Abstract: Embodiments include systems, devices, and methods for monitoring etch or deposition rates, or controlling an operation of a wafer fabrication process. In an embodiment, a processing tool includes a processing chamber having a liner wall around a chamber volume, and a monitoring device having a sensor exposed to the chamber volume through a hole in the liner wall. The sensor is capable of measuring, in real-time, material deposition and removal rates occurring within the chamber volume during the wafer fabrication process. The monitoring device can be moved relative to the hole in the liner wall to selectively expose either the sensor or a blank area to the chamber volume through the hole. Accordingly, the wafer fabrication process being performed in the chamber volume may be monitored by the sensor, and the sensor may be sealed off from the chamber volume during an in-situ chamber cleaning process. Other embodiments are also described and claimed.

Abstract: Embodiments herein use transfer learning paradigms to facilitate classification across entities without requiring the entities access to the other party's sensitive data. In one or more embodiments, one entity may train a model using its own data (which may include at least some non-shared data) and shares either the scores (or an intermediate representation of the scores). One or more other parties may use the scores as a feature in its own model. The scores may be considered to act as an embedding of the features but do not reveal the features. In other embodiments, parties may be used to train part of a model or participate in generating one or more nodes of a decision tree without revealing all its features. The trained models or decision trees may then be used for classifying unlabeled events or items.

Abstract: A real-time messaging platform allows advertiser accounts to pay to insert candidate messages into the message streams requested by account holders. To accommodate multiple advertisers, the messaging platform controls an auction process that determines which candidate messages are selected for inclusion in a requested account holder's message stream. Selection is based on a bid for the candidate message, the message stream that is requested, and a variety of other factors that vary depending upon the implementation. The process for selection of candidate messages generally includes the following steps, though any given step may be omitted or combined into another step in a different implementation: targeting, filtering, prediction, ranking, and selection.

Abstract: A real-time messaging platform allows advertiser accounts to pay to insert candidate messages into the message streams requested by account holders. To accommodate multiple advertisers, the messaging platform controls an auction process that determines which candidate messages are selected for inclusion in a requested account holder's message stream. Selection is based on a bid for the candidate message, the message stream that is requested, and a variety of other factors that vary depending upon the implementation. The process for selection of candidate messages generally includes the following steps, though any given step may be omitted or combined into another step in a different implementation: targeting, filtering, prediction, ranking, and selection.

Abstract: Embodiments of the present disclosure include systems and methods for identifying people in an image that contains more than one images of people. In embodiments, a query feature representation that represents features is extracted from each image of a person. In embodiments, each query feature representation is compared to image feature representations in a database and a set of candidate representations is selected among the image feature representations. Then, a set of user accounts that is associated with the set of candidate representations is selected. The strengths of connection in a network between user accounts in a set of candidate user accounts corresponding to an image and user accounts in a different set of candidate user accounts corresponding to a different image may be determined. In embodiments, user accounts that has the highest strength of connection are selected and used to identify the persons corresponding to the images.

Abstract: In one embodiment, an adapter plate for a deposition chamber is provided. The adapter plate comprises a body, a mounting plate centrally located on the body, a first annular portion extending longitudinally from a first surface of the mounting plate and disposed radially inward from an outer surface of the mounting plate, a second annular portion extending longitudinally from an opposing second surface of the mounting plate and disposed radially inward from the outer surface of the mounting plate, and a mirror-finished surface disposed on the interior of the second annular portion, the mirror-finished surface having an average surface roughness of 6 Ra or less.

Abstract: Embodiments of the present disclosure include systems and methods for identifying people in an image that contains more than one face images. In embodiments, a query feature vector that represents features is extracted from each face image. In embodiments, each query feature vector is compared to image feature vectors in a database and a set of candidate vectors is selected among the image feature vectors. Then, a set of user accounts that is associated with the set of candidate vectors is selected. The strengths of connection in a network between user accounts in a set of candidate user accounts corresponding to a face image and user accounts in a different set of candidate user accounts corresponding to a different face image may be determined. In embodiments, user accounts that has the highest strength of connection are selected and used to identify the persons corresponding to the face images.

Abstract: Described herein are systems and methods for predicting a metric value for an entity associated with a query node in a graph that represents a network. In embodiments, using a user's profile as the query node, a metric about that user may be estimated based, at least in part, as a function of how well connected the query node is to a whitelist of “good” users/nodes in the network, a blacklist of “bad” users/nodes in the network, or both. In embodiments, one or more nodes or edges may be weighted when determining a final score for the query node. In embodiments, the final score regarding the metric may be used to take one or more actions relative to the query node, including accepting it into a network, allowing or rejecting a transaction, assigning a classification to the node, using the final score to compute another estimate for a node, etc.

Abstract: Embodiments of a method and apparatus for co-sputtering multiple target materials are provided herein. In some embodiments, a process chamber including a substrate support to support a substrate; a plurality of cathodes coupled to a carrier and having a corresponding plurality of targets to be sputtered onto the substrate; and a process shield coupled to the carrier and extending between adjacent pairs of the plurality of targets.

Abstract: In one embodiment, an adapter plate for a deposition chamber is provided. The adapter plate comprises a body, a mounting plate centrally located on the body, a first annular portion extending longitudinally from a first surface of the mounting plate and disposed radially inward from an outer surface of the mounting plate, a second annular portion extending longitudinally from an opposing second surface of the mounting plate and disposed radially inward from the outer surface of the mounting plate, and a mirror-finished surface disposed on the interior of the first annular portion, the mirror-finished surface having an average surface roughness of 6 Ra or less.

Abstract: A method for distributed processing involves receiving a graph (G) of targets and of influencers, with each influencer related to at least one target, receiving an action graph of actions performed by one or more of the influencers, and key partitioning G across shards. The method further involves transposing the first graph (G) to obtain a first transposed graph (GT), valuing partitioning GT across the shards, storing the action graph on multiple shards, issuing, to a shard, a request specifying an influencer, to perform an intersection, receiving a response to the request of a set of influencers each of which is related to a target, and determining whether to send a recommendation to the target based on the response.

Abstract: Embodiments include a processing tool for processing substrates in a low processing pressure and a high processing pressure. In an embodiment, the processing tool comprises a chamber body and a pedestal in the chamber body. In an embodiment, the pedestal is displaceable, and the pedestal has a first surface and a second surface opposite the first surface. In an embodiment, the processing tool further comprises a first gas port for supplying gasses into the chamber body and a first exhaust positioned above the first surface of the pedestal. In an embodiment, the embodiment further comprises a second gas port for supplying gasses into the chamber body and a second exhaust positioned below the second surface of the pedestal.

Abstract: Described herein are systems and methods for predicting a metric value for an entity associated with a query node in a graph that represents a network. In embodiments, using a user's profile as the query node, a metric about that user may be estimated based, at least in part, as a function of how well connected the query node is to a whitelist of “good” users/nodes in the network, a blacklist of “bad” users/nodes in the network, or both. In embodiments, one or more nodes or edges may be weighted when determining a final score for the query node. In embodiments, the final score regarding the metric may be used to take one or more actions relative to the query node, including accepting it into a network, allowing or rejecting a transaction, assigning a classification to the node, using the final score to compute another estimate for a node, etc.

Abstract: Embodiments of a method and apparatus for co-sputtering multiple target materials are provided herein. In some embodiments, a process chamber including a substrate support to support a substrate; a plurality of cathodes coupled to a carrier and having a corresponding plurality of targets to be sputtered onto the substrate; and a process shield coupled to the carrier and extending between adjacent pairs of the plurality of targets.

Abstract: Embodiments described herein include a resonant process monitor and methods of forming such a resonant process monitor. In an embodiment, the resonant process monitor includes a frame that has a first opening and a second opening. In an embodiment, a resonant body seals the first opening of the frame. In an embodiment, a first electrode on a first surface of the resonant body contacts the frame and a second electrode is on a second surface of the resonant body. Embodiments also include a back plate that seals the second opening of the frame. In an embodiment the back plate is mechanically coupled to the frame, and the resonant body, the back plate, and interior surfaces of the frame define a cavity.

Abstract: Aspects of the current disclosure include systems and methods for identifying an entity in a query image by comparing the query image with digital images in a database. In one or more embodiments, a query feature may be extracted from the query image and a set of candidate features may be extracted from a set of images in the database. In one or more embodiments, the distances between the query feature and the candidate features are calculated. A feature, which includes a set of shortest distances among the calculated distances and a distribution of the set of shortest distances, may be generated. In one or more embodiments, the feature is input to a trained model to determine whether the entity in the query image is the same entity associated with one of the set of shortest distances.

Abstract: A real-time messaging platform and method are disclosed which can be used to promote content in the messaging platform. In one embodiment, the promotion system is disclosed which performs initial candidate selection so as to narrow down the set of candidate promotions before applying more expensive processing. The candidate selection takes advantage of the connection graph information associated with accounts in the messaging platform to identify targeted accounts. In another embodiment, the promotion system uses a prediction model to predict a user's engagement with the promotion and utilizes the prediction to assist in ranking the candidate promotions. Promotions can be assigned metrics based, for example, on a weighted combination of user engagement rates, decayed with time to reflect an intuition that recent interactions by one or more users with the promotion will have a greater impact than older interactions with the promotion.

Abstract: A method for distributed processing involves receiving a graph (G) of targets and of influencers, with each influencer related to at least one target, receiving an action graph of actions performed by one or more of the influencers, and key partitioning G across shards. The method further involves transposing the first graph (G) to obtain a first transposed graph (GT), valuing partitioning GT across the shards, storing the action graph on multiple shards, issuing, to a shard, a request specifying an influencer, to perform an intersection, receiving a response to the request of a set of influencers each of which is related to a target, and determining whether to send a recommendation to the target based on the response.

Abstract: A real-time messaging platform and method is disclosed which classifies messages in accordance with a combination of user engagement events as modified to reflect the temporal structure of the user engagement events. A message can be assigned a metric based, for example, on a weighted combination of user engagement rates, decayed with time to reflect an intuition that recent interactions by one or more users with the message will have a greater impact than older interactions with the message. Different types of interaction by one or more users with the message can be assigned different weights when the different engagement events are combined and, also, can be assigned different temporal characteristics.

Abstract: The current invention relates to a magnetic pole assembly, providing flux to an air gap, comprising one or more magnetic pole pieces and one or more sources of magnetic flux. Said one or more sources of magnetic flux lie adjacent to the axial faces and circumferential faces and one of the radially inner face or radially outer face of each magnetic pole piece. Thereby to allow flux created by said one or more sources of magnetic flux to enter the one or more magnetic pole pieces in order to focus the magnetic flux of said pole piece towards and out of the radial surface not having a source of magnetic flux adjacent thereto. Such an arrangement, increases the flux density in the air gap adjacent to said radial surface not having a source of magnetic flux adjacent thereto.