Abstract: Described herein are compositions, devices, and methods for improving a surface property of a substrate. In some embodiments, the hydrophobicity and/or fluorocarbon-phobicity of the surface is increased. Some embodiments include compositions, devices and methods for improving bead loading and/or immiscible oil sealing of microwell array reactions on plastic microfluidic devices.

Abstract: A hybrid firmware-first/operating-system-first error handling system includes a Basic Input/Output System (BIOS) subsystem coupled to a processing system. The BIOS subsystem begins an initialization process for a computing device and, in response, configures the processing system to perform processing system firmware-first error handling operations and, for any errors that are detected during at least a portion of the initialization process, performs BIOS firmware-first error handling operations.

Abstract: An operating-system-first error handling system includes an operating system subsystem coupled to a BMC device including a shared memory subsystem, and to a reserved memory subsystem storing error handling information that is configured to direct the storage of error information in the shared memory subsystem in the BMC device. The operating system subsystem identifies a first error and generates first error information for the first error. The operating system subsystem then accesses the error handling information and, based on the error handling information, stores the first error information generated for the first error in the shared memory subsystem included in the BMC device. The operating system subsystem then notifies the BMC device of the first error information stored in the shared memory subsystem. The BMC device may then access the first error information in the shared memory subsystem and transmit the first error information to a computing device management system.

Abstract: Methods, apparatus, and processor-readable storage media for automatically summarizing event-related data using artificial intelligence techniques are provided herein. An example computer-implemented method includes obtaining text-based data and non-text-based data associated with at least one virtual event comprising one or more participants; generating a content-related summarization of one or more of at least a portion of the text-based data and at least a portion of the non-text-based data using at least a first set of one or more artificial intelligence techniques; generating a participant sentiment-related summarization associated with one or more of at least a portion of the text-based data and at least a portion of the non-text-based data using at least a second set of one or more artificial intelligence techniques; and performing one or more automated actions based at least in part on one or more of the content-related summarization and the participant sentiment-related summarization.

Abstract: Described herein are compositions, devices, and methods for improving a surface property of a substrate. In some embodiments, the hydrophobicity and/or fluorocarbon-phobicity of the surface is increased. Some embodiments include compositions, devices and methods for improving bead loading and/or immiscible oil sealing of microwell array reactions on plastic microfluidic devices.

Abstract: Decoding methods are provided for identifying populations in assays, particularly multiplexing assays and those associated with fluidic devices.

Abstract: A microfluidic device includes a plurality of reaction wells; and a plurality of solid supports, and each of the solid supports has a reagent attached thereto. The reagent is attached to the solid support via a labile reagent/support bond such that the reagent is configured to be cleaved from the support via a cleaving operation.

Abstract: Analysis systems with a housing having a chamber sized and configured to receive at least one microfluidic device. The systems also include an optic system coupled to the housing in optical communication with the at least one microfluidic device, a controller coupled to the optic system, a heat source coupled to the optic system and thermally coupled to the at least one microfluidic device held in the housing, and a sub-array selection module in communication with the controller. The sub-array selection module is configured to select a sub-set of sets of microwells of at least one fluid channel of the microfluidic device for imaging by the optic system after a reaction step (e.g., one thermocycle) during an assay.

Abstract: Decoding methods are provided for identifying populations in assays, particularly multiplexing assays and those associated with fluidic devices.

Abstract: In one aspect, an example methodology implementing the disclosed techniques includes receiving information regarding a customer to onboard to a managed service and determining one or more relevant features from the information regarding the customer, the one or more relevant features correlated with historical onboarding times. The method also includes determining, using a machine learning (ML) model, an expected time to onboard the customer to the managed service based on the one or more relevant features.

Abstract: An apparatus comprises a processing device configured to obtain a first data structure characterizing a description of a given meeting, to perform natural language processing of the first data structure utilizing a first machine learning model to identify topics for the given meeting, to obtain a second data structure characterizing potential invitees for the given meeting, and to create a third data structure characterizing the identified topics of the given meeting and a given potential invitee for the given meeting. The processing device is also configured to process the third data structure utilizing a second machine learning model to generate a prediction as to a likelihood of the given potential invitee attending the given meeting, and to generate an invitation to the given meeting for the given potential invitee based at least in part on the prediction of the likelihood of the given potential invitee attending the given meeting.

Abstract: An apparatus comprises a processing device configured to identify and parse a video tag associated with a video to determine configuration parameters for a video segment to be generated from the video, the determined configuration parameters comprising a specification of a time range for the video segment and an intended recipient thereof. The processing device is also configured to generate the video segment in accordance with the determined configuration parameters, and to select one or more digital communication formats for sending the generated video segment to the intended recipient, the one or more digital communication formats being selected based at least in part on at least one of (i) one or more user preferences associated with the intended recipient and (ii) the determined configuration parameters. The processing device is further configured to send the generated video segment to the intended recipient via the selected one or more digital communication formats.

Abstract: Analysis systems with a housing having a chamber sized and configured to receive at least one microfluidic device. The systems also include an optic system coupled to the housing in optical communication with the at least one microfluidic device, a controller coupled to the optic system, a heat source coupled to the optic system and thermally coupled to the at least one microfluidic device held in the housing, and a sub-array selection module in communication with the controller. The sub-array selection module is configured to select a sub-set of sets of microwells of at least one fluid channel of the microfluidic device for imaging by the optic system after a reaction step (e.g., one thermocycle) during an assay.

Abstract: A microfluidic device includes a plurality of reaction wells; and a plurality of solid supports, and each of the solid supports has a reagent attached thereto. The reagent is attached to the solid support via a labile reagent/support bond such that the reagent is configured to be cleaved from the support via a cleaving operation.

Abstract: A miniature electrode apparatus is disclosed for trapping charged particles, the apparatus includes, along a longitudinal direction, a first end cap electrode, a central electrode having an aperture, and a second end cap electrode. The aperture is elongated in the lateral plane and extends through the central electrode along the longitudinal direction and the central electrode surrounds the aperture in a lateral plane perpendicular to the longitudinal direction to define a transverse cavity for trapping charged particles. Electric fields can be applied in a y-direction of the lateral plane across one or more planes perpendicular to the longitudinal axis to translocate and/or manipulate ion trajectories.

Abstract: A tracking system is used to determine geoposition of an object, such as a person, using images from a 2-D camera, in which pixels in the 2-D image have been assigned a 3-D position by pairing the camera image with a spatial model. A spatial model can be provided by a suitable 3-D imaging device, such as but not limited to a LiDAR system, though other types of spatial imagers are contemplated. The tracking system can use geoposition data to aid in reidentification of a person across multiple cameras, as well as determine behavior of people that are being tracked.

Abstract: Methods, apparatus, and processor-readable storage media for automatically summarizing event-related data using artificial intelligence techniques are provided herein. An example computer-implemented method includes obtaining text-based data and non-text-based data associated with at least one virtual event comprising one or more participants; generating a content-related summarization of one or more of at least a portion of the text-based data and at least a portion of the non-text-based data using at least a first set of one or more artificial intelligence techniques; generating a participant sentiment-related summarization associated with one or more of at least a portion of the text-based data and at least a portion of the non-text-based data using at least a second set of one or more artificial intelligence techniques; and performing one or more automated actions based at least in part on one or more of the content-related summarization and the participant sentiment-related summarization.

Abstract: A fluidic device includes a plurality of reaction wells, typically in a dense array, with at least one bead retention segment in fluid communication with and spatially separated from at least one signal detection segment. A respective bead retention segment can be configured to hold a single bead, which can have a reagent attached thereto.

Abstract: In one aspect, an example methodology implementing the disclosed techniques includes, by a virtual event assistant, joining an online meeting and receiving a content of the online meeting in real-time, the content including an audio stream and a video stream of the online meeting. The method also includes, by the virtual event assistant, generating a summarized content of the online meeting based on a transcript of the online meeting, wherein generating the summarized content includes applying one or more artificial intelligence (AI)-based techniques to the transcript of the online meeting. The method further includes, by the virtual meeting assistant, determining contextual metadata of the online meeting based on analysis of the content of the online meeting. The method may also include providing the summarized content with the contextual metadata of the online meeting for playback by a user, for example.

Abstract: In one aspect, an example methodology implementing the disclosed techniques includes receiving information regarding a customer to onboard to a managed service and determining one or more relevant features from the information regarding the customer, the one or more relevant features correlated with historical onboarding times. The method also includes determining, using a machine learning (ML) model, an expected time to onboard the customer to the managed service based on the one or more relevant features.