Abstract: A computer executed process for mimicking human dialog, referred to herein as a “humanoid” or “humanoid system,” can be configured to provision itself to provide automated customer support. The humanoid can be trained for a customer support campaign. The training can include the humanoid observing communications between a human operator and at least one customer regarding at least one customer support case in the customer support campaign. The humanoid can assess at least one confidence level of the humanoid for the customer support campaign to determine whether the humanoid is adequately trained to handle future customer support cases for the customer support campaign. The humanoid can provision itself to handle at least one future customer support case in the customer support campaign in response to determining that it is adequately trained for the customer support campaign.

Abstract: A computer executed process for mimicking human dialog, referred to herein as a “humanoid” or “humanoid system,” can be configured to provision itself to provide automated customer support. The humanoid can be trained for a customer support campaign. The training can include the humanoid observing communications between a human operator and at least one customer regarding at least one customer support case in the customer support campaign. The humanoid can assess at least one confidence level of the humanoid for the customer support campaign to determine whether the humanoid is adequately trained to handle future customer support cases for the customer support campaign. The humanoid can provision itself to handle at least one future customer support case in the customer support campaign in response to determining that it is adequately trained for the customer support campaign.

Abstract: The techniques described herein relate to a method including: providing input to a plurality of prediction models; obtaining an initial prediction from each of the plurality of prediction models; providing the input to one or more weight models; obtaining from the one or more weight models a weight for each initial prediction, wherein the weight for each initial prediction is based upon the input and behavior of each of the plurality of prediction models; and determining an output prediction from the initial predictions and the weights.

Abstract: A computer executed process for mimicking human dialog, referred to herein as a “humanoid” or “humanoid system,” can be configured to provide automated customer support. The humanoid can identify a support issue for a customer, as well as a customer support campaign corresponding to the support issue. The humanoid can identify at least one machine learning model associated with the customer support campaign and can communicate with the customer using the at least one machine learning model. The humanoid can execute a support action to resolve the support issue.

Abstract: A computer executed process for mimicking human dialog, referred to herein as a “humanoid” or “humanoid system,” can be configured to provide automated customer support. The humanoid can identify a support issue for a customer, as well as a customer support campaign corresponding to the support issue. The humanoid can identify at least one machine learning model associated with the customer support campaign and can communicate with the customer using the at least one machine learning model. The humanoid can execute a support action to resolve the support issue.

Abstract: A computer executed process for mimicking human dialog, referred to herein as a “humanoid” or “humanoid process software,” can be configured to participate in multi-parry conversations. The humanoid can monitor electronic communications in a conversation involving the humanoid and at least one other party. The humanoid can model the electronic communications by uniquely identifying each of the electronic communications as a stream of data. For example, the data can be labeled and sorted in a database and/or arranged in a nodal graph representation. The humanoid can participate in the conversation based on the modeling.

Abstract: A computer executed process for mimicking human dialog, referred to herein as a “humanoid” or “humanoid process software,” can be configured to participate in multi-party conversations. The humanoid can monitor electronic communications in a conversation involving the humanoid and at least one other party. The humanoid can model the electronic communications by uniquely identifying each of the electronic communications as a stream of data. For example, the data can be labeled and sorted in a database and/or arranged in a nodal graph representation. The humanoid can participate in the conversation based on the modeling.

Abstract: A computer executed process for mimicking human dialog, referred to herein as a “humanoid” or “humanoid system,” can be configured to provide automated customer support. The humanoid can identify a support issue for a customer, as well as a customer support campaign corresponding to the support issue. The humanoid can identify at least one machine learning model associated with the customer support campaign and can communicate with the customer using the at least one machine learning model. The humanoid can execute a support action to resolve the support issue.

Abstract: Embodiments of the present disclosure provide a system, method and framework that facilitate and simplify computing solutions requirements or description breakdown into user-driven, autonomous system of decentralized distributed intents fulfilled by shapes (software and software stack) organized and implemented as essential, minimized capabilities effortlessly extended, assembled, swapped, and re-organized; simplifying and accelerating prototyping, development, packaging, deployment, and maintenance of a solution’s lifecycle, e.g., an Artificial Intelligence system. Embodiments of the system, framework, and method provide the infrastructure for defining intents and shapes, support green computing and continuous updates, and eliminate endless incremental technology refreshes with minimum operational impact to a deployed solution. Inherent to the system, framework, method is a dramatic reduction in cybersecurity vulnerabilities and attack surfaces among other benefits.

Abstract: Embodiments of the present disclosure provide a system, method and framework that facilitate and simplify computing solutions requirements or description breakdown into user-driven, autonomous system of decentralized distributed intents fulfilled by shapes (software and software stack) organized and implemented as essential, minimized capabilities effortlessly extended, assembled, swapped, and re-organized; simplifying and accelerating prototyping, development, packaging, deployment, and maintenance of a solution's lifecycle, e.g., an Artificial Intelligence system. Embodiments of the system, framework, and method provide the infrastructure for defining intents and shapes, support green computing and continuous updates, and eliminate endless incremental technology refreshes with minimum operational impact to a deployed solution. Inherent to the system, framework, method is a dramatic reduction in cybersecurity vulnerabilities and attack surfaces among other benefits.

Abstract: A computer executed process for mimicking human dialog, referred to herein as a “humanoid” or “humanoid system,” can be configured to provision itself to provide automated customer support. The humanoid can be trained for a customer support campaign. The training can include the humanoid observing communications between a human operator and at least one customer regarding at least one customer support case in the customer support campaign. The humanoid can assess at least one confidence level of the humanoid for the customer support campaign to determine whether the humanoid is adequately trained to handle future customer support cases for the customer support campaign. The humanoid can provision itself to handle at least one future customer support case in the customer support campaign in response to determining that it is adequately trained for the customer support campaign.

Abstract: An oilfield band cutter is useful for removing a band from a tubing string structure as the tubing string structure is being pulled up from the well. The oilfield band cutter includes a base frame with a central hole, an axis extending vertically and centrally through the frame coaxial with the central hole. A tubing follower member is coupled to the base frame and is positioned against an outer surface of the tubing string structure. A cutter is coupled to the tubing follower member, the cutter including an underside having a cutting edge. The cutting edge is positioned to engage against and cut bands on the tubing string structure.

Abstract: The present disclosure relates to devices and methods for neutralizing an acidic anesthesia solution. An anesthesia neutralization device includes an outer housing and an inner housing. The inner housing holds a buffer carpule and an anesthetic carpule in a side by side arrangement, with the buffer solution maintained under pressure prior to deployment. A curved transfer needle is coupled to the outer housing and includes ends that both point respectively toward the buffer carpule and anesthetic carpule. The device is actuated by moving the inner housing relative to the outer housing to bring the anesthesia carpule and buffer carpule into contact with the transfer needle and to force buffer solution through the transfer needle and into the anesthesia carpule.

Abstract: Consumption-based licensing of network features based on blockchained transactions includes receiving, at a server having connectivity to a network including a plurality of network devices, a request from a particular network device of the plurality of network devices for a feature that is licensed in the network on a per-use basis. Feature-specific key blockchain elements and a feature-specific template are generated for the feature and at least one message that includes the feature-specific key blockchain elements and the feature-specific template is sent to the particular network device. The message enables the plurality of network devices to generate one or more blockchain transactions related to consumption of the feature when a usage interval associated with the feature expires.

Abstract: The present disclosure relates to devices and methods for neutralizing an acidic anesthesia solution. An anesthesia neutralization device includes an outer housing and an inner housing. The inner housing holds a buffer carpule and an anesthetic carpule in a side by side arrangement, with the buffer solution maintained under pressure prior to deployment. A curved transfer needle is coupled to the outer housing and includes ends that both point respectively toward the buffer carpule and anesthetic carpule. The device is actuated by moving the inner housing relative to the outer housing to bring the anesthesia carpule and buffer carpule into contact with the transfer needle and to force buffer solution through the transfer needle and into the anesthesia carpule.

Abstract: Consumption-based licensing of network features based on blockchained transactions includes receiving, at a server having connectivity to a network including a plurality of network devices, a request from a particular network device of the plurality of network devices for a feature that is licensed in the network on a per-use basis. Feature-specific key blockchain elements and a feature-specific template are generated for the feature and at least one message that includes the feature-specific key blockchain elements and the feature-specific template is sent to the particular network device. The message enables the plurality of network devices to generate one or more blockchain transactions related to consumption of the feature when a usage interval associated with the feature expires.

Abstract: The claimed subject matter provides a protection system for cargo on a portable platform. The protection system includes a corner protection member and/or a side protection member, wherein at least one opening is on the corner protection member and at least one opening is on the side protection member. The corner protection member contacts a corner of a portable platform and the side protection member contacts a side of a portable platform. A strap can lace into at least one of the opening on the corner protection member and/or the side protection member to bear force from such strap.

Abstract: A method is described for grinding a crankpin of a crankshaft using computer controlled wheelfeed and headstock drives (44,30,24). During a final grinding step leading to finish size the cutting force is maintained on the wheelhead (38) to keep the wheel (34) and pin under a moderate constant load and the rotational speed of the headstock drive (24) is reduced. This serves to prevent bounce and chatter marks appearing in the surface of the pin. The rotational speed is typically in the range of 1 to 5 rpm. During the final step of grinding each pin, the wheelfeed is adjusted so as to remove a sufficient depth of material during a single rotation of the crankshaft, to bring the crankpin to finish size.

Abstract: Distributed computing may be achieved through a network protocol, such as Hypertext Transfer Protocol (HTTP), commonly referred to as “the web.” The server for the distributed computer is a server-side program/script that creates client-side programs/scripts that are attached to the data requested by a client. The server also listens for responses, such as HTTP requests from the clients. The client-side programs/scripts perform parts of the overall calculation and respond to the server only if necessary. With enough traffic to a server that implements this system, the computing power of a supercomputer may easily be matched.