Abstract: The present application relates to triterpene glycoside saponin-derived adjuvants, syntheses thereof, and intermediates thereto. The application also provides formulations and pharmaceutical compositions comprising compounds of the present invention and methods of using said compounds, formulations, or compositions in the treatment of and immunization for infectious diseases.

Abstract: This disclosure describes techniques that include validation or other assessments of digital systems, such as machine learning models and other statistical models. In one example, this disclosure describes a method that includes receiving, by a validation computing system and from a development system, a request to perform a test on a model configured to execute on the development system; outputting, by the validation computing system to the development system and in response to the request, an instruction; enabling the development system to process the instruction; receiving, by the validation computing system, test response data; evaluating, by the validation system, the test response data.

Abstract: Embodiments implement a secure connector framework at a cloud infrastructure. Embodiments receive one or more notebook profiles from an on-premises system corresponding to a first cloud customer, the on-premises system comprising at least one of one or more datasets, one or more models, or one or more libraries, the notebook profiles comprising permission sets that specify a level of access to the datasets, the models and the libraries, the notebook profiles corresponding to an on-premises machine learning (“ML”) notebook. Embodiments transform the received notebook profiles into a cloud policy set for sharing the datasets, the models and the libraries. Embodiments then transmit and receive corresponding data from the first cloud customer to a second cloud customer, the transmitted and received data based on the cloud policy set.

Abstract: Embodiments securely share a machine learning (“ML”) notebook, comprising a plurality of cells, over a cloud network. Embodiments receive the ML notebook with one or more of the cells designated as a masked cell. Embodiments encrypt the masked cells and hash the masked cell using a corresponding hash. Embodiments store the hashed masked cell with a corresponding one or more identities of users who can use the hash to execute the masked cell.

Abstract: This disclosure describes techniques that include validation or other assessments of digital systems, such as machine learning models and other statistical models. In one example, this disclosure describes a method that includes receiving, by a validation computing system and from a development system, a request to perform a test on a model configured to execute on the development system; outputting, by the validation computing system to the development system and in response to the request, an instruction; enabling the development system to process the instruction; receiving, by the validation computing system, test response data; evaluating, by the validation system, the test response data.

Abstract: An apparatus and a method for providing nano coating on a surface is provided. The apparatus includes a spark head unit electrically coupled to a voltage source and mounted on a frame. The spark head unit includes electrode pairs composed of a predefined inorganic material. The electrode pairs are mounted on the spark head unit in a three-dimensional array format. The electrode pairs are adapted to provide a spark between electrodes of the corresponding electrode pairs to obtain a fused electrode material upon receiving a voltage from the voltage source. The electrode pairs are also adapted to deposit the fused electrode material obtained on a surface thereby providing nano coating on the surface. The fused electrode material includes oxides of the predefined inorganic material. The three-dimensional array format is adapted to provide non-uniform deposition of the fused electrode material on the surface.

Abstract: Disclosed embodiments provide tools and techniques for the automated generation of a series of sets of collection worklists for collection agents. Consecutive sets of collection worksheets may be created in a series over any selected time interval, for example weekly, daily, or monthly. Worklists for one time interval can be combined into worklists for other time intervals. The generation of a collection worklist for a selected time interval can include several processing and monitoring steps implemented with machine learning or artificial intelligence. The collection worklists may then be provided to collections agents, collections managers, or downstream software modules to inform and guide the collection activities undertaken by collections agents.

Abstract: Disclosed embodiments provide tools and techniques for the automated prioritized ranking of collection customers for accounts receivable and collections management processes. In some embodiments, one or more computing systems may repetitively generate a prioritized list of collection customers requiring collection activity. The prioritized lists can be generated at selected time intervals, for example daily, weekly, or monthly. The generation of the prioritized list for a selected time interval can include several processing and monitoring steps implemented with machine learning or artificial intelligence. The prioritized list may then be provided to collections agents, collections managers, or downstream software modules.

Abstract: Methods, systems, and computer programs are presented for finding job-posts shared or posted by connections of a job-seeking member. One method includes an operation for uploading social graph information, resource information, and member information to a data store. The method further includes receiving, by the data store, a request for resources associated with connections of a member, the request comprising a member identifier (ID) of the member. The data store determines first-degree connections of the member ID, and second-degree connections based on the first-degree connections. Further, the data store determines resources associated with any member from the first-degree connections or from the second-degree connections. The method further includes sorting the determined resources based on a relevance of each resource to a profile of the member ID, and causing presentation on a display of at least one of the sorted plurality of resources.

Abstract: A robotic singulation system that provides an automated visual indication for human intervention is disclosed. In various embodiments, the system includes a communication interface; and a processor coupled to the communication interface and configured to: receive via the communication interface an indication of an error with respect to a receptacle comprising a conveyance structure; and in response to the indication, cause a visual indication to be provided with respect to the receptacle as it is moved through a workspace by the conveyance structure.

Abstract: A robotic singulation system configured to enable automated routing of manually scanned packages is disclosed. In various embodiments, image data associated with a workspace in which at least a portion of a segmented conveyance structure is located is received at a processor via a communication interface. A visually-provided user input indicating a receptacle comprising the segmented conveyance structure is detected, based at least in part on the image data. A receptacle identifier associated with the receptacle indicated by the visually-provided user input is determined, in response to the visually-provided input and based at least in part on the image data. A scanned package information is associated with the receptacle identifier, at least in part in response to the visually-provided input.

Abstract: A system and method for aggregating content, social sharing and instant messaging of saved electronic content to a memory location includes an administrator for controlling and allocating storage quota, based on a subscription type of one or more users. The user receives the electronic content on his computing device by selecting a text from the electronic content or the user can select the document by pressing the copy menu, which causes a pop-up user interface. The user can save the electronic content in one click directly on the user device or to a server as well as collaborate on the instant messaging platform to chat or share electronic content with other users.

Abstract: Embodiments securely share a machine learning (“ML”) notebook, comprising a plurality of cells, over a cloud network. Embodiments receive the ML notebook with one or more of the cells designated as a masked cell. Embodiments encrypt the masked cells and hash the masked cell using a corresponding hash. Embodiments store the hashed masked cell with a corresponding one or more identities of users who can use the hash to execute the masked cell.

Abstract: Embodiments implement a secure connector framework at a cloud infrastructure. Embodiments receive one or more notebook profiles from an on-premises system corresponding to a first cloud customer, the on-premises system comprising at least one of one or more datasets, one or more models, or one or more libraries, the notebook profiles comprising permission sets that specify a level of access to the datasets, the models and the libraries, the notebook profiles corresponding to an on-premises machine learning (“ML”) notebook. Embodiments transform the received notebook profiles into a cloud policy set for sharing the datasets, the models and the libraries. Embodiments then transmit and receive corresponding data from the first cloud customer to a second cloud customer, the transmitted and received data based on the cloud policy set.

Abstract: A system can display content generated from one type of machine-generated data to a user via a graphical user interface. Based on an interaction with the machine-generated data, the system can determine an entity identifier associated with the machine-generated data and determine an entity type for the entity identifier. The system can map the entity type to one or more content generators associated with the entity type and communicate the entity identifier to the identified content generators. The content generators can determine if they have content associated with the machine-generated data. The system can generate and display a link to the related content via a graphical user interface.

Abstract: The extraction of a three-dimensional (3D) object is facilitated using a printed hint, which includes an additional shape that is printed along with the 3D object in a granular-based printer bed. In example implementations, the hint is indicative of a location of the 3D object. In one example, a hint has a dimension indicative of a depth to the object in the printer bed. In another example, a position of a hint is indicative that the object is below, and a size of the hint is based on a size of the object. Some hints can also protect the object. Examples include plate and shell-shaped hints. The object is located under a plate hint or within a shell hint. Further, an appearance of the object or indications of the sturdiness of different parts of the object can be printed on the hint to facilitate a safe extraction of the object.

Abstract: A system and method for aggregating content, social sharing and instant messaging of saved electronic content to a memory location includes an administrator for controlling and allocating storage quota, based on a subscription type of one or more users. The user receives the electronic content on his computing device by selecting a text from the electronic content or the user can select the document by pressing the copy menu, which causes a pop-up user interface. The user can save the electronic content in one click directly on the user device or to a server as well as collaborate on the instant messaging platform to chat or share electronic content with other users.

Abstract: A system and method for aggregating content, social sharing and instant messaging of saved electronic content to a memory location includes an administrator for controlling and allocating storage quota, based on a subscription type of one or more users. The user receives the electronic content on his computing device by selecting a text from the electronic content or the user can select the document by pressing the copy menu, which causes a pop-up user interface. The user can save the electronic content in one click directly on the user device or to a server as well as collaborate on the instant messaging platform to chat or share electronic content with other users.

Abstract: A system can display content generated from one type of machine-generated data to a user via a graphical user interface. Based on an interaction with the machine-generated data, the system can determine an entity identifier associated with the machine-generated data and determine an entity type for the entity identifier. The system can map the entity type to one or more content generators associated with the entity type and communicate the entity identifier to the identified content generators. The content generators can determine if they have content associated with the machine-generated data. The system can generate and display a link to the related content via a graphical user interface.

Abstract: A system can display content generated from one type of machine-generated data to a user via a graphical user interface. Based on an interaction with the machine-generated data, the system can determine an entity identifier associated with the machine-generated data and determine an entity type for the entity identifier. The system can map the entity type to one or more content generators associated with the entity type and communicate the entity identifier to the identified content generators. The content generators can determine if they have content associated with the machine-generated data. The system can generate and display a link to the related content via a graphical user interface.