Abstract: Devices and techniques are generally described for sending a first instruction for a device to output first content while the speech-processing device is in an ambient state during a first time period. First feedback data is received indicating that a first action associated with the first content was requested at a first time. A determination is made that the first time is during the first time period. Timing data related to a current time of the device is determined. Second content is determined based at least in part on the first action being requested during the first time period and the timing data. A second instruction is sent effective to cause the device to output second content while in the ambient state during a second time period.

Abstract: A compute server of a distributed cloud computing network receives an inference request. The inference request triggers execution of code that is related to an AI application that interacts with the inference request and causes its input to be run through an AI model. Helper code executing on the compute server transmits an inference request to the AI model, where this inference request includes a prompt and one or more function definitions, and where the AI model is executing in the same datacenter as the compute server. The helper code receives a result of the AI model executing the inference request, where it includes structured data for calling a function. The helper code calls the function using the structured data. The helper code receives a response to the called function. The code processes a response to the inference request based at least on the received response to the called function.

Abstract: A tile saw includes a saw with a cutting blade, a frame supporting the saw, a table supporting a workpiece and being slidable relative to the frame, and a rear fence secured to the table. The rear fence has an engagement surface and is adjustable between an operating position and a bypassed position. The bypassed position includes the engagement surface of the fence being no higher than even with the planar surface of the table to allow a workpiece to extend beyond a rear edge of the table. In the operating position, the engagement surface of the rear fence projects axially from the planar surface of the table to support the workpiece as the workpiece is pushed into the cutting blade during operation. The fence can be adjusted between the operating and bypassed positions by using any one of a cam lever clamp, pin and guideway, or rotatable latch.

Abstract: A multi-tenant, cloud-based Software-as-a-Service (SaaS) manufacturing cloud system offers a variety of industrial applications to end customers, including but not limited to MES, ERP, quality management, supply chain management, and customer relationship management (CRM). The system includes extensibility tools that allows industrial customers to customize databases, data collection templates, reporting fields, and other features of their consumed services, eliminating the need for these features to be customized by an administrator of the cloud system. Some embodiments of the manufacturing cloud system can also leverage generative artificial intelligence (AI) in connection with executing its supported services.

Abstract: A multi-tenant, cloud-based Software-as-a-Service (SaaS) manufacturing cloud system offers a variety of industrial applications to end customers, including but not limited to MES, ERP, quality management, supply chain management, and customer relationship management (CRM). The system includes extensibility tools that allows industrial customers to customize databases, data collection templates, reporting fields, and other features of their consumed services, eliminating the need for these features to be customized by an administrator of the cloud system. Some embodiments of the manufacturing cloud system can also leverage generative artificial intelligence (AI) in connection with executing its supported services.

Abstract: A multi-tenant, cloud-based Software-as-a-Service (SaaS) manufacturing cloud system offers a variety of industrial applications to end customers, including but not limited to MES, ERP, quality management, supply chain management, and customer relationship management (CRM). The system includes extensibility tools that allows industrial customers to customize databases, data collection templates, reporting fields, and other features of their consumed services, eliminating the need for these features to be customized by an administrator of the cloud system. Some embodiments of the manufacturing cloud system can also leverage generative artificial intelligence (AI) in connection with executing its supported services.

Abstract: A multi-tenant, cloud-based Software-as-a-Service (SaaS) manufacturing cloud system offers a variety of industrial applications to end customers, including but not limited to MES, ERP, quality management, supply chain management, and customer relationship management (CRM). The system includes extensibility tools that allows industrial customers to customize databases, data collection templates, reporting fields, and other features of their consumed services, eliminating the need for these features to be customized by an administrator of the cloud system. Some embodiments of the manufacturing cloud system can also leverage generative artificial intelligence (AI) in connection with executing its supported services.

Abstract: A multi-tenant, cloud-based Software-as-a-Service (SaaS) manufacturing cloud system offers a variety of industrial applications to end customers, including but not limited to MES, ERP, quality management, supply chain management, and customer relationship management (CRM). The system includes extensibility tools that allows industrial customers to customize databases, data collection templates, reporting fields, and other features of their consumed services, eliminating the need for these features to be customized by an administrator of the cloud system. Some embodiments of the manufacturing cloud system can also leverage generative artificial intelligence (AI) in connection with executing its supported services.

Abstract: Methods, devices and systems are described that enable improved determination of wavefront errors associated with light traveling through turbulent media, such as through the atmosphere. The described systems use a Rayleigh-Raman polychromatic laser guide star (RRPLGS) to measure the tilt at the wavelength of observation by making use of the dispersion of the refractive index of air and differential tilt measurements at multiple combinations of wavelengths based on the Rayleigh and Raman back-scattered light. The described RRPLGS systems have a number of advantages, including scalability of returned flux and flexibility in selection of short wavelengths, allowing for a combination of multiple tilt measurements, and enabling characterization of the turbulent media without relying on photons from the object of interest.

Abstract: A request is received from a client device at a first datacenter a distributed cloud computing network. The distributed cloud computing network includes multiple datacenters. The received request triggers execution of code at the distributed cloud computing network. The code includes a first function and a second function. A determination is made to execute the first function at the first datacenter and to execute the second function at a second datacenter of the distributed cloud computing network. The first function is executed at the first datacenter to get a first result. The first datacenter causes the second function to be executed at the second datacenter. The first datacenter receives, from the second datacenter, a second result from the execution of the second function. The first datacenter transmits a response to the client device that is based at least in part on the first result and the second result.

Abstract: Methods, systems and devices are disclosed to detect and compensate wavefront errors associated with light that spans a large range of wavelengths and different polarization states. One example system includes an optical wavefront sensor that is positioned to receive input light after propagation through a turbulent medium, such as air or water or other liquids, and to detect a wavefront error associated with at least one spectral component of the received light that has a plurality of spectral components. The system further includes a wavefront compensator that is positioned to receive the input light and to simultaneously effectuate wavefront corrections for the plurality of spectral components of the input light based on the detected wavefront error.

Abstract: A first compute server of a plurality of compute servers of a distributed cloud computing network receives an inference request. The first compute server determines that the received inference request triggers execution of code at the distributed cloud computing network, where the code is related to an artificial intelligence (AI) application that interacts with the inference request and causes input of the inference request to be run through an AI model. If the AI model is not loaded at the first compute server but is loaded at a second compute server, the inference request is routed to the second compute server for performing the inference operation.

Abstract: A request is received from a client device at a first datacenter a distributed cloud computing network. The distributed cloud computing network includes multiple datacenters. The received request triggers execution of code at the distributed cloud computing network. The code includes a first function and a second function. A determination is made to execute the first function at the first datacenter and to execute the second function at a second datacenter of the distributed cloud computing network. The first function is executed at the first datacenter to get a first result. The first datacenter causes the second function to be executed at the second datacenter. The first datacenter receives, from the second datacenter, a second result from the execution of the second function. The first datacenter transmits a response to the client device that is based at least in part on the first result and the second result.

Abstract: Devices and techniques are generally described for sending a first instruction for a device to output first content while the speech-processing device is in an ambient state during a first time period. First feedback data is received indicating that a first action associated with the first content was requested at a first time. A determination is made that the first time is during the first time period. Timing data related to a current time of the device is determined. Second content is determined based at least in part on the first action being requested during the first time period and the timing data. A second instruction is sent effective to cause the device to output second content while in the ambient state during a second time period.

Abstract: A tile saw includes a saw with a cutting blade, a frame supporting the saw, a table supporting a workpiece and being slidable relative to the frame, and a rear fence secured to the table. The rear fence has an engagement surface and is adjustable between an operating position and a bypassed position. The bypassed position includes the engagement surface of the fence being no higher than even with the planar surface of the table to allow a workpiece to extend beyond a rear edge of the table. In the operating position, the engagement surface of the rear fence projects axially from the planar surface of the table to support the workpiece as the workpiece is pushed into the cutting blade during operation. The fence can be adjusted between the operating and bypassed positions by using any one of a cam lever clamp, pin and guideway, or rotatable latch.

Abstract: A tile saw includes a saw with a cutting blade, a frame supporting the saw, a table supporting a workpiece and being slidable relative to the frame, and a rear fence secured to the table. The rear fence has an engagement surface and is adjustable between an operating position and a bypassed position. The bypassed position includes the engagement surface of the fence being no higher than even with the planar surface of the table to allow a workpiece to extend beyond a rear edge of the table. In the operating position, the engagement surface of the rear fence projects axially from the planar surface of the table to support the workpiece as the workpiece is pushed into the cutting blade during operation. The fence can be adjusted between the operating and bypassed positions by using any one of a cam lever clamp, pin and guideway, or rotatable latch.

Abstract: A request is received from a client device at a first datacenter of a distributed cloud computing network. The first request triggers execution of code at the distributed cloud computing network. The execution of the code includes transmitting additional requests to destination(s) external to the distributed cloud computing network. A second datacenter of the distributed cloud computing network is selected to execute the code, where the selection is based on an optimization goal. The code is executed at the second datacenter. The first datacenter receives a result from the code being executed at the second datacenter. The first datacenter transmits a response to the client device that is based at least in part on the result.

Abstract: Distributed system resources may be managed by applying user created policies to the resources. To ensure that valid policies are applied, remote validation for the policies may be implemented. A validation event for a policy may be detected. A remote validation agent may be identified for the policy and a validation request sent to the remote validation agent that includes information for validating the policy. The remote validation agent may return a validation result for the policy. If valid, a policy action that triggered the remote validation event for the policy may be allowed. If invalid, the policy action that triggered the remote validation event for the policy may be denied.

Abstract: Methods, systems and devices are disclosed to detect and compensate wavefront errors associated with light that spans a large range of wavelengths and different polarization states. One example system includes an optical wavefront sensor that is positioned to receive input light after propagation through a turbulent medium, such as air or water or other liquids, and to detect a wavefront error associated with at least one spectral component of the received light that has a plurality of spectral components. The system further includes a wavefront compensator that is positioned to receive the input light and to simultaneously effectuate wavefront corrections for the plurality of spectral components of the input light based on the detected wavefront error.

Abstract: Methods, devices and systems are described that enable improved determination of wavefront errors associated with light traveling through turbulent media, such as through the atmosphere. The described systems use a Rayleigh-Raman polychromatic laser guide star (RRPLGS) to measure the tilt at the wavelength of observation by making use of the dispersion of the refractive index of air and differential tilt measurements at multiple combinations of wavelengths based on the Rayleigh and Raman back-scattered light. The described RRPLGS systems have a number of advantages, including scalability of returned flux and flexibility in selection of short wavelengths, allowing for a combination of multiple tilt measurements, and enabling characterization of the turbulent media without relying on photons from the object of interest.