organized in a hierarchical structure, and the insight definitions include members across the hierarchical dimensions that define a slice of the multi-dimensional data. Descriptive data about a candidate insight defined by at least one of the insight definitions that corresponds to a candidate slice of the multi-dimensional data can be received. A new insight definition based on the candidate insight can be generated, where the new insight definition corresponds to a new slice of the multi-dimensional data, and the new slice of the multi-dimensional data is proximate to the candidate slice of the multi-dimensional data with respect to the hierarchical structure.

Abstract: A method includes determining an information dispersal algorithm width number and determining a number of primary storage slots from a number of storage slots associated with a set of storage units deployed across multiple sites, where the number of primary storage slots is equal to or greater than the information dispersal algorithm width number. The method further includes determining a mapping of primary storage slots to storage units. The method further includes sending configuration information to the set of storage units that includes the mapping. The method further includes storing a set of encoded data slices in the primary storage slots in accordance with the configuration information, where a data segment is error encoded into the set of encoded data slices in accordance with the information dispersal algorithm width number and a decode threshold number, which is a number of encoded data slices are needed to reconstruct the data segment.

Abstract: Systems, methods, and computer program products are provided for facilitating high frequency processing using stored models. A method for facilitating high frequency processing using stored models is provided. The method includes receiving a set of code relating to a machine learning model configured to process data. The method also includes generating a model executable file from the set of code relating to the machine learning model. The model executable file is configured to process inputted data using the machine learning model upon execution. The method still further includes storing the model executable file on an in-memory of a local device used to process inputted data.

Abstract: Methods and systems for additive manufacturing are disclosed, the methods and systems comprising reducing the amount of support material used, by one or more methods, including inclusion of part material voxels and air voxels within the support regions, using a lattice of part material within support regions, printing one or more skin layers and boundary layers to support the part geometry and surface, and printing support layers in a drafted manner to reduce support material.

Abstract: A method is provided, comprising: obtaining training data including historical transcripts from historical user interactions, and indications of workflow statuses associated with each of the historical transcripts; training a machine learning model to classify transcripts from user interactions based on workflow status using the training data; applying the trained machine learning model to a new transcript from a new user interaction in order to identify a workflow status associated with the new transcript; generating a message to a user associated with the new user interaction based on the identified workflow status; analyzing the new transcript using a natural language processing algorithm to identify one or more triggers associated with the new transcript; modifying one or more parameters associated with the generated message to the user based on the one or more triggers associated with the new transcript; and transmitting the message to a device associated with the user.

Abstract: Example power factor correction circuits to correct the power factor of power converters are disclosed. An example power factor correction controller circuit includes a phase locked loop phase angle determiner to determine a first phase angle of an input voltage of the power converter and further includes a compensating current determiner to determine, based on the phase angle, a compensating current to compensate for a capacitive current introduced by at least one filter capacitor of the power converter. The power factor correction controller circuit further includes a switch controller to cause a controlled current drawn by a power stage of the power converter to be adjusted by the compensating current to reduce a phase offset between the first phase angle of the input voltage and a second phase angle of the input current drawn at an input of the power converter.

Abstract: Disclosed herein are pharmaceutical compositions in the form of a suspension for oral delivery. Some embodiments provide a pharmaceutical composition in the form of a suspension for oral delivery comprising an anti-cancer active pharmaceutical ingredient; water; a suspending agent; a buffering agent; and one or more of a wetting agent and a binder/filler. In some embodiments, the anti-cancer active pharmaceutical ingredient is selected from ibrutinib, nilotinib, dasatinib, sunitinib, sorafenib, erlotinib, and capecitabine.

Abstract: Embodiments for identifying an optimal cloud computing environment for a computing task is disclosed. Embodiments comprises receiving a computing task to be executed in a cloud computing environment, wherein the computing task requires a set of cloud computing environment parameter values of the cloud computing environment, pre-selecting a set of candidate cloud computing environments, each of which meets the set of cloud computing environment parameter values, ranking the candidate cloud computing environments using reward-based ranking parameter values of the candidate cloud computing environments as an additional selection constraint, and selecting the highest ranking cloud computing environment as the optimal cloud computing environment for the computing task.

Abstract: According to one or more embodiments described herein, a method for dehydrogenating hydrocarbons may include passing a hydrocarbon feed comprising one or more alkanes or alkyl aromatics into a fluidized bed reactor, contacting the hydrocarbon feed with a dehydrogenation catalyst in the fluidized bed reactor to produce a dehydrogenated product and hydrogen, and contacting the hydrogen with an oxygen-rich oxygen carrier material in the fluidized bed reactor to combust the hydrogen and form an oxygen-diminished oxygen carrier material. In additional embodiments, a dual-purpose material may be utilized which has dehydrogenation catalyst and oxygen carrying functionality.

Abstract: An electronic device includes a substrate, and a stack of dies stacked on the substrate. The stack includes (i) multiple dies stacked on one another, the multiple dies include electronic components and interconnections, and (ii) one or more heat pipes (HPs), which are traversing at least a subset of the dies at a right angle relative to the substrate, at least one of the HPs being configured to dissipate heat generated by operation of the electronic components away from at least the subset of the dies.

Abstract: Optical pressure sensor assemblies that can be used with existing catheters and imaging systems. Pressure sensors may be compatible with atherectomy and occlusion-crossing catheters, where intravascular pressure measurements at various vessel locations are needed to determine treatment efficacy. The pressure sensors may employ an optical pressure measurement mechanism using optical interferometry, and may be integrated with existing imaging modalities such as OCT. The pressure sensor assemblies may include a movable membrane that deflects in response to intravascular pressure; an optical fiber that transmits light to the movable membrane and receives light reflected or scattered back from the movable membrane into the fiber; and a processor or controller configured to determine the distance traveled by the light received in the fiber from the movable membrane, where the distance traveled is proportional to the intravascular pressure exerted against the membrane.

Abstract: Systems and methods are disclosed for directed image capture of a subject of interest, such as a home. Directed image capture can produce higher quality images such as more centrally located within a display and/or viewfinder of an image capture device, higher quality images have greater value for subsequent uses of captured images such as for information extraction or model reconstruction. Graphical guide(s) facilitate content placement for certain positions and quality assessments for the content of interest can be calculated such as for pixel distance of the content of interest to a centroid of the display or viewfinder, or the effect of obscuring objects. Quality assessments can further include instructions for improving the quality of the image capture for the content of interest.

Abstract: In some examples, a system may include a memory resource storing instructions, and one or more processors. In various examples the one or more processors may be configured to execute the instructions to receive data indicating that an order has been dropped by a driver of a first computing system. The order may include a set of order parameters that may include a first order parameter and a second order parameter. Additionally, the one or more processors may be configured to execute the instructions to determine a remaining delivery time period based at least a time when the order was dropped and the first order parameter. Moreover, the one or more processors may be configured to execute the instructions to obtain profile data of a set of drivers that includes availability data indicating the corresponding driver is available for assignment.

Abstract: A chassis assembly having mixed material for reduced mass is provided. The assembly comprises an upper structure comprised of metal. The upper structure has a plurality of first bond surfaces, each of which is parallel with each other at varying elevations relative to a z-axis of a 3-dimensional coordinate thereof. The assembly further comprises a lower structure made of a polymer composite. The lower structure has a plurality of second bond surfaces, each of which is parallel with each other at varying elevations relative to the z-axis thereof. The second bond surfaces are arranged to align with the first bond surfaces in complementing relation such that the lower structure is joined with the upper structure at the first and second bond surfaces. The assembly further comprises an adhesive disposed between the first and second bond surfaces to join the lower and upper structures at the first and second bond surfaces, defining a bond gap between the first and second bond surfaces.