Abstract: Synthetic molecular tags are placed on an item at various points in a supply chain to create a molecular record of movement through the supply chain. Associations between each unique synthetic molecular tag and individual locations in the supply chain are stored in an electronic record which may be maintained in the cloud. The synthetic molecular tags are collected from the item and sequenced to determine movement of the item through the supply chain by reference to the electronic record. The synthetic molecular tags can be used for identifying recalled items based on locations in the supply chain associated with a recall. The synthetic molecular tags may be polynucleotides such as deoxyribose nucleic acid (DNA). The item may be any type of item including food.

Abstract: A system and methods for enhancing content collaboration by conflict detection and resolution. A hybrid cloud cache receives a request from a client to upload an object to the cloud. The hybrid cloud cache may perform an internal lookup to find the latest version of the object known to it. This lookup may return a local identifier or a cloud identifier. The cache may compare a client-provided identifier to the local identifier or to the cloud identifier that is mapped to the local identifier to determine if the client-provided identifier refers to the latest uploaded version of the object. The system may determine that a conflict exists if the client-provided identifier does not match either identifier. The system may generate an alternate name for the object and upload the renamed object to the cloud from the hybrid cloud cache.

Abstract: Synthetic molecular tags are placed on an item at various points in a supply chain to create a molecular record of movement through the supply chain. Associations between each unique synthetic molecular tag and individual locations in the supply chain are stored in an electronic record which may be maintained in the cloud. The synthetic molecular tags are collected from the item and sequenced to determine movement of the item through the supply chain by reference to the electronic record. The synthetic molecular tags can be used for identifying recalled items based on locations in the supply chain associated with a recall. The synthetic molecular tags may be polynucleotides such as deoxyribose nucleic acid (DNA). The item may be any type of item including food.

Abstract: The techniques disclosed herein enable systems to optimize generation and dispatch of renewable energies using data-driven models. In many contexts, a renewable energy system is collocated with a local consumer such as a datacenter, a smart building, and so forth. The objective of the renewable energy system is to meet local power needs while participating in various energy markets of differing trading frequencies. To optimally manage the renewable energy system, a data-driven model is configured to analyze current conditions and generate policies to control renewable energy system operations. For instance, the model can retrieve current market prices, generation capacity, costs associated with generating energy, and so forth. Based on the collected information, the model can generate a policy that maximizes revenue obtained by the renewable energy system while meeting local demand. Through many iterations, the model can determine a realistically optimal policy for managing the renewable energy system.

Abstract: A system and methods for enhancing content collaboration by conflict detection and resolution. A hybrid cloud cache receives a request from a client to upload an object to the cloud. The hybrid cloud cache may perform an internal lookup to find the latest version of the object known to it. This lookup may return a local identifier or a cloud identifier. The cache may compare a client-provided identifier to the local identifier or to the cloud identifier that is mapped to the local identifier to determine if the client-provided identifier refers to the latest uploaded version of the object. The system may determine that a conflict exists if the client-provided identifier does not match either identifier. The system may generate an alternate name for the object and upload the renamed object to the cloud from the hybrid cloud cache.

Abstract: The techniques disclosed herein enable systems to enable multi-market optimization of renewable energies using data-driven models. To achieve this, a model retrieves a current state from a resource generation system and associated resource markets. The model can then compute a policy based on the state as well physical and technical constraints. The policy defines various actions that direct operation of the resource generation system such as resource production and dispatch to markets. Applying the policy to the resource generation results in a modified state which the model extracts along with a measure of optimality which quantifies the success of the policy. Based on these metrics, the model can generate an updated iteration of the policy defining a different set of actions. In this way, the model can gradually develop an optimal policy for controlling the resource generation system.

Abstract: A system and methods for enhancing content collaboration by conflict detection and resolution. A hybrid cloud cache receives a request from a client to upload an object to the cloud. The hybrid cloud cache may perform an internal lookup to find the latest version of the object known to it. This lookup may return a local identifier or a cloud identifier. The cache may compare a client-provided identifier to the local identifier or to the cloud identifier that is mapped to the local identifier to determine if the client-provided identifier refers to the latest uploaded version of the object. The system may determine that a conflict exists if the client-provided identifier does not match either identifier. The system may generate an alternate name for the object and upload the renamed object to the cloud from the hybrid cloud cache.

Abstract: A system and methods for enhancing content collaboration by conflict detection and resolution. A hybrid cloud cache receives a request from a client to upload an object to the cloud. The hybrid cloud cache may perform an internal lookup to find the latest version of the object known to it. This lookup may return a local identifier or a cloud identifier. The cache may compare a client-provided identifier to the local identifier or to the cloud identifier that is mapped to the local identifier to determine if the client-provided identifier refers to the latest uploaded version of the object. The system may determine that a conflict exists if the client-provided identifier does not match either identifier. The system may generate an alternate name for the object and upload the renamed object to the cloud from the hybrid cloud cache.

Abstract: An electrical apparatus includes: a first electrically conductive contact; and a switch. The switch includes: an electrically conductive moveable contact; a cam; an actuator connected to the electrically conductive moveable contact, the actuator including a cam region configured to interact with the cam. Rotation of the cam moves the actuator between one of two stable positions, the two stable positions including a first position and a second position. The switch also includes an elastic assembly coupled to the actuator, the elastic assembly configured to hold the actuator in either of the two stable positions. When the actuator is in the first position, the switch is closed and the electrically conductive moveable contact is connected to the first electrically conductive contact; and, when the actuator is in the second position, the switch is open and the electrically conductive moveable contact is separated from the first electrically conductive contact.

Abstract: The techniques disclosed herein enable systems to optimize generation and dispatch of renewable energies using data-driven models. In many contexts, a renewable energy system is collocated with a local consumer such as a datacenter, a smart building, and so forth. The objective of the renewable energy system is to meet local power needs while participating in various energy markets of differing trading frequencies. To optimally manage the renewable energy system, a data-driven model is configured to analyze current conditions and generate policies to control renewable energy system operations. For instance, the model can retrieve current market prices, generation capacity, costs associated with generating energy, and so forth. Based on the collected information, the model can generate a policy that maximizes revenue obtained by the renewable energy system while meeting local demand. Through many iterations, the model can determine a realistically optimal policy for managing the renewable energy system.

Abstract: The techniques disclosed herein enable systems to enable multi-market optimization of renewable energies using data-driven models. To achieve this, a model retrieves a current state from a resource generation system and associated resource markets. The model can then compute a policy based on the state as well physical and technical constraints. The policy defines various actions that direct operation of the resource generation system such as resource production and dispatch to markets. Applying the policy to the resource generation results in a modified state which the model extracts along with a measure of optimality which quantifies the success of the policy. Based on these metrics, the model can generate an updated iteration of the policy defining a different set of actions. In this way, the model can gradually develop an optimal policy for controlling the resource generation system.

Abstract: Synthetic molecular tags are placed on an item at various points in a supply chain to create a molecular record of movement through the supply chain. Associations between each unique synthetic molecular tag and individual locations in the supply chain are stored in an electronic record which may be maintained in the cloud. The synthetic molecular tags are collected from the item and sequenced to determine movement of the item through the supply chain by reference to the electronic record. The synthetic molecular tags can be used for identifying recalled items based on locations in the supply chain associated with a recall. The synthetic molecular tags may be polynucleotides such as deoxyribose nucleic acid (DNA). The item may be any type of item including food.