Abstract: Small molecule inhibitors that block the interaction between B-cell lymphoma 10 protein (BCL10) and mucosa- associated lymphoid tissue lymphoma translocation protein 1 (MALT1), thereby inhibiting both the protease and scaffolding activities of MALT1, and MALT1- dependent downstream signaling, including IL-6 and IL-10 secretion by B-cell lymphoma cells and IL-2 transcription and secretion by Jurkat T cells.

Abstract: One embodiment provides an apparatus comprising a memory stack including multiple memory dies and a parallel processor including a plurality of multiprocessors. Each multiprocessor has a single instruction, multiple thread (SIMT) architecture, the parallel processor coupled to the memory stack via one or more memory interfaces. At least one multiprocessor comprises a multiply-accumulate circuit to perform multiply-accumulate operations on matrix data in a stage of a neural network implementation to produce a result matrix comprising a plurality of matrix data elements at a first precision, precision tracking logic to evaluate metrics associated with the matrix data elements and indicate if an optimization is to be performed for representing data at a second stage of the neural network implementation, and a numerical transform unit to dynamically perform a numerical transform operation on the matrix data elements based on the indication to produce transformed matrix data elements at a second precision.

Abstract: A system and method for autogenerated synthetic operational customer satisfaction scoring and analysis, that generates synthetic calls and follows customer interactions across multiple channels as a single journey, which monitors synthetic calls for a plurality of failure events that may represent infrastructure related operational deficiencies that may adversely affect customer satisfaction and sentiment, which assigns a synthetic operational customer satisfaction score for each synthetic call, and which uses machine learning to optimize infrastructure configurations to improve customer satisfaction and sentiment.

Abstract: Embodiments provide mechanisms to facilitate compute operations for deep neural networks. One embodiment comprises a graphics processing unit comprising one or more multiprocessors, at least one of the one or more multiprocessors including a register file to store a plurality of different types of operands and a plurality of processing cores. The plurality of processing cores includes a first set of processing cores of a first type and a second set of processing cores of a second type. The first set of processing cores are associated with a first memory channel and the second set of processing cores are associated with a second memory channel.

Abstract: A surface mount device having features on contacts to prevent the surface mount device from tombstoning. The feature may be channel defined by the contact that helps balance a torque/force applied on each side of the surface mount device during a reflow soldering process. The feature may also be a solder mask that helps balance a torque/force applied on each side of the surface mount device during a reflow soldering process.

Abstract: Techniques to handle calls to web services via a service proxy are disclosed herein. In one embodiment, a technique includes an intermediate server receiving a request from a client device to the web service at a target server. In response to receiving the request, the intermediate server can authenticate the received request from the client device and upon successful authentication of the received request, forward the request to the targeted server and invoking the web service to process the forwarded request because the intermediate server is authenticated with the target server. The technique can also include receiving, at the intermediate server, data from the target server that represents execution results of the request by the web service at the target server. Upon receiving the data, the intermediate server can then forward to the client device, the data representing execution results of the request by the web service at the target server.

Abstract: A system and method for autogenerated synthetic operational customer satisfaction scoring and analysis, that generates synthetic calls and follows customer interactions across multiple channels as a single journey, which monitors synthetic calls for a plurality of failure events that may represent infrastructure related operational deficiencies that may adversely affect customer satisfaction and sentiment, which assigns a synthetic operational customer satisfaction score for each synthetic call, and which uses machine learning to optimize infrastructure configurations to improve customer satisfaction and sentiment.

Abstract: Techniques to handle calls to web services via a service proxy are disclosed herein. In one embodiment, a technique includes an intermediate server receiving a request from a client device to the web service at a target server. In response to receiving the request, the intermediate server can authenticate the received request from the client device and upon successful authentication of the received request, forward the request to the targeted server and invoking the web service to process the forwarded request because the intermediate server is authenticated with the target server. The technique can also include receiving, at the intermediate server, data from the target server that represents execution results of the request by the web service at the target server. Upon receiving the data, the intermediate server can then forward to the client device, the data representing execution results of the request by the web service at the target server.

Abstract: Techniques to handle calls to web services via a service proxy are disclosed herein. In one embodiment, a technique includes an intermediate server receiving a request from a client device to the web service at a target server. In response to receiving the request, the intermediate server can authenticate the received request from the client device and upon successful authentication of the received request, forward the request to the targeted server and invoking the web service to process the forwarded request because the intermediate server is authenticated with the target server. The technique can also include receiving, at the intermediate server, data from the target server that represents execution results of the request by the web service at the target server. Upon receiving the data, the intermediate server can then forward to the client device, the data representing execution results of the request by the web service at the target server.

Abstract: Techniques to handle calls to web services via a service proxy are disclosed herein. In one embodiment, a technique includes an intermediate server receiving a request from a client device to the web service at a target server. In response to receiving the request, the intermediate server can authenticate the received request from the client device and upon successful authentication of the received request, forward the request to the targeted server and invoking the web service to process the forwarded request because the intermediate server is authenticated with the target server. The technique can also include receiving, at the intermediate server, data from the target server that represents execution results of the request by the web service at the target server. Upon receiving the data, the intermediate server can then forward to the client device, the data representing execution results of the request by the web service at the target server.

Abstract: Non-limiting examples describe sharing of bundled content through an application/service. A first input may be received, through a user interface of the email service. The first input is associated with a selection of a user interface element for sharing of a bundle of emails that comprises a grouping of at least two separate email threads. A second input is received indicating one or more other users for sharing the bundle of emails. The bundle of emails is shared with the one or more other users. Sharing of the bundle of emails creates a sharing permission that enables multi-directional sharing between the user and the one or more other users for current content of the shared bundle of emails and future content added to the shared bundle of emails. The shared bundle of emails is displayed inline with other emails of an email mailbox of the user through the user interface.

Abstract: Non-limiting examples describe automated management of rich content previews associated with bundled content of an application/service. As an example, a bundle of content may be a bundle of emails created within an email service. Email content associated with a bundle of emails may be accessed. The email content may be evaluated based on application of machine learning model that: determines an entity type associated with the bundle of emails based on the tag, identifies a state associated with the bundle of emails, and determines relevancy of specific email content in association with a determined entity type and the identified state associated with the bundle of emails. A rich content preview for the bundle of emails may be generated based on an evaluation of the email content.

Abstract: Non-limiting examples describe enhanced searching and filtering of message content by an application/service. Processing operations described herein are applicable to any type of message content including but not limited to bundled content of an email service. A search input may be received through a user interface of an email service. The search input may be for searching emails associated with a mailbox the email service. Email results may be retrieved based on the received search input. The retrieved email results may be categorized into one or more categories. A smart filter may be generated for filtering the retrieved email results. An exemplary smart filter may comprise at least one filter field that corresponds to category specific content extracted from emails of a category of the one or more categories. The email results and the smart filter may be displayed through the user interface of the email service.

Abstract: Non-limiting examples describe automated bundling of content on behalf of a user by an application/service. As an example, a bundle of content may be a bundle of emails created on behalf of a user by an email service. Email data associated with a user account of an email service may be accessed. The email data may be evaluated by applying a bundle generation model that that evaluates the emails for bundling associations. An exemplary bundle generation model may evaluate the email data based on: user signal data from actions pertaining to categorization of specific emails, content and metadata corresponding with the email data, and server side metric analysis of activity corresponding with the user account. A bundle of emails may be automatically generated based on an evaluation result from applying the bundle generation model. The bundle of emails may be transmitted for display in a mailbox of the user account.

Abstract: An electronic mail (e-mail) display is generated for a user, showing a mailbox for the user. A next calendar item indication is persistently displayed on the e-mail display. The next calendar item includes a countdown timer showing a time until the next calendar item is scheduled to begin.

Abstract: An electronic mail (e-mail) display is generated for a user, showing a mailbox for the user. A next calendar item indication is persistently displayed on the e-mail display. The next calendar item includes a countdown timer showing a time until the next calendar item is scheduled to begin.

Abstract: A message related to a first thread is received, and a fork in the conversation is identified. The received message is placed in a second thread and a display shows the fork and that the two threads are related.

Abstract: Non-limiting examples describe automated bundling of content on behalf of a user by an application/service. As an example, a bundle of content may be a bundle of emails created on behalf of a user by an email service. Email data associated with a user account of an email service may be accessed. The email data may be evaluated by applying a bundle generation model that that evaluates the emails for bundling associations. An exemplary bundle generation model may evaluate the email data based on: user signal data from actions pertaining to categorization of specific emails, content and metadata corresponding with the email data, and server side metric analysis of activity corresponding with the user account. A bundle of emails may be automatically generated based on an evaluation result from applying the bundle generation model. The bundle of emails may be transmitted for display in a mailbox of the user account.

Abstract: Non-limiting examples describe automated bundling of content on behalf of a user by an application/service. As an example, a bundle of content may be a bundle of emails created on behalf of a user by an email service. Email data associated with a user account of an email service may be accessed. The email data may be evaluated by applying a bundle generation model that that evaluates the emails for bundling associations. An exemplary bundle generation model may evaluate the email data based on: user signal data from actions pertaining to categorization of specific emails, content and metadata corresponding with the email data, and server side metric analysis of activity corresponding with the user account. A bundle of emails may be automatically generated based on an evaluation result from applying the bundle generation model. The bundle of emails may be transmitted for display in a mailbox of the user account.

Abstract: When a message is received, the recipient set in the message, as well as ancestor message identifiers, are analyzed. The received message is either placed in an existing thread in an existing conversation, or in a new thread in the conversation, based upon the analysis of the recipient set and the ancestor identifiers.