Abstract: A method comprises determining a first and second portion of a quantum circuit specification based at least in part on two or more estimated gate simulation times associated with simulating two or more quantum gate operations; generating a first set of output quantum states (OQSs) by simulating the first portion using a classical processor; determining a first set of measurement results associated with the first set of OQSs; generating a second set of OQSs by simulating or executing the second portion; determining a second set of measurement results associated with the second set of OQSs; and determining a result based at least in part on the first set of measurement results and the second set of measurement results; where the first set of OQSs and the second set of OQSs do not depend on each other.

Abstract: A substrate support assembly includes a heater plate including a dielectric material, a heater electrode embedded within the heater plate, a set of distributed purge channels formed within the heater plate, wherein the set of distributed purge channels provides a set of gas flow paths to equalize a gas flow from within the heater plate and direct the gas flow in a direction below the heater plate, a ground electrode embedded within the heater plate, and a radio frequency (RF) mesh embedded within the plate.

Abstract: Systems and methods are provided for natural language processing using neural network models and natural language virtual assistants. The system and method include receiving a natural language phrase including a word sequence, computing corresponding error probabilities that the words are errors, and for a word with a corresponding error probability above a threshold, then computing a replacement phrase with a low error probability to provide a response from the virtual assistant depending on the replacement phrase.

Abstract: Embodiments described herein generally related to a substrate processing apparatus. In one embodiment, a process kit for a substrate processing chamber disclosed herein. The process kit includes a ring having a first ring component and a second ring component, a sliding ring, and an actuating mechanism. The first ring component is interfaced with the second ring component such that the second ring component is movable relative to the first ring component forming a gap therebetween. The sliding ring is positioned beneath the ring and contacts a bottom surface of the second ring component. A top surface of the sliding ring contacts the second ring component. The actuating mechanism is interfaced with the bottom surface of the sliding ring. The actuating mechanism is configured to actuate the sliding ring such that the gap between the first ring component and the second ring component varies.

Abstract: In general, techniques are described for performing network segmentation for container orchestration platforms. A network controller comprising a memory and processing circuitry may be configured to perform the techniques. The memory may be configured to store a request, conforming to a container orchestration platform, to configure a new pod of a plurality of pods with a primary interface to communicate on a virtual network to segment a network formed by the plurality of pods. The processing circuitry may be configured to configure, responsive to the request, the new pod with the primary interface to enable communications via the virtual network.

Abstract: A system and method for splitting a machine learning (ML) graph is disclosed. The system includes a compiler configured to receive an ML model. The compiler generates a graph associated with the ML model, wherein the graph is an internal representation of the ML model. The graph is partitioned into a first subgraph and a second subgraph. The first subgraph is associated with an ML hardware, an ML emulator, or a combination thereof, and the second subgraph is associated with a processor different from the ML hardware. A set of low-level instructions associated with the first subgraph is generated. One or more resources in the ML hardware is identified to execute the set of low-level instructions associated with the first subgraph.

Abstract: Systems, methods, and computer readable media may facilitate buy-now-pay-later (BNPL) transactions at brick-and-mortar locations of merchants that otherwise lack an ability to interface with financial institutions (FIs) that finance BNPL transactions. Likewise, the system may be used to conduct BNPL transactions for merchants that lack an electronic commerce presence. For example, a payment network used to process payment cards such as credit cards may be leveraged to communicate with user devices, merchant point of sale (POS) terminals, and BNPL servers operated by FIs to mediate BNPL transactions. In particular, the payment network may receive, from merchants, a list of items that are eligible for BNPL transactions and installment offers from FIs to pay for BNPL transactions. The payment network may match eligible items with installment offers, select the best installment offers for the buyer, and mediate exchanges between the parties to settle payments for the BNPL transaction.

Abstract: There is no mechanism for vehicle utilization and optimization through continuous and incremental planning which ensures that transportation plans are based on real-time conditions. The present invention discloses systems and methods for vehicle utilization and optimization based on self-learning mechanism. A machine learning model for dynamic association of users to vehicles is provided that learns previously clubbed patterns of users with their corresponding locations. The learnt previously clubbed patterns are utilized for determining association between previously clubbed locations which is further utilized to obtain an optimal set of locations. The users are dynamically associated to vehicles allocated for the obtained optimal set of locations by honoring one or more social and vehicle constraints. The proposed system has self-learning capability which ensures effective vehicle utilization and optimization in real time.

Abstract: A content management system for collecting files from one or more submitters in a collection folder. A collector, who generates the collection folder, can invite one or more submitters to submit one or more files to the collection folder in response to a public file request. The one or more submitters have limited rights to the collection folder. The limited rights can include uploading rights and prohibiting a submitter from viewing files that other submitters associated with the collection folder submitted. Thus, the collection folder is able to store files from the one or more submitters, but prevent them from viewing other's submissions.

Abstract: The disclosed subject matter relates to a method for determining a starting sequence for a fuel cell arrangement including a plurality of fuel cell systems. The starting sequence includes the following information for each fuel cell system in the fuel cell arrangement: whether or not the fuel cell system should be started and, if the fuel cell system should be started, the starting time for the fuel cell system, said starting sequence being determined using the following as input: a power and/or energy need required from the fuel cell arrangement over an upcoming time range; a shutdown duration time of each fuel cell system, indicative of the time elapsed since the fuel cell system was lastly shutdown, and a predetermined degradation characteristic of each fuel cell system as a function of shutdown duration time.

Abstract: An example transformer cell includes a printed circuit board (PCB) having a plurality of layers and at least two transformers. The at least two transformers include a primary winding implemented in a plurality of primary layers among the plurality of layers, a plurality of secondary windings implemented in a plurality of secondary layers among the plurality of layers, and a core extending through the primary winding and the plurality of secondary windings. The transformer cell further includes a first output capacitor located above a top layer among the plurality of layers and along a first edge of the PCB, a second output capacitor located above the top layer along a second edge of the PCB, the second edge being opposite the first edge. The transformer cell additionally includes one or more switching devices located between the first and the second output capacitors.

Abstract: Provided are compositions comprising recombinant DNA polymerases that include amino acid substitutions, insertions, deletions, and/or exogenous features that confer modified properties upon the polymerase for enhanced single molecule sequencing. Such properties include increased resistance to photodamage, and can also include enhanced metal ion coordination, reduced exonuclease activity, reduced reaction rates at one or more steps of the polymerase kinetic cycle, decreased branching fraction, altered cofactor selectivity, increased yield, increased thermostability, increased accuracy, increased speed, increased readlength, and the like. Also provided are nucleic acids which encode the polymerases with the aforementioned phenotypes, as well as methods of using such polymerases to make a DNA or to sequence a DNA template.

Abstract: Systems and methods for image processing are described. Embodiments of the present disclosure receive a first image depicting a scene and a second image that includes a style; segment the first image to obtain a first segment and a second segment, wherein the first segment has a shape of an object in the scene; apply a style transfer network to the first segment and the second image to obtain a first image part, wherein the first image part has the shape of the object and the style from the second image; combine the first image part with a second image part corresponding to the second segment to obtain a combined image; and apply a lenticular effect to the combined image to obtain an output image.

Abstract: A method of forming a procedure plan includes arranging a tracking arm distal end in communication with a reference location (RL) about a site or an object received thereat (S/O), the RL disposed in relation to the tracking arm in a 3D space. Physical points about the S/O are each contacted with an end effector of a procedure tool engaged with a robot arm disposed in known relation to the tracking arm, and locations thereof concurrently determined in the 3D space. A reference frame (RF) is formed in the 3D space, relative to the RL, from the locations of the physical points, and includes a location of the S/O within the RF. A plan is formed for an end effector procedure on the S/O, within the RF and relative to the RL, including a route traversed by the end effector to and from the S/O and during the procedure.

Abstract: An aspect of the present disclosure facilitates characterizing operation of software applications having large number of components. In one embodiment, a digital processing system receives a first data indicating invocation types and corresponding invocation counts at an entry component for multiple block durations, where the entry component causes execution of internal component of the software application. The system also receives a second data indicating values for a processing metric at the internal components for the same block durations. The system then constructs for each internal component, a corresponding component model correlating the values for the processing metrics at the internal component indicated in the second data to the invocation types and invocation counts of the entry component indicated in the first data. The component models can aid in the performance management of the software application.

Abstract: A Wi-Fi wake-up receiver that receives wake-up signals encoded using orthogonal frequency division multiplexing based on-off keying (OFDM-OOK) modulation includes receiver circuitry having analog envelope detector circuitry configured to non-linearly down-convert an input signal and provide an energy signal for sampling by an analog-to-digital converter (ADC). A wake-up signal for waking up a main radio in a Wi-Fi device can be based on the digitized energy signal. The receiver circuitry can further include, upstream of the envelope detector circuitry and the ADC in the signal chain, an analog mixer for linearly down-converting the input signal and a low-pass filter for attenuating adjacent-channel interferer (ACI) signals prior to the non-linear down-conversion by the envelope detector circuitry. Sampling of the energy signal rather than the higher-bandwidth input signal yield power savings in the ADC and associated circuitry such as a modem.

Abstract: Systems and methods for generating tile-able patterns from text include obtaining a text prompt and generating, by a generation prior model, a latent vector based on the text prompt, where the generation prior model is trained to output vectors within a distribution of tile-able patterns. An image generation model then generates an output image based on the latent vector. The output image comprises a tile-able pattern including an element from the text prompt.

Abstract: Present invention relates to combination of Apremilast or pharmaceutically acceptable salts thereof and Rifaximin or its polymorphs or isomers or pharmaceutically acceptable salts. Present invention provides the pharmaceutical composition of Apremilast or pharmaceutically acceptable salts thereof and Rifaximin or its polymorphs or isomers or pharmaceutically acceptable salts. Present invention also provides use of the said combination or pharmaceutical composition for the treatment of inflammatory bowel disease.

Abstract: Structures and methods are disclosed for fabricating optoelectronic solid state array devices. In one case a backplane and array of micro devices is aligned and connected through bumps.

Abstract: Multi-modal representation learning for electronic data interchange (EDI) and text includes encoding a text sample with a text encoder. The encoding creates an embedded text sample in a conjoined embedding space. An EDI sample is encoded with a multi-model EDI encoder. Encoding the EDI sample creates an embedded EDI sample in the conjoined embedding space. The multi-model EDI encoder includes a plurality of expert networks. The multi-modal EDI encoder is trained using machine learning to determine a similarity score between a target text and an EDI segment. The machine learning includes comparing labeled training samples and corresponding predictions generated by the multi-model EDI encoder. Once trained, the multi-model EDI encoder is configured to query a data repository of EDI documents for one or more selected EDI documents that match a natural language text input.