Abstract: The present invention relates to a polyethylene composition comprising a base resin which comprises (A) a first ethylene homo- or copolymer fraction, and (B) a second ethylene copolymer fraction, wherein fraction (A) has a lower molecular weight than fraction (B), fraction (A) is present in an amount of 45.0 to 55.0 wt. %, preferably 46.0 to 53.0 wt. %, more preferably 46.5 to 52.0 wt. %, based on the total weight of the base resin, fraction (B) is present in an amount of 55.0 to 45.0 wt. %, preferably 54.0 to 47.0 wt. %, more preferably 53.5 to 48.0 wt. %, based on the total weight of the base resin, the base resin has a density of 945 kg/m3 to 958 kg/m3, more preferably of 947 to 956 kg/m3, and most preferably of 948 kg/m3 to 954 kg/m3, the polyethylene composition has a melt flow rate MFR5 of 0.15 to 0.30 g/10 min, preferably of 0.20 to 0.29 g/10 min, and still more preferably of 0.22 to 0.

Abstract: In some aspects of the disclosure, an apparatus includes a processing system that includes one or more processors and one or more memories coupled to the one or more processors. The processing system is configured to receive sensor data associated with a scene and to generate a cylindrical representation associated with the scene. The processing system is further configured to modify the cylindrical representation based on detecting a feature of the cylindrical representation being included in a first region of the cylindrical representation. Modifying the cylindrical representation includes relocating the feature from the first region to a second region that is different than the first region. The processing system is further configured to perform, based on the modified cylindrical representation, one or more three-dimensional (3D) perception operations associated with the scene.

Abstract: Systems, apparatus, articles of manufacture, and methods are disclosed for aliasing scopes in access tokens. An example apparatus includes interface circuitry, machine readable instructions, and programmable circuitry to at least one of instantiate or execute the machine readable instructions to detect a request to create an identity to access an online resource, the message including at least one scope assignment associated with a user of the computing device, determine that an alias has not been created for the at least one scope assignment, the alias to represent two more scopes assigned to the user, and generate the alias for the scope assignment, the alias having less characters than the scope assignment.

Abstract: Systems and methods for dynamic throttling of input/output queues in data storage device arrays are described. Data storage devices are connected through the slots and corresponding lanes of a storage interface switch. A storage controller uses a delay inserted between host submission queues and backend submission queues to manage the priority of host storage commands using slot groups.

Abstract: Aspects presented herein may improve the accuracy and reliability of object detections performed by multiple object detection models. In one aspect, a UE detects (1) a set of polylines from at least one of a set of bird's eye view (BEV) features or a set of perspective view (PV) features associated with a set of images and (2) a set of three-dimensional (3D) objects in the set of BEV features. The UE associates the set of polylines with the set of 3D objects. The UE updates the set of polylines based on a set of nearby 3D objects or updates the set of 3D objects based on a set of nearby polylines. The UE outputs an indication of the updated set of polylines or the updated set of 3D objects.

Abstract: A set of incident records are received for a computing system. The incident records are analyzed to identify similar incident records which are then linked. Incident clusters are generated based upon the links and incident records in each cluster are ranked. A prompt is generated to an artificial intelligence (AI) model based on the ranked, related incidents and the AI model returns a response that identifies a root cause and mitigation steps corresponding to the ranked incidents.

Abstract: Described herein are methods and a system for placing a network and devices in life support when it is determined that a network event necessitates such. Interconnected devices on the network are monitored, devices providing status such as temperature. Based on status, a life support event is determined. If it is determined that life support is needed, devices and services are prioritized. Monitoring is performed as to changes in the network and devices. The network and devices are returned to normal operation if the monitoring determines a normal status.

Abstract: Methods, systems, and computer program products for factchecking artificial intelligence models using blockchain are provided herein. A computer-implemented method includes obtaining at least one artificial intelligence model and at least one set of data related to the at least one artificial intelligence model; determining a set of characteristics based at least in part on the at least one artificial intelligence model and the at least one set of data; selecting one of a plurality of networks based at least in part on a target deployment of the at least one artificial intelligence model to verify the set of characteristics; generating a report based at least in part on verifying the set of characteristics using the selected network, wherein the report establishes a threshold level of trust for the at least one artificial intelligence model; and storing the report on a blockchain.

Abstract: Systems and methods are described herein for generating a playlist for a simultaneous presentation of a plurality of media assets. The system retrieves a user preference associated with a user profile and receives a selection of a first media asset and a second media asset from the plurality of media assets for presentation on a user device. The system parses the respective audio streams of the first media asset and the second media asset to identify one or more preferred audio segments based on the user preference and generates the playlist of the identified one or more preferred audio segments. Based on a generated audio playlist, the system generates, for presentation on the user device, the video stream for each of the first media asset and the second media asset and the playlist of the identified one or more preferred audio segments.

Abstract: A user interacts with a Voice User Interface (VUI) software application such as a digital assistant on a first user device such as a smart phone to access information about different products by communicating with a VUI server over a first communications channel. The VUI server relays indications of the products to an assistance server, for example a server in a wireless telecommunications network of a telecommunications service provider for the user device, and the assistance server provides additional information regarding the different products including images to the first user device and/or one or more additional user devices such as a smart television connected to the wireless telecommunications network user device via at least a second communications channel that is distinct from the first communications channel.

Abstract: An apparatus comprises at least one processing device configured to determine whether an information technology asset in an information technology infrastructure environment is equipped with a cellular modem and, responsive to determining that the information technology asset is equipped with the cellular modem, to determine whether a cellular operational profile for a cellular-based management network associated with the information technology infrastructure environment is provisioned for the cellular modem. The processing device is also configured, responsive to determining that the cellular operational profile is provisioned, to establish a connection with the cellular-based management network.

Abstract: Embodiments disclosed herein include a method for field adjusting calibrating factors of a plurality of RF impedance matches for control of a plurality of plasma chambers. In an embodiment, the method comprises collecting and storing in a memory data from operation of the plurality of RF impedance matches, and finding a tune space for each of the plurality of RF impedance matches from the collected data. In an embodiment, the method further comprises finding adjustments to account for variability in each of the plurality of RF impedance matches, finding adjustments to variable tuning elements of the plurality of RF impedance matches to account for time varying and process related load impedances, and the method further comprises obtaining operating windows for the variable tuning elements in the plurality of RF impedance matches.

Abstract: This disclosure provides systems, methods, and devices for vehicle driving assistance systems that support image processing. In a first aspect, a method includes receiving a first image frame from the first camera and a second image frame from the second camera. The method may also include determining a first set of optical flows between the first image frame and the second image frame and determining a second set of optical flows based on the first set of optical flows and positions of the first camera and the second camera on the vehicle. Position data may be determined for objects in an area surrounding the vehicle based on the second set of optical flows. Other aspects and features are also claimed and described.

Abstract: According to aspects described herein, a device can extract first features from frames of first sensor data and second features from frames of second sensor data (captured after the first sensor data). The device can obtain first weighted features based on the first features and second weighted features based on the second features. The device can aggregate the first weighted features to determine a first feature vector and the second weighted features to determine a second feature vector. The device can obtain a first transformed feature vector (based on transforming the first feature vector into a coordinate space) and a second transformed feature vector (based on transforming the second feature vector into the coordinate space). The device can aggregate first transformed weighted features (based on the first transformed feature vector) and second transformed weighted features (based on the second transformed feature vector) to determine a fused feature vector.

Abstract: Systems and techniques are described herein for processing data. For instance, a method for processing data is provided. The method may include obtaining source features generated based on first sensor data captured using a first set of sensors; obtaining source semantic attributes related to the source features; obtaining target features generated based on second sensor data captured using a second set of sensors; obtaining map information; obtaining location information of a device comprising the second set of sensors; obtaining target semantic attributes from the map information based on the location information; aligning the target features with a set of the source features, based on the source semantic attributes and the target semantic attributes, to generate aligned target features; and processing the aligned target features to generate an output.

Abstract: An example device for training a neural network includes a memory configured to store a neural network model for the neural network; and a processing system comprising one or more processors implemented in circuitry, the processing system being configured to: extract image features from an image of an area, the image features representing objects in the area; extract point cloud features from a point cloud representation of the area, the point cloud features representing the objects in the area; add Gaussian noise to a ground truth depth map for the area to generate a noisy ground truth depth map, the ground truth depth map representing accurate positions of the objects in the area; and train the neural network using the image features, the point cloud features, and the noisy ground truth depth map to generate a depth map.

Abstract: A power module having a semiconductor package in which all the interconnections are formed by direct copper (Cu). In this way, the power module is suitable for high power efficiency. In addition, the direct copper (Cu) interconnection also enhances heat dissipation of the semiconductor package and thus makes the power module more reliable for operation, particularly under a high temperature. power module further includes a substrate (either a direct bonded copper (DBC) substrate or a ceramic substrate) on which the semiconductor package is mounted on; a plurality of external connecting structures coupled to the substrate for electrically leading out the power module; and at least one signal lead mounted on the substrate.

Abstract: A device for processing sensor data is configured to receive the first frames from a first sensor; receive the second frames from a second sensor; perform a first feature extraction on the first frames using a first dynamic neural network to determine first features; perform a second feature extraction on the second frames using a second dynamic neural network to determine second features; determine a first delay associated with the first features; determine a second delay associated with the second features; modify a topology of the second dynamic neural network based on the first delay and the second delay; and use the second dynamic neural network with the modified topology to generate an output.

Abstract: An apparatus includes a memory and processing circuitry in communication with the memory. The processing circuitry is configured to process a joint graph representation using a graph neural network (GNN) to form an enhanced graph representation. The joint graph representation includes first features from a voxelized point cloud, and second features from a plurality of camera images. The enhanced graph representation includes enhanced first features and enhanced second features. The processing circuitry is further configured to perform a diffusion processes on the enhanced first features and the enhanced second features of the enhanced graph representation to form a denoised graph representation having denoised first features and denoised second features, and fuse the denoised first features and the denoised second features of the denoised graph representation using a graph attention network (GAT) to form a fused point cloud having fused features.

Abstract: Systems that support graph neural network (GNN) implemented multi-modal spatiotemporal fusion are provided. Identifying and tracking an object in images captured by an imaging system is facilitated by generating a graph based on multimodal data received from a plurality of sensors. The graph encodes spatial components and spatial data associated with the images and encodes temporal data associated with the images. Pooled features are generated, through application of a first graph attention network (GAT), by pooling spatial features and temporal features. The spatial features are based on the spatial component and on the spatial relationship, and the temporal features are based on the temporal relationship. A three dimensional bounding box associated with the object is decoded by propagating the pooled features through a fully connected layer.