Abstract: Disclosed are compounds of Formula (I) N-oxides, or salts thereof, wherein X, Y, A, G, R1, and R5 are defined herein. Also disclosed are methods of using such compounds as inhibitors of signaling through Toll-like receptor 7, or 8, or 9, and pharmaceutical compositions comprising such compounds. These compounds are useful in treating inflammatory and autoimmune diseases.

Abstract: Systems and techniques are provided for performing user authentication. For example, a process can include obtaining a plurality of images associated with a face and a facial expression of the user, wherein each respective image of the plurality of images includes a different portion of the face. An encoder neural network can be used to generate one or more predicted three-dimensional (3D) facial modeling parameters, wherein the encoder neural network generates the one or more predicted 3D facial modeling parameters based on the plurality of images. A reference 3D facial model associated with the face and the facial expression can be obtained. An error can be determined between the one or more predicted 3D facial modeling parameters and the reference 3D facial model, and the user can be authenticated user based on the error being less than a pre-determined authentication threshold.

Abstract: A mechanism is provided to implement an action-object interaction detection mechanism for recognizing actions in cluttered video scenes. An object bounding box is computed around an object of interest identified in a corresponding label in an initial frame where the object of interest appears in the frame. The object bounding box is propagated from the initial frame to a subsequent frame. For the initial frame and the subsequent frame: the object bounding boxes of the initial frame and the subsequent frame are refined and cropped based on the associated refined object bounding boxes. The set of cropped frames are processed to determine a probability that an action that is to be verified from the corresponding label is being performed. Responsive to determining the probability is equal to or exceeds a verification threshold, a confirmation is provided that the action-object interaction video performs the action that is to be verified.

Abstract: Noisy-neighbor detection and remediation is provided by performing real-time monitoring of workload processing and associated resource consumption of application components that use shared resource(s) of a computing environment, determining workload and shared resource consumption patterns for each of the application components, for each application, of a plurality of applications, that includes at least one application component of the application components, correlating the determined workload and shared resource consumption patterns of each of those application component(s) and determining a correlated shared resource usage pattern for that application, performing impact analysis to determine impact of the applications on each other, and identifying noisy-neighbor(s) that use the one or more shared resources and automatically raising an alert indicating those noisy-neighbor(s).

Abstract: Embodiments disclosed herein include transistor devices and methods of forming such transistor devices. In an embodiment a transistor comprises a substrate, and a fin that extends up from the substrate. In an embodiment, the fin comprises a source region, a drain region, and a channel region between the source region and the drain region. In an embodiment, the transistor further comprises and a cavity in the fin, where the cavity is below the channel region. In an embodiment, the transistor further comprises a gate stack over the fin.

Abstract: An item recommendation control platform is disclosed. The item recommendation control platform presents an administrative user one or more user interfaces at which recommendation rules may be defined. Each of the recommendation rules may be associated with one or more nodes within a retail website, such as an item detail page or an item category page. The recommendation rules may be selected, defined, and prioritized, such that one or more item recommendation rules may be reflected within a given item recommendation presented on a retail website. The item recommendation rules can include one or more filters, the filters controlling which items may be recommended to a given user based, for example, on item availability or shipping availability.

Abstract: Fin shaping, and integrated circuit structures resulting therefrom, are described. For example, an integrated circuit structure includes a semiconductor fin having a protruding fin portion above an isolation structure above a substrate. The protruding fin portion has substantially vertical upper sidewalls and outwardly tapered lower sidewalls. A gate stack is over and conformal with the protruding fin portion of the semiconductor fin. A first source or drain region is at a first side of the gate stack, and a second source or drain region is at a second side of the gate stack opposite the first side of the gate stack.

Abstract: In one embodiment, a processor includes: a plurality of cores; a first storage to store parameter information for a voltage regulator to couple to the processor via a voltage regulator interface; and a power controller to control power consumption of the processor. The power controller may determine a performance state for one or more cores of the processor and include a hardware logic to generate a message for the voltage regulator based at least in part on the parameter information, where this message is to cause the voltage regulator to output a voltage to enable the one or more cores to operate at the performance state. Other embodiments are described and claimed.

Abstract: Systems and techniques are provided for generating a texture for a three-dimensional (3D) facial model. For example, a process can include obtaining a first frame, the first frame including a first portion of a face. In some aspects, the process can include generating a 3D facial model based on the first frame and generating a first facial feature corresponding to the first portion of the face. In some examples, the process includes obtaining a second frame, the second frame including a second portion of the face. In some cases, the second portion of the face at least partially overlaps the first portion of the face. In some examples, the process includes combining the first facial feature with the second facial feature to generate an enhanced facial feature, wherein the combining is performed to enhance an appearance of select areas of the enhanced facial feature.

Abstract: Techniques for host resource group sharing in a provider network are described. A resource share is made of a host resource group made up of dedicated hosts in the provider network. The share provides access to the host resource group of a primary account with one or more other principals—e.g., user accounts, an organization, or a group of users. The other principals can launch compute instances into the host resource group, which may cause the automatic provisioning of new hosts into the host resource group, of the primary account, as needed.

Abstract: A method for improving availability of a type of network element in a mobile network includes receiving a first message from a source network element at a first network element instance that belongs to a network element anycast set. The first message is addressed to an anycast address that is assigned to the network element anycast set. The first network element instance processes the first message and accesses an anycast set data store in relation to processing the first message. The method also includes receiving a second message from the source network element at a second network element instance that also belongs to the network element anycast set. The second message is also addressed to the anycast address and can be received when the first network element instance is unavailable. The second network element instance processes the second message and accesses the anycast set data store in relation thereto.

Abstract: Techniques are provided herein to form semiconductor devices on a substrate with an alternative crystallographic surface orientation. The techniques are particularly useful with respect to gate-all-around and forksheet transistor configurations. A substrate having a (110) crystallographic surface orientation forms the basis for the growth of alternating types of semiconductor layers. Both n-channel and p-channel transistors may be fabricated using silicon nanoribbons formed from some of the alternating semiconductor layers. The crystallographic surface orientation of the Si nanoribbons will reflect the same crystallographic surface orientation of the substrate, which leads to a higher hole mobility across the Si nanoribbons of the p-channel devices and an overall improved CMOS device performance.

Abstract: A method, a structure, and a computer system for multilingual learning. The exemplary embodiments may include training, for each language in a set of two or more languages, a model for a task and identifying one or more important words appearing in at least two of the models. The exemplary embodiments may further include weighting one or more conflicts and one or more overlaps between the one or more important words, as well as generating a cluster of at least two languages of the set based on an aggregate of the weighting.

Abstract: Systems and techniques are provided for generating a three-dimensional (3D) facial model. For example, a process can include obtaining at least one input image associated with a face. In some aspects, the process can include obtaining a pose for a 3D facial model associated with the face. In some examples, the process can include generating, by a machine learning model, the 3D facial model associated with the face. In some cases, one or more parameters associated with a shape component of the 3D facial model are conditioned on the pose. In some implementations, the 3D facial model is configured to vary in shape based on the pose for the 3D facial model associated with the face.

Abstract: Imaging systems and techniques are described. An imaging system receives, from an image sensor, image(s) of a user (e.g., in a pose and/or with a facial expression). The image sensor captures the first set of image(s) in a first electromagnetic (EM) frequency domain, such as the infrared and/or near-infrared domain. The imaging system generates a representation of the user in the first pose in a second EM frequency domain (e.g., visible light domain) at least in part by inputting the image(s) into one or more trained machine learning models. The representation of the user is based on an image property associated with image data of at least the part of the user in the second EM frequency domain. The imaging system outputs the representation of the user in the pose in the second EM frequency domain.

Abstract: Disclosed herein are compositions that comprise engineered polynucleotides, pharmaceutical compositions comprising the same, methods of making the same, and methods of treatment comprising the compositions that comprise the engineered polynucleotides.

Abstract: A composition and method for using the composition in the fabrication of an electronic device are disclosed. Compounds, compositions and methods for depositing a low dielectric constant (<4.0) and high oxygen ash resistance silicon-containing film such as, without limitation, a carbon doped silicon oxide, are disclosed.

Abstract: A powder contains xanthan gum and at least one urolithin, such as Urolithin A; and the powder can be reconstituted in a liquid such as water to form a liquid composition for oral consumption, such as a beverage. The xanthan gum can keep the majority of the at least one urolithin in suspension in the beverage. The resultant liquid composition for oral consumption is another aspect of the present disclosure, as well as methods of making the powder, making the liquid composition for oral consumption, and using the powder or liquid composition prophylactically or therapeutically.

Abstract: A multi-modal machine learning model is disclosed that may be implemented in a recommender system. The model may generate a multi-modal embedding based on a user query, one or more user-selected items, and a conversation history. The one or more user-selected items may include text data and visual data. In some embodiments, the recommender system may use the multi-modal embeddings to recommend one or more items of a plurality of items. In some embodiments, the multi-modal model may be integrated with other systems.

Abstract: Disclosed are compounds of Formula (I) or a salt thereof, wherein R1, R2, R3, R4, R5, m, n, and p are defined herein. Also disclosed are methods of using such compounds as inhibitors of signaling through Toll-like receptor 7, or 8, or 9, and pharmaceutical compositions comprising such compounds. These compounds are useful in treating inflammatory and autoimmune diseases.