Abstract: Techniques for anomaly detection are described. An exemplary method includes receiving one or more requests to train an anomaly detection machine learning model using feedback-based training, the request to indicate one or more of a type of analysis to perform, a model selection indication, and a configuration for a training dataset; training the anomaly detection machine learning model according to the one or more requests using the training data; performing feedback-based training on the trained anomaly detection machine learning model; and using the retrained anomaly detection machine learning model.

Abstract: A method for forming a semiconductor assembly that includes forming a first set of layers on a first wafer, where one or more layers of the first set includes one or more devices of the semiconductor assembly. The method further includes forming a second set of layers on a second wafer, where one or more layers of the second set include connections between one or more of the devices of the semiconductor assembly. The method additionally includes coupling a layer of the first set to a layer of the second set using metal to metal hybrid bonding.

Abstract: A semiconductor package includes a first die, a second die, and an interconnect die coupled to a first plurality of through-die vias in the first die and a second plurality of through-die vias in the second die. The interconnect die provides communications pathways the first die and the second die.

Abstract: A semiconductor package assembly includes a die having a front surface and a back surface opposite to and parallel to the front surface. A first portion of a front surface of an interconnect die is coupled to a portion of the back surface of the die. The interconnect die includes a connectivity region that is coupled to one or more through-die vias in the die through the back surface of the die. A spacer component is coupled to a second portion of the front surface of the interconnect die. The spacer component includes conductive connections, with one or more of the conductive connections are coupled to the conductive pathways of the connectivity region of the interconnect die.

Abstract: A semiconductor device includes a first die, the first die including a first dielectric layer and a plurality of first bond pads formed within apertures in the first dielectric layer, and a second die bonded to the first die, the second die including a second dielectric layer and a plurality of second bond pads protruding from the second dielectric layer. The first die is bonded to the second die such that the plurality of second bond pads protrude into the apertures in the first dielectric layer to establish respective metallurgical bonds with the plurality of first bond pads. A reduction in the distance between the respective bond pads of the dies results in a lower temperature for establishing a hybrid bond.

Abstract: Aspects of the present disclosure relate to systems and methods for injection and retraction of a fluid. The system includes a switch configured to be activated, wherein activation of the switch activates an electrical control system. The system further includes a linear actuator that interfaces with the electrical control system. The electrical control system causes the linear actuator to depress a plunger, keep the plunger depressed for a predetermined time, and retract the plunger after the predetermined time. The system further includes a fluid reservoir engageable with the plunger, wherein the depression of the plunger causes fluid to be injected from the fluid reservoir into a connector and the retraction of the plunger causes fluid to be retracted into the fluid reservoir and out of the connector.

Abstract: Described herein are methods, systems, and computer-readable storage media for automatic and efficient updating of databases and database schemas. Techniques include generating an identification of a task of an application associated with a database through a machine learning process for monitoring database activity. Further, patterns of the application's access to data stored in the database may be observed and provided along with the identified task to a feedback loop to identify changes in the application's access to data in a database. Techniques further include automatically updating a schema of the database based on the identified changes in the application's access to data stored in the database.

Abstract: A modular mask including a first module including a frame having two or more openings, and an attaching mechanism lining one or more edges of the two or more openings; and a second module including: a mask body having a first attaching element allowing the attaching mechanism to temporarily hold the mask body in place completely covering a first opening of the two or more openings, and a filter component having a second attaching element allowing the attaching mechanism to temporarily hold the filter component in place completely covering a second opening of the two or more openings.

Abstract: Described herein are methods, systems, and computer-readable storage media for automatic and efficient updating of databases and database schemas. Techniques include generating an identification of a task of an application associated with a database through a machine learning process for monitoring database activity. Further, patterns of the application's access to data stored in the database may be observed and provided along with the identified task to a feedback loop to identify changes in the application's access to data in a database. Techniques further include automatically updating a schema of the database based on the identified changes in the application's access to data stored in the database.

Abstract: A method for generating synthetic data records which include datasets that capture state-based transitions, according to which a state transition family is randomly selecting, according to the distribution of samples between the different clusters of users and the context variables are randomly sampled according to their distribution within the chosen cluster. The relevant Markov Chains models are selected according to the sampled context and the initial state of the sequence is randomly selected according to the distribution of states. A random walk process is initialized on the graph models and the random walk is performed process on each context separately, assuming context independency. The cause condition of the current transition is sampled for each state transition, based on the distributions on the selected edge.

Abstract: A method for generating a training model for fabricating synthetic data includes: a) providing training data comprising information on a plurality of objects, the training data further comprising information on a plurality of states and state transitions of at least one object of the plurality of objects, the state transitions of the at least one object being chronologically ordered into a plurality of sessions; b) clustering a plurality of states and/or a plurality of state clusters into a plurality of state transition clusters; c) clustering sessions of respective state transitions clusters into a plurality of session clusters; d) modeling each session cluster using a stochastic process; and e) training a probabilistic model using information on a respective object, the session clusters corresponding to the respective object, start times of sessions corresponding to respective session clusters, end times of sessions corresponding to, and delays between, the respective session clusters.

Abstract: A method for generating synthetic data records which include datasets that capture state-based transitions, according to which a state transition family is randomly selecting, according to the distribution of samples between the different clusters of users and the context variables are randomly sampled according to their distribution within the chosen cluster. The relevant Markov Chains models are selected according to the sampled context and the initial state of the sequence is randomly selected according to the distribution of states. A random walk process is initialized on the graph models and the random walk is performed process on each context separately, assuming context independency. The cause condition of the current transition is sampled for each state transition, based on the distributions on the selected edge.

Abstract: An algorithm is provided for reducing distortion in an image captured by a camera or other imaging system having more than one optical viewpoint. The algorithm can use a captured image, statistical information regarding the depths of scene objects, and information regarding the geometrical characteristics of the imaging system to generate an approximation of a perspective projection representing the scene. The virtual viewpoint of the approximate perspective projection is selected so as to reduce distortion. The resulting image has less distortion than that of an image generated under an assumption that scene objects are infinitely distant. In addition, the parameters of any distortion reducing function can be optimized by minimizing an objective function representing the amount of image distortion.

Abstract: An algorithm is provided for reducing distortion in an image captured by a camera or other imaging system having more than one optical viewpoint. The algorithm can use a captured image, statistical information regarding the depths of scene objects, and information regarding the geometrical characteristics of the imaging system to generate an approximation of a perspective projection representing the scene. The virtual viewpoint of the approximate perspective projection is selected so as to reduce distortion. The resulting image has less distortion than that of an image generated under an assumption that scene objects are infinitely distant. In addition, the parameters of any distortion reducing function can be optimized by minimizing an objective function representing the amount of image distortion.

Abstract: A surveillance and monitoring system and method for monitoring an area which includes a first imaging system having a wide-angle field of view approximately equal to or greater than the area. The system also includes one or more second imaging systems having adjustable view settings, each of one or more second imaging systems being positioned to view portions of the area and being capable of producing images of the portions with a resolution greater than the first imaging system. The system also includes one or more controls for controlling the adjustable view settings of the one or more second imaging systems so as to obtain high-resolution, magnified images of regions of interest within the area being monitored. The adjustable view settings may include pan, tilt, and zoom settings for adjusting the panning, tilting, and zooming of one or more second imaging systems with respect to the monitored area.