Abstract: A method for facilitating a remote conference includes receiving a digital video and a computer-readable audio signal. A face recognition machine is operated to recognize a face of a first conference participant in the digital video, and a speech recognition machine is operated to translate the computer-readable audio signal into a first text. An attribution machine attributes the text to the first conference participant. A second computer-readable audio signal is processed similarly, to obtain a second text attributed to a second conference participant. A transcription machine automatically creates a transcript including the first text attributed to the first conference participant and the second text attributed to the second conference participant.

Abstract: A method for facilitating a remote conference includes receiving a digital video and a computer-readable audio signal. A face recognition machine is operated to recognize a face of a first conference participant in the digital video, and a speech recognition machine is operated to translate the computer-readable audio signal into a first text. An attribution machine attributes the text to the first conference participant. A second computer-readable audio signal is processed similarly, to obtain a second text attributed to a second conference participant. A transcription machine automatically creates a transcript including the first text attributed to the first conference participant and the second text attributed to the second conference participant.

Abstract: Attributes of electronic content from a meeting are identified and evaluated to determine whether sub-portions of the electronic content should or should not be attributed to a user profile. Upon determining that the sub-portion should be attributed to a user profile, attributes of the sub-portion of electronic content are compared to attributes of stored user profiles. A probability that the sub-portion corresponds to at least one stored user profile is calculated. Based on the calculated probability, the sub-portion is attributed to a stored user profile or a guest user profile.

Abstract: The present disclosure a leak-proof lost-circulation control water-based drilling fluid composition and preparation method and use thereof.

Abstract: An oil-based drilling fluid composition, includes a base fluid and a treating agent. The base fluid comprises a base oil and an inhibitor; the treating agent comprises an organic soil, a main emulsifier, an auxiliary emulsifier, a plugging agent, a weighting agent, a humectant, an alkaline regulator and a filtrate reducer. 5-25 parts by weight of the inhibitor, 5-12 parts by weight of the organic soil, 1-6 parts by weight of the main emulsifier, 2-8 parts by weight of the auxiliary emulsifier, 3-18 parts by weight of the plugging agent, 5-30 parts by weight of the weighting agent, 2-6 parts by weight of the humectant, 2-7 parts by weight of the alkaline regulator and 2-10 parts by weight of the filtrate reducer are used, based on 100 parts by weight of base oil.

Abstract: The present disclosure a pressure-bearing plugging agent, comprises a core, a first coating layer and a second coating layer which are sequentially coated on an outer surface of the core, wherein the core is made of a water-absorbing swellable material, the first coating layer is a paraffin layer, and the second coating layer is obtained by cementing the rigid particles with an adhesive.

Abstract: The present disclosure discloses an oil-based drilling fluid composition, including a base fluid and a treating agent, wherein the base fluid comprises a base oil and an inhibitor; the treating agent comprises an organic soil, a main emulsifier, an auxiliary emulsifier, a plugging agent, a weighting agent, a humectant, an alkaline regulator and a filtrate reducer; wherein 5-25 parts by weight of the inhibitor, 5-12 parts by weight of the organic soil, 1-6 parts by weight of the main emulsifier, 2-8 parts by weight of the auxiliary emulsifier, 3-18 parts by weight of the plugging agent, 5-30 parts by weight of the weighting agent, 2-6 parts by weight of the humectant, 2-7 parts by weight of the alkaline regulator and 2-10 parts by weight of the filtrate reducer are used, based on 100 parts by weight of base oil.

Abstract: The present disclosure a pressure-bearing plugging agent, comprises a core, a first coating layer and a second coating layer which are sequentially coated on an outer surface of the core, wherein the core is made of a water-absorbing swellable material, the first coating layer is a paraffin layer, and the second coating layer is obtained by cementing the rigid particles with an adhesive.

Abstract: The present discloses a pressure-bearing plugging composition comprising 1-7 parts by weight bentonite, 0.1-1.5 parts by weight deformation material, 8-18 parts by weight filling material and 4-12 parts by weight modified bridging material, based on 100 parts by weight of water; the modified bridging material comprises a core, and a coating layer coated on an outer surface of the core, and a paraffin layer disposed between the core and the coating layer; the core is made of a water-absorbing material, and the coating layer is formed by bonding rigid particles and an adhesive.

Abstract: A fiber silica composite microsphere for a shale stratum comprises a hollow silica sphere and fibers, and the fibers are partially coated on an outer surface of the hollow silica sphere and partially embedded into an interior of the hollow silica sphere. The hollow silica sphere has an outer diameter of 1-5 ?m and an inner diameter of 0.8-4.7 ?m; the fibers have a length of 5-10 ?m and a width of 1-3 ?m.

Abstract: Attributes of electronic content from a meeting are identified and evaluated to determine whether sub-portions of the electronic content should or should not be attributed to a user profile. Upon determining that the sub-portion should be attributed to a user profile, attributes of the sub-portion of electronic content are compared to attributes of stored user profiles. A probability that the sub-portion corresponds to at least one stored user profile is calculated. Based on the calculated probability, the sub-portion is attributed to a stored user profile or a guest user profile.

Abstract: A method for facilitating a remote conference includes receiving a digital video and a computer-readable audio signal. A face recognition machine is operated to recognize a face of a first conference participant in the digital video, and a speech recognition machine is operated to translate the computer-readable audio signal into a first text. An attribution machine attributes the text to the first conference participant. A second computer-readable audio signal is processed similarly, to obtain a second text attributed to a second conference participant. A transcription machine automatically creates a transcript including the first text attributed to the first conference participant and the second text attributed to the second conference participant.

Abstract: A method for facilitating a remote conference includes receiving a digital video and a computer-readable audio signal. A face recognition machine is operated to recognize a face of a first conference participant in the digital video, and a speech recognition machine is operated to translate the computer-readable audio signal into a first text. An attribution machine attributes the text to the first conference participant. A second computer-readable audio signal is processed similarly, to obtain a second text attributed to a second conference participant. A transcription machine automatically creates a transcript including the first text attributed to the first conference participant and the second text attributed to the second conference participant.

Abstract: A method for facilitating a remote conference includes receiving a digital video and a computer-readable audio signal. A face recognition machine is operated to recognize a face of a first conference participant in the digital video, and a speech recognition machine is operated to translate the computer-readable audio signal into a first text. An attribution machine attributes the text to the first conference participant. A second computer-readable audio signal is processed similarly, to obtain a second text attributed to a second conference participant. A transcription machine automatically creates a transcript including the first text attributed to the first conference participant and the second text attributed to the second conference participant.

Abstract: A computerized conference assistant includes a camera and a microphone. A face location machine of the computerized conference assistant finds a physical location of a human, based on a position of a candidate face in digital video captured by the camera. A beamforming machine of the computerized conference assistant outputs a beamformed signal isolating sounds originating from the physical location of the human. A diarization machine of the computerized conference assistant attributes information encoded in the beamformed signal to the human.

Abstract: A “Natural Motion Controller” identifies various motions of one or more parts of a user's body to interact with electronic devices, thereby enabling various natural user interface (NUI) scenarios. The Natural Motion Controller constructs composite motion recognition windows by concatenating an adjustable number of sequential periods of inertial sensor data received from a plurality of separate sets of inertial sensors. Each of these separate sets of inertial sensors are coupled to, or otherwise provide sensor data relating to, a separate user worn, carried, or held mobile computing device. Each composite motion recognition window is then passed to a motion recognition model trained by one or more machine-based deep learning processes. This motion recognition model is then applied to the composite motion recognition windows to identify a sequence of one or more predefined motions. Identified motions are then used as the basis for triggering execution of one or more application commands.

Abstract: Advertisements are provided to users for an extended period of time based on a categorization of those users into one or more audiences. A user is being offered credits in exchange for the display such advertisements, which can be utilized to purchase items of value. The advertisements are selected based on which audience a user belongs to and a user is categorized as a member of one or more audiences based on a user profile that is informed by information explicitly provided by the user, information generated by the user to which the user has granted permission and contextual information, such as location. An audience taxonomy is centrally maintained and provided to enable categorization without transmitting users' information off of their computing devices. Advertisers bid on advertisements, not by bidding on keywords, but rather by bidding on the duration for which advertisements are displayed to selected audiences.

Abstract: Systems and methods for assigning a product category and/or classification to user data based on a taxonomy of makes and models is provided. User data is received and converted to plain text. A taxonomy is provided, having a plurality of categories corresponding with product descriptions based on product makes and models. Rules are associated with the categories in the taxonomy and used to generate a category score for categories in the taxonomy. The category scores are used to assign at least one category from the taxonomy to the user data. A product class may also be assigned to the user data based on the assigned product category.

Abstract: Systems and methods for assigning a product category and/or classification to user data based on a taxonomy of makes and models is provided. User data is received and converted to plain text. A taxonomy is provided, having a plurality of categories corresponding with product descriptions based on product makes and models. Rules are associated with the categories in the taxonomy and used to generate a category score for categories in the taxonomy. The category scores are used to assign at least one category from the taxonomy to the user data. A product class may also be assigned to the user data based on the assigned product category.