Abstract: A computer-implemented method for training a neural network to predict object categories without manual annotation is provided. The method includes feeding training datasets including at least images and data annotations to an object detection neural network, converting, by a text prompter, the data annotations into natural text inputs, converting, by a text embedder, the natural text inputs into embeddings, minimizing objective functions during training to adjust parameters of the object detection neural network, and predicting, by the object detection neural network, objects within images and videos.

Abstract: A pressure regulator includes an inlet channel, an outlet channel, a bladder, a first plate, and a second plate. The bladder is connected to the outlet channel and extends alongside of the inlet channel. The first plate is disposed on one side of the inlet channel between the bladder and the inlet channel. The second plate is disposed on the other side of the bladder and is at least partially aligned with the first plate along the length of the inlet channel such that a portion of the inlet channel is disposed between the first and second plates. When the bladder is pressurized, the bladder urges the first plate toward the second plate and thereby pinches the portion of the inlet channel disposed between the first and second plates to regulate a ratio of a pressure in the outlet channel to a pressure in the inlet channel.

Abstract: A pressure regulator includes an inlet channel, an outlet channel, a bladder, a first plate, and a second plate. The bladder is connected to the outlet channel and extends alongside of the inlet channel. The first plate is disposed on one side of the inlet channel between the bladder and the inlet channel. The second plate is disposed on the other side of the bladder and is at least partially aligned with the first plate along the length of the inlet channel such that a portion of the inlet channel is disposed between the first and second plates. When the bladder is pressurized, the bladder urges the first plate toward the second plate and thereby pinches the portion of the inlet channel disposed between the first and second plates to regulate a ratio of a pressure in the outlet channel to a pressure in the inlet channel.

Abstract: Systems, methods, and non-transitory computer-readable media can determine at least one survey to be presented to users of the social networking system, wherein the survey is targeted to a number of users at each time interval. A uniform distribution of users that may be surveyed is determined, wherein users in the uniform distribution are each assigned a numerical value. A sampling window that references a numerical range that is adjusted upon completion of each time interval is determined, wherein users that have been assigned a numerical value within the numerical range are eligible for the survey.

Abstract: An multi-level privacy evaluation technology is described for increasing the performance of applications or services that experience high volumes of queries for data with privacy attributes. The multi-level privacy evaluation technology evaluates data using a subset of privacy policy rules and privacy information determined for the data at a backend server and thereby reduces the volume of data that need to be filtered at a frontend server. The multi-level privacy evaluation technology first applies an initial privacy check on a large data set at the backend to authoritatively filter out any data that a viewing user is not permitted to view or access and return as results a smaller data set that the viewing user may be permitted to view or access. A full privacy check is then performed at the frontend on the smaller data set, resulting in reduction in the overall cost of performing privacy checks and reducing latency in displaying data to the viewing user.

Abstract: Systems, methods, and non-transitory computer-readable media can determine at least one survey to be presented to users of the social networking system, wherein the survey is targeted to a number of users at each time interval. A uniform distribution of users that may be surveyed is determined, wherein users in the uniform distribution are each assigned a numerical value. A sampling window that references a numerical range that is adjusted upon completion of each time interval is determined, wherein users that have been assigned a numerical value within the numerical range are eligible for the survey.

Abstract: An multi-level privacy evaluation technology is described for increasing the performance of applications or services that experience high volumes of queries for data with privacy attributes. The multi-level privacy evaluation technology evaluates data using a subset of privacy policy rules and privacy information determined for the data at a backend server and thereby reduces the volume of data that need to be filtered at a frontend server. The multi-level privacy evaluation technology first applies an initial privacy check on a large data set at the backend to authoritatively filter out any data that a viewing user is not permitted to view or access and return as results a smaller data set that the viewing user may be permitted to view or access. A full privacy check is then performed at the frontend on the smaller data set, resulting in reduction in the overall cost of performing privacy checks and reducing latency in displaying data to the viewing user.

Abstract: The present invention comprises an axial radial catalytic reactor with a shell (as gas tight seal to maintain process gas flows within it) and a feed tube (passing from a source of process gas flow through the shell and into it do deliver feed gas to one or more levels of two annularly sequential catalyst beds), where one end of the feed tube is used as an inlet for feeding reaction mass. In one embodiment of the invention, an interior end of the feed tube is sealed.

Abstract: An multi-level privacy evaluation technology is described for increasing the performance of applications or services that experience high volumes of queries for data with privacy attributes. The multi-level privacy evaluation technology evaluates data using a subset of privacy policy rules and privacy information determined for the data at a backend server and thereby reduces the volume of data that need to be filtered at a frontend server. The multi-level privacy evaluation technology first applies an initial privacy check on a large data set at the backend to authoritatively filter out any data that a viewing user is not permitted to view or access and return as results a smaller data set that the viewing user may be permitted to view or access. A full privacy check is then performed at the frontend on the smaller data set, resulting in reduction in the overall cost of performing privacy checks and reducing latency in displaying data to the viewing user.

Abstract: The present invention comprises an axial radial catalytic reactor with a shell (as gas tight seal to maintain process gas flows within it) and a feed tube (passing from a source of process gas flow through the shell and into it do deliver feed gas to one or more levels of two annularly sequential catalyst beds), where one end of the feed tube is used as an inlet for feeding reaction mass. In one embodiment of the invention, an interior end of the feed tube is sealed.

Abstract: An multi-level privacy evaluation technology is described for increasing the performance of applications or services that experience high volumes of queries for data with privacy attributes. The multi-level privacy evaluation technology evaluates data using a subset of privacy policy rules and privacy information determined for the data at a backend server and thereby reduces the volume of data that need to be filtered at a frontend server. The multi-level privacy evaluation technology first applies an initial privacy check on a large data set at the backend to authoritatively filter out any data that a viewing user is not permitted to view or access and return as results a smaller data set that the viewing user may be permitted to view or access. A full privacy check is then performed at the frontend on the smaller data set, resulting in reduction in the overall cost of performing privacy checks and reducing latency in displaying data to the viewing user.