Abstract: One embodiment provides a method comprising determining multi-dimensional metadata corresponding to an input image, and determining ambient light information indicative of a level of ambient light in an ambient environment of a display device. The multi-dimensional metadata comprises a cumulative distribution function (CDF) of pixels in the input image. The method further comprises determining, based on the multi-dimensional metadata and the ambient light information, one or more gains that adaptively compensate for the level of ambient light in the ambient environment. The method further comprises generating a tone mapping function based on the one or more gains, and applying the tone mapping function to the input image to generate a tone-mapped image that adaptively compensates for the level of ambient light in the ambient environment. The tone-mapped image is provided to the display device for presentation.

Abstract: This disclosure describes one or more implementations of a text sequence labeling system that accurately and efficiently utilize a joint-learning self-distillation approach to improve text sequence labeling machine-learning models. For example, in various implementations, the text sequence labeling system trains a text sequence labeling machine-learning teacher model to generate text sequence labels. The text sequence labeling system then creates and trains a text sequence labeling machine-learning student model utilizing the training and the output of the teacher model. Upon the student model achieving improved results over the teacher model, the text sequence labeling system re-initializes the teacher model with the learned model parameters of the student model and repeats the above joint-learning self-distillation framework. The text sequence labeling system then utilizes a trained text sequence labeling model to generate text sequence labels from input documents.

Abstract: Systems, methods, and computer-readable media for gathering network intrusion counter-intelligence. A system can maintain a decoy network environment at one or more machines. The system can identify a malicious user accessing network services through the network environment. Further, the system can receive network service access requests from the user at one or more machines in the network environment and subsequently direct the network service access requests from the malicious user to the decoy network environment based on an identification of the malicious user. The network services access requests can be satisfied with network service access responses generated in the decoy network environment. Subsequently, the system can maintain malicious user analytics based on the network service access requests of the malicious user that are directed to the decoy network environment.

Abstract: The present disclosure relates to methods, systems, and non-transitory computer readable media for discovering policy scopes within an enterprise network and managing network policies for discovered policy scopes. In one aspect, a method includes identifying one or more communities of devices in an enterprise network; defining, from the one or more communities of devices, policy scopes in the enterprise network; generating a hierarchical representation of the policy scopes; identifying, based on the hierarchical representation of the policy scopes, one or more policies governing traffic flow between devices associated with each of the policy scopes; and managing application of the one or more policies at the devices.

Abstract: A transparent holographic diffuser screen that diffracts the light beams of a digital light projector, which focuses a real image in the plane of the aforementioned transparent holographic diffuser screen, which redirects the light to an eyebox at a pre-determined viewing position generating as a set of diffracted diffused beams that can be seen from the eyebox as a flat in-plane image. The transparent holographic diffuser screen may be used to provide either a highest luminance or a largest eyebox. Potential applications include use for automotive applications, which may include applications for displaying videos, playing games, and video conference apps.

Abstract: A system including one or more computers and one or more storage devices storing instructions that, when executed by the one or more computers, cause the one or more computers to implement a group-equivariant convolutional neural network configured to process a network input including a set of 3D points to generate an output tensor representing transformed features of the network input is described. The group-equivariant convolutional neural network includes a grouping layer, a switching layer, a pre-processing layer, a group-equivariant layer, a first subnetwork, an average pooling layer, a second subnetwork, an output subnetwork, and a final output layer.

Abstract: Sub-sampled DMRS are utilised in repeated mini-slots for PUSCH transmission. Each sub-sampled DMRS may be multiplex with data in the respective symbol.

Abstract: Systems, methods, and non-transitory computer-readable media are disclosed for determining multi-term contextual tags for digital content and propagating the multi-term contextual tags to additional digital content. For instance, the disclosed systems can utilize search query supervision to determine and associate multi-term contextual tags (e.g., tags that represent a specific concept based on the order of the terms in the tag) with digital content. Furthermore, the disclosed systems can propagate the multi-term contextual tags determined for the digital content to additional digital content based on similarities between the digital content and additional digital content (e.g., utilizing clustering techniques). Additionally, the disclosed systems can provide digital content as search results based on the associated multi-term contextual tags.

Abstract: A device and computer implemented method. The method includes determining an embedding of a first entity, in particular of a knowledge graph, inserting a first vertex for the embedding in an in particular weighted in particular undirected graph, determining in the graph a first cluster of vertices including the first vertex, determining for the first cluster a second entity, in particular in the knowledge graph, determining a semantic similarity between the first entity and the second entity, in particular in the knowledge graph, determining a rule for the first cluster depending on the semantic similarity between the first entity and the second entity.

Abstract: Systems and methods for lifelong schema matching are described. The systems and methods include receiving data comprising a plurality of information categories, classifying each information category according to a schema comprising a plurality of classes, wherein the classification is performed by a neural network classifier trained based on a lifelong learning technique using a plurality of exemplar training sets, wherein each of the exemplar training sets includes a plurality of examples corresponding to one of the classes, and wherein the examples are selected based on a metric indicating how well each of the examples represents the corresponding class, and adding the data to a database based on the classification, wherein the database is organized according to the schema.

Abstract: A photoacoustic probe head (200a, 200b) is disclosed. The probe head (200a, 200b) comprises: a Fabry Perot acoustic sensor (202), an interrogation interface (A), an excitation input (B) and a two-axis mirror (204). The Fabry Perot acoustic sensor (200a, 200b) is operable to reflect an optical interrogation beam to create a reflected interrogation beam and to modulate the reflected interrogation beam in response to an acoustic signal at the acoustic sensor (202). The interrogation interface (A) is configured to receive an interrogation beam, and to receive the reflected interrogation beam from the acoustic sensor (202). The excitation input (B) is configured to receive an excitation beam for generating an acoustic field in a sample adjacent to the acoustic sensor (202). The two axis mirror (240) is configured to scan the interrogation beam between different locations of the acoustic sensor (202).

Abstract: A method for dispatching tasks on processor cores based on memory access efficiency is disclosed. The method identifies a task and a memory area to be accessed by the task. The method may use one or more of a compiler, code knowledge, and run-time statistics to identify the memory area that is accessed by the task. The method identifies multiple processor cores that are candidates to execute the task and identifies a particular processor core from the multiple processor cores that provides most efficient access to the memory area. The method dispatches the task to execute on the particular processor core that is deemed most efficient. A corresponding system and computer program product are also disclosed.

Abstract: A motor driven system for raising and lowering a window covering executes motor ramp trajectory speed control. The motor ramp trajectory limits acceleration of an external motor from the idle (stationary) state to full operating speed, and limits deceleration of the motor from full operating speed back to the idle state. This function reduces stresses on a continuous cord loop drive mechanism. A control system manages solar heating effects in response to sunlight entrance conditions such as system sensor outputs, external weather forecasts, and other data sources. The system automatically opens or close the window covering to increase or decrease admitted sunlight under appropriate conditions. The input interface of the control system includes a visual display and input axis, which are aligned vertically if the window covering mechanism raises and lowers the window covering, and are aligned horizontally if the window covering mechanism laterally opens and closes the window covering.

Abstract: In one embodiment, a plant control apparatus controls a power plant. The plant includes a gas turbine, a generator driven by the gas turbine, an exhaust heat recovering boiler to generate first steam by using heat of exhaust gas from the gas turbine, a first steam turbine driven by the first steam, a reheater provided in the boiler and configured to heat exhaust steam from the first steam turbine by the exhaust gas to generate reheat steam, and a second steam turbine driven by the reheat steam. The apparatus includes a first warming-up module to supply second steam from equipment different from the boiler to the first steam turbine to warm up this turbine, before this turbine is started. The apparatus further includes a second warming-up module to supply the second steam to the reheater to warm up the reheater, before the first steam turbine is started.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for determining speech emotion. In particular, a speech emotion recognition system generates an audio feature vector and a textual feature vector for a sequence of words. Further, the speech emotion recognition system utilizes a neural attention mechanism that intelligently blends together the audio feature vector and the textual feature vector to generate attention output. Using the attention output, which includes consideration of both audio and text modalities for speech corresponding to the sequence of words, the speech emotion recognition system can apply attention methods to one of the feature vectors to generate a hidden feature vector. Based on the hidden feature vector, the speech emotion recognition system can generate a speech emotion probability distribution of emotions among a group of candidate emotions, and then select one of the candidate emotions as corresponding to the sequence of words.

Abstract: Methods and systems for management of uplink HARQ processes where fewer than a defined number of repetitions of uplink data are transmitted on configured grant resources. The applied HARQ processes may be varied dependent on the number of repetitions transmitted and dependent on the reception status at the base station.

Abstract: The present disclosure relates to utilizing a graph neural network to accurately and flexibly identify text phrases that are relevant for responding to a query. For example, the disclosed systems can generate a graph topology having a plurality of nodes that correspond to a plurality of text phrases and a query. The disclosed systems can then utilize a graph neural network to analyze the graph topology, iteratively propagating and updating node representations corresponding to the plurality of nodes, in order to identify text phrases that can be used to respond to the query. In some embodiments, the disclosed systems can then generate a digital response to the query based on the identified text phrases.

Abstract: This disclosure involves executing artificial intelligence models that infer image editing operations from natural language requests spoken by a user. Further, this disclosure performs the inferred image editing operations using inferred parameters for the image editing operations. Systems and methods may be provided that infer one or more image editing operations from a natural language request associated with a source image, locate areas of the source that are relevant to the one or more image editing operations to generate image masks, and performing the one or more image editing operations to generate a modified source image.

Abstract: A retaining ring can be shaped by machining or lapping the bottom surface of the ring to form a shaped profile in the bottom surface. The bottom surface of the retaining ring can include flat, sloped and curved portions. The lapping can be performed using a machine that dedicated for use in lapping the bottom surface of retaining rings. During the lapping the ring can be permitted to rotate freely about an axis of the ring. The bottom surface of the retaining ring can have curved or flat portions.

Abstract: The present invention provides methods, systems and computer program products that enable generating a shift handover report for display. The invention comprises (i) receiving a plurality of operator shift reports, (ii) parsing data from the received operator shift reports, and selecting a set of shift report data from the parsed data, wherein the selection is based at least on output received from a decision engine that is configured to (a) receive one or more of text data, tabular data, image data, audio data or video data, parsed the operator shift reports, and (b) output a score indicating suitability of shift report data corresponding to the input data, for inclusion within a shift handover report, (iii) generating and storing a shift handover report comprising the selected set of shift report data, and (iv) displaying the generated shift handover report comprising the selected set of shift report data.