Abstract: A valved manifold module is disclosed, constructed and arranged to be readily connected in a chain with similar modules to form a manifold assembly. The modular manifolds allows for expansion or modification of the manifold assembly to control a group of pneumatically or hydraulically driven pumps, valves or combinations thereof in a liquid flow control apparatus. The valved manifold module can be configured to accept a group of four substantially identical valve assemblies, and can be controlled by a local controller mounted to the manifold module, thus forming an independently programmable valved manifold module. The resulting modular system is expandable to allow for coordinated operations of a liquid flow control system, using substantially independent controller functions originating at the manifold assembly level.

Abstract: An incident clustering system for detecting clusters among incident reports can include a data intake module configured to receive incident text strings associated with respective incident reports input by a user, a pre-processing module operatively connected to the data intake module to receive the incident text strings from the data intake module and to pre-process the incident text strings to output pre-processed text strings associated with the respective incident reports, and a token module operatively connected to the pre-processing module to receive the pre-processed text strings. The token module can be configured to identify one or more phrases-of-interest having a plurality of words in the pre-processed text strings and concatenate the plurality of words of each of one or more phrases-of-interest to output concatenated tokens associated with the respective incident reports.

Abstract: A computer-implemented method and system for determining a probability of incident occurrence resulting from one or more changes to one or more computer networked applications. A machine learning (ML) model is trained to identify probability of likelihood of one or more incidents from occurring to one or more computer applications attributable to one or more changes to the one or more computer applications. Information is received corresponding to at least one application change attribute, which is then analyzed by the trained ML model to identify one or more incident occurrence indicators applicable to the at least one application change attribute. A probability of one or more incidents occurring is then determined corresponding to the at least one application change attribute.

Abstract: A surface of an integrated circuit (IC) die structure and a substrate to which the IC die structure is to be bonded include biphilic regions suitable for liquid droplet formation and droplet-based fine alignment of the IC die structure to the substrate. To ensure warpage of the IC die structure does not interfere with droplet-based fine alignment process, an IC die structure of greater thickness is aligned to the substrate and thickness of the IC die structure subsequently reduced. In some embodiments, a back side of the IC die structure is polished back post attachment. In some alternative embodiments, the IC die structure includes sacrificial die-level carrier is removed after fine alignment and/or bonding.

Abstract: Hybrid bonded die stacks, related apparatuses, systems, and methods of fabrication are disclosed. An integrated circuit (IC) die backside surface and a surface of a structural substrate each include bonding regions surrounded by hydrophobic structures. A liquid droplet is applied to the die or structural substrate bonding region and the die is placed on the bonding region of the structural substrate. Capillary forces cause the die to self-align to the bonding region, and a bond is formed by evaporating the liquid and subsequent anneal. A hybrid bond is then formed between the opposing active surface of the die and a base substrate using wafer-to-wafer bonding. IC structures including the IC die and portions of the structural substrate and base substrate are segmented from the bonded wafers and assembled.

Abstract: Hybrid bonded multi-level die stacks, related apparatuses, systems, and methods of fabrication are disclosed. First-level integrated circuit (IC) dies and a base substrate each include hybrid bonding regions surrounded by hydrophobic structures. The hybrid bonding regions are brought together with a liquid droplet therebetween, and capillary forces cause the IC die to self-align. A hybrid bond is formed by evaporating the droplet followed by anneal. Hybrid bonding regions of second-level IC dies are similarly bonded to hybrid bonding regions on backsides of the first-level IC dies. This is repeated for any number of subsequent levels of IC dies. IC structures including the bonded IC dies and portions of the base substrate are segmented and assembled.

Abstract: Hybrid bonded die stacks, related apparatuses, systems, and methods of fabrication are disclosed. One or both of an integrated circuit (IC) die hybrid bonding region and a base substrate hybrid bonding region are surrounded by superhydrophobic structures that have a contact angle not less than 150 degrees. The hybrid bonding regions are brought together with a liquid droplet therebetween, and capillary forces cause the IC die to self-align. The liquid droplet is pinned to the hybrid bonding regions by the superhydrophobic structures. A hybrid bond is formed by evaporating the droplet and a subsequent anneal.

Abstract: A computer implemented method and system for detecting one or more anomaly conditions in one or more computer devices. A Machine Learning (ML) model is trained for each of the one or more computer devices to determine threshold operating values for time-based metric data associated with each of the one or more computer devices. Utilizing the trained ML model, time-based metric data is compared for each of the one or more computer devices to the determined threshold operating values to determine if the time-based metric data falls outside of the determined threshold operating values. Provided is notification of an anomaly condition for a computer device responsive to determining the time-based metric data falls outside of the determined threshold operating values associated with the computer device.

Abstract: A system and method for monitoring the health and injury risk of players of a sport, particularly where physical contact occurs, using image and sensor data from sensors worn by the players. An injury risk score may be determined for each of the camera data and the sensor data. The data is then correlated to determine a risk score that may comprise a likelihood of the player having sustained an injury or the player's susceptibility to sustaining a future injury.

Abstract: A system and method for monitoring the health and injury risk of players of a sport, using image and sensor data from sensors worn by the players. An injury risk score may be determined for each of the camera data and the sensor data. The data is then correlated to determine a risk score that may comprise a likelihood of the player having sustained an injury or the player's susceptibility to sustaining a future injury.

Abstract: A waste receptacle includes a housing defining a rim, the rim defining a rim opening configured to receive a liner. The waste receptacle may include a plurality of retention tabs extending from the rim. At least one retention tab of the plurality of retention tabs extends outward relative to the rim opening. The waste receptacle may include a lid, a lift-rod, a pedal operatively coupled to the lift-rod, and a locking tab configured to lock or unlock the lift-rod. The waste receptacle may include a foldable pedal being foldable about a fold axis between a pedal-extended configuration and a pedal-folded configuration. The waste receptacle may include a plurality of dampening feet.

Abstract: Aspects described herein may relate to cyber threat detection based on threat context and/or threat changes. Cyber threat intelligence (CTI) data may be received from a CTI provider. Endpoint data that indicates evidence that endpoints are cyber threats may be determined based on the CTI data. The endpoint data may be analyzed and/or compared to stored data associated with the endpoint. The analysis and/or comparison may be performed to determine whether evidence that the endpoint is a cyber threat has changed. Based on any changes, dispositions for the endpoint may be determined and sent. The dispositions may change how devices filter network traffic associated with the endpoint. Alternatives to default dispositions may be determined based on a impact of blocking potentially legitimate network traffic to and/or from the endpoints. Machine-learning models may assist in processing and analyzing CTI data, performing threat monitoring, and/or determining feeds that include the dispositions.

Abstract: A method of encouraging a user to increase their wager on a play by play wagering platform by determining the likelihood the user will increase their wager based upon their wager history and proposing an increase amount based upon their likelihood of increasing their wager such that a higher likelihood of increase results in a higher proposed increase amount and a lower likelihood results in a lower proposed increase amount.

Abstract: Heat resistant and/or nonstick polymer materials and composites, and cookware including a food support surface comprising an integrated or attached cooking surface formed of the materials and composites. The cookware can includes a melt-processible fluoropolymer surface or insert. The cookware can further include a laminate material with structural rigidity, wherein the laminate material includes a flexible substrate impregnated with the heat resistant polymer material, coated with a nonstick coating, and pressed or molded in a shaped cookware or other nonstick items or component. Various cooking devices can be pressed from the material, as well as oven or vehicle components.

Abstract: Aspects described herein may relate to cyber threat detection based on threat context and/or threat changes. Cyber threat intelligence (CTI) data may be received from a CTI provider. Endpoint data that indicates evidence that endpoints are cyber threats may be determined based on the CTI data. The endpoint data may be analyzed and/or compared to stored data associated with the endpoint. The analysis and/or comparison may be performed to determine whether evidence that the endpoint is a cyber threat has changed. Based on any changes, dispositions for the endpoint may be determined and sent. The dispositions may change how devices filter network traffic associated with the endpoint. Alternatives to default dispositions may be determined based on a impact of blocking potentially legitimate network traffic to and/or from the endpoints. Machine-learning models may assist in processing and analyzing CTI data, performing threat monitoring, and/or determining feeds that include the dispositions.

Abstract: Various embodiments set forth systems and techniques for evaluating media content items. The techniques include receiving visual feedback associated with one or more audience members viewing a first media content item; analyzing the visual feedback to generate one or more emotion signals based on the visual feedback; and generating a set of features associated with the one or more audience members viewing the first media content item based on the one or more emotion signals.

Abstract: In some implementations, a device may identify respective sets of unique values for multiple dimensions of a multidimensional data structure. The device may identify a plurality of subsets of permutations of a set of permutations of the unique values. The plurality of subsets of permutations are to be processed in parallel. The device may obtain, based on processing the plurality of subsets of permutations in parallel, respective data associated with each permutation of the plurality of subsets of permutations. The data for a permutation, of the plurality of subsets of permutations, is obtained based on respective unique values for the permutation that are determined independently of another permutation of the plurality of subsets of permutations.

Abstract: Heat resistant and/or nonstick polymer materials and composites, and cookware including a food support surface comprising an integrated or attached cooking surface formed of the materials and composites. The cookware can includes a melt-processible fluoropolymer surface or insert. The cookware can further include a laminate material with structural rigidity, wherein the laminate material includes a flexible substrate impregnated with the heat resistant polymer material, coated with a nonstick coating, and pressed or molded in a shaped cookware or other nonstick items or component. Various cooking devices can be pressed from the material, as well as oven or vehicle components.

Abstract: A video-based food safety compliance system for use in a food area of a building includes a video camera having a field of view that encompasses at least part of the food area, a user interface and a controller that is operably coupled to the video camera and to the user interface. The controller is configured to receive video from the video camera and to analyze the video to determine when one or more food safety compliance rules are violated. The controller outputs an alert in response to determining that one or more of the food safety compliance rules have been violated.

Abstract: Data regarding a subject is received over a communication network. The data is parsed to extract data elements that are associated with various aspects of the subject. A plurality of sub-scores is calculated based on the values associated with the data elements. A combined score is calculated based on the plurality of sub-scores and weights corresponding to the plurality of sub-scores. An indication of the combined score associated with the subject is output.