Abstract: A method for data processing by a data clean room orchestration system is described. The method includes receiving an indication of mutually attested code for a data clean room between two or more partners. The method further includes configuring a trusted execution environment (TEE), including one or more virtual machines (VMs) that are individually or collectively operable to execute the mutually attested code. The method further includes transmitting, to endpoints associated with the partners, an attestation report including at least an encrypted token and a host public key of a host machine associated with the one or more VMs. The method further includes receiving respective partner secret keys wrapped with the host public key. The method further includes executing the mutually attested code on respective partner datasets in the TEE based on using a host private key of the host machine to unwrap the respective partner secret keys.

Abstract: Systems and methods for generating images using hybrid sampling include obtaining a noisy image and generating a first denoised image during a first reverse diffusion phase using a diffusion neural network. The first denoised image is generated based on a first sampler that uses a first sampling density during at least a portion of the first reverse diffusion phase. Subsequently, a second denoised image is generated based on the first denoised image during a second reverse diffusion phase using the diffusion neural network. The second denoised image is generated based on a second sampler that uses a second sampling density different from the first sampling density during at least a portion of the second reverse diffusion phase.

Abstract: A computer-implemented method, system, and computer program product for generating ideation scenarios. A requirement to be used in ideation is received. The intent associated with the received requirement is then identified. An intent refers to the actions to be performed to accomplish the purpose or objective of the requirement. Each intent is associated with a requirement as well as one or more inputs and a final output. A pre-requirement and a post-requirement to the received requirement are then identified. Upon identifying such requirements, the intents associated with such requirements are identified. Upon identifying the intents, such as for the received requirement and the pre- and post-requirements, such intents are joined to generate ideation scenarios in terms of actions. An ideation scenario refers to the idea or solution based on a requirement, where the ideation scenario includes the intents along with the associated requirements, inputs and final outputs.

Abstract: A server system using switch linking between groups of AI processing systems. The system includes at least a first central processing unit (CPU) coupled to a first group of AI processing systems via a first switch and a second CPU coupled to a second group of AI processing systems via a second switch. Each of the CPUs is also coupled to a separate group of memory devices and a communication link is configured between the first switch and the second switch to communicate information between the first group of AI processing systems and the second group of AI processing systems. Each of these AI processing system groups include a plurality of AI processing modules, and each of these modules include a plurality of chiplet devices. Each chiplet device is configured with a plurality of in-memory compute (IMC) devices for processing neural network model workloads.

Abstract: Described are aspects of a sharded monitoring system that collects metrics data from a plurality of targets within a monitored system. The monitoring system includes multiple monitoring-server instances each collecting metrics data from a respective subset of the targets, as well as a federation server that collects aggregated metrics data from the other monitoring-server instances. Mappings between monitoring targets and monitoring-server instances collecting their metrics data may be stored in a temporal routing map, e.g., on the federation server, which may build the map based on time-series routing metrics received from the other monitoring-server instances. The routing map may be used to direct queries for metrics data from a client to the appropriate monitoring-server instance.

Abstract: A machine learning model may be trained for a target battery system. Reference initialization data may be generated by a reference battery system sharing one or more characteristics with the target battery system. Synthetic training data may be generated for the target battery system by determining simulated input parameters and simulated output parameters by supplying the simulated input parameters to a physics model. Upon determining that a subset of the reference initialization data matches a subset of the synthetic training data, a trained machine learning model based on the synthetic training data is determined. The trained machine learning model may be trained to predict a state of the target battery system based at least in part on one or more observed input parameters generated by the target battery system.

Abstract: Novel ionizable lipids and lipid nanoparticles that can be used in the delivery of therapeutic cargos are disclosed.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for mitigating computing latency associated with proving of possession of network endpoints. One system includes (i) a user device, e.g., a smartphone or a personal computer, (ii) a proof of possession service running on one or more computers, and (iii) an authorization service running on one or more computers.

Abstract: Novel ionizable lipids and lipid nanoparticles that can be used in the delivery of therapeutic cargos are disclosed.

Abstract: The disclosure provides engineered polypeptides that specifically bind to human complement component C5 and/or serum albumin. The disclosure also provides fusion proteins comprising such engineered polypeptides, wherein such fusion proteins may be multivalent and multi-specific fusion proteins. The disclosure further provides nucleic acid molecules that encode such engineered polypeptides or fusion proteins, and methods of making such engineered polypeptides or fusion proteins. The disclosure further provides pharmaceutical compositions that comprise such engineered polypeptides or fusion proteins, and methods of treatment using such engineered polypeptides or fusion proteins.

Abstract: Transmission pathways in substrates, and associated methods are shown. Example transmission pathways include a semiconductor substrate with a core, a dielectric layer fixed on the core, at least one first electrical transmission pathway extending through at least one of the dielectric layer and the core. The first pathway includes a magnetic material disposed within the at least the core of the at least one first electrical transmission pathway, at least one second electrical transmission pathway extending through the magnetic material, a nickel layer disposed on inner circumferential surface of the magnetic material at least within the second electrical transmission pathway, a copper layer disposed on at least the nickel layer within the second electrical transmission pathway. The dielectric spacer or the nickel layer separates the copper layer from the magnetic material.

Abstract: An intelligent scoring system includes a scorecard tool, a user input device, a memory component, a processor; and machine-readable instructions. The scorecard tool includes a scorecard and a neural network model. The machine-readable instructions stored in the memory component cause the intelligent scoring system to: receive a parameter rating for the scorecard for a first portion of a plurality of business performance parameters; automatically input the parameter rating for the scorecard for a second portion of the plurality of business performance parameters; associate a weighting with each parameter rating; estimate a parameter outcome score for each of the first portion and the second portion of the plurality of business performance parameters based on each parameter rating and weighting; automatically estimate an overall outcome score; and automatically generate a recommendation for improving the level of performance of the business unit.

Abstract: Embodiments disclosed herein include coreless interposers with embedded inductors. In an embodiment, a coreless interposer comprises a plurality of buildup layers, where electrical routing is provided in the plurality of buildup layers. In an embodiment, the coreless interposer further comprises an inductor embedded in the plurality of buildup layers. In an embodiment, the inductor comprises a magnetic shell, and a conductive lining over an interior surface of the magnetic shell.

Abstract: One embodiment provides a method including capturing, by a computing device, first information and deliverable information. Traceability is set up across the first information and deliverable information to identify gaps in the first information and the deliverable information. The first information and the deliverable information are analyzed and mapped to layers based on consumers of information. Objectivity in the first information and the deliverable information in each of the layers is determined. The deliverable information that is created during an entire development lifecycle is broken down to mapping the deliverable information to interrogative keywords for the layers. The first information is consumed upon the consumers of information having a discourse with a computing system.

Abstract: An apparatus comprising: a storage configured to store data items; and address digest generating circuitry responsive to a request to store a received data item to a location of the storage associated with a store target address, to generate an address digest based on a plurality of bits of the store target address, the address digest having fewer bits than the plurality of bits. The storage is configured to store the address digest in association with the received data item.

Abstract: Described herein are systems and methods for traffic classification that integrate a plurality of complementary tiered classifiers to improve or enhance the results of a primary classification technique. Results from the individual tiered traffic classifiers can be analyzed to determine an output classification. The resulting output traffic classification can be used to determine a preferred or desirable link between nodes on a network where the network includes parallel links or network paths between the nodes. The disclosed systems and methods may be particularly advantageous where the different network paths have different characteristics such as latency, capacity, congestion, cost, bandwidth, etc.

Abstract: An apparatus comprises a storage configured to store data items associated with error correction codes (ECCs); data retrieval circuitry responsive to a data retrieval request specifying a retrieval address to retrieve a retrieved data item and an associated ECC from a storage location corresponding to the retrieval address; and ECC decoding circuitry to generate a syndrome value by performing an ECC decoding operation on a decoding input value comprising data bits of the retrieved data item, code bits of the associated ECC, and address bits of the retrieval address, and to determine based on the syndrome value whether an error condition has occurred. Each bit of the syndrome value depends on a different combination of bits of the decoding input value. For each data bit of the decoding input value, an odd number of bits of the syndrome value depend on that data bit. For each address bit of the decoding input value, an even number of bits of the syndrome value depend on that address bit.

Abstract: A cooling apparatus for an engine comprising: a) a coolant reservoir comprising a coolant line outlet port; b) a tank for holding an aqueous urea solution for injection into an exhaust system of the engine; c) a coolant line for transferring a coolant fluid discharged from the coolant reservoir via the coolant line outlet port to the tank to enable, in use, heat exchange between the coolant fluid and the aqueous urea solution contained in the tank; d) a coolant control valve located on the coolant line for controlling flow of coolant fluid along the coolant line to the tank; and e) a filter for filtering the coolant fluid being discharged via the coolant line outlet port; wherein the filter comprises a filtering portion that is located within an interior of the coolant reservoir so that the coolant fluid is filtered within the coolant reservoir before the coolant fluid enters the coolant line.

Abstract: The present disclosure describes an apparatus to isolate vibration for electrophoretic mobility measurement. In an exemplary embodiment, the apparatus includes (1) at least four chassis pins coupled to a chassis of an electrophoretic mobility measurement instrument, (2) at least four fan pins coupled to a fan to cool the chassis, (3) at least four tension springs secured to the chassis via the chassis pins and to the fan via the fan pins, and (4) at least four compression springs positioned between a surface of the chassis and a surface of the fan, such that the tension springs are able to pull the fan against the compression springs.

Abstract: A method of detecting blur in an input image, the method including: detecting one or more candidate blur regions of a plurality of regions in the input image; determining, a first confidence score of the one or more candidate blur regions in the input image; determining a second confidence score of a global blur in the input image; determining a third confidence score of an intentional blur in the input image; and detecting a type of blur and a strength of the type of blur in the input image based on the first confidence score of the one or more candidate blur regions, the second confidence score of the global blur, and the third confidence score of the intentional blur.