Microsoft Technology Licensing Llc

A vapor recovery system comprises an inlet located at a first end of a fluid path configured to receive a fluid vapor to the vapor recovery system. The vapor recovery system comprises a condenser located on the fluid path and a scrubber located on the fluid path. The vapor recovery system comprises a composition sensor located on the fluid path between the scrubber and a second end of the fluid path. The composition sensor is configured to measure a composition of the fluid vapor. The vapor recovery system comprises an exhaust located at the second end of the fluid path configured to exhaust at least a portion of the fluid vapor from the fluid path at a composition having an amount of a working fluid below a working fluid threshold.

This document relates to devices employing imaging devices, such as cameras and improved camera performance. In one example the device includes an optical element and a sensing element configured to sense light passing through the optical element. This example includes a set of MEMS actuators configured to be individually selectively controlled to create six degrees of freedom (6DoF) movement between the sensing element and the optical element.

A system implements techniques for executing a collaboration session between at least one human participant, at least one robotic device participant, and at least one artificial intelligence agent participant. The collaboration session can be executed in relation to a mission to be completed within a geographical environment. A mission defines one or more goals. Accordingly, a mission typically includes a set of tasks to be completed to achieve the goals. The mission may be related to a response to an event and the set of tasks to be completed in accordance with the mission is distributed across available resources. More specifically, different human and/or robotic device roles may have varied responsibilities in implementing different tasks to complete the mission. Consequently, the collaboration session creates an effective and efficient solution for humans, robotic devices, and artificial intelligence agents to coordinate the performance of the mission.

Systems and methods for managing access to on-premises services include receiving a request from a cloud-based computing environment to access an on-premises containerized cluster application programming interface (API) server, determining a protocol type associated with the request, generating a reverse proxy associated with the request based on the protocol type, and forwarding the request to the on-premises containerized cluster API server using the reverse proxy.

A framework is provided to develop and validate a schema for a chatbot. The chatbot schema is automatically generated from a natural language description of the chatbot using machine learning models without user intervention. The chatbot schema contains machine-generated topics that are derived from simulated conversations generated by a language model. Trigger phrases and dialog flows are generated by the language model and input into the chatbot schema. The chatbot schema is then validated to identify any potential errors. The construction and validation of the chatbot schema in this manner enables developers of any skill level to quickly build a chatbot application.

This document relates to automating detecting anomalies in network behavior of an application Generally, the disclosed techniques can obtain network flow data for an application. A machine learning model can be used to process the network flow data to detect anomalies. The machine learning model can be retrained over time to adapt to changing network behavior of the application. In some cases, a graph neural network is employed to detect the anomalies.

Systems and methods are provided for implementing virtual cloud simulation within a public cloud network. In examples, a domain name system (“DNS”) server in a virtual cloud network receives, from a service under test that is running within the virtual cloud network, a request to access a resource, the request including non-routable cloud configurations for the resource. A central configuration repository in the virtual cloud network maps the non-routable cloud configurations for the resource that are identified in the request from the service under test to public cloud configurations of the resource. A reverse proxy server in the virtual cloud network directs the request to a public cloud instance of the resource that is running in another portion of the public cloud network, directs return data traffic from the public cloud instance of the resource back to the service under test in the virtual cloud network.

This document relates to direction finding for beam steering in wireless communication applications. The disclosed implementations can employ various signal characteristics to determine a direction in which to steer a radio frequency beam for wireless communication. For example, a first radio of a communication device can be employed for direction finding of another communication device using signals in a first frequency band. Based on directional information obtained from the first radio, a second radio can be instructed to initialize a search for the another communication device using signals in a second frequency band that is higher than the first frequency band.

True random number generators including Fibonacci-Galois ring oscillators with a stochastic start-up condition are described. An example ring oscillator circuit includes a first oscillating loop comprising at least three inverter stages, where the first oscillating loop is configured to provide a start-up stochastic condition for starting oscillations in a second oscillating loop. The second oscillating loop comprises a chain of inverter stages and a plurality of switches whose state is determined by a feedback polynomial. The ring oscillator circuit is to: (1) during a first mode of operation, enable oscillations in the first oscillating loop while keeping the second oscillating loop open, and thereby generate the stochastic start-up condition for starting oscillations in the second oscillating loop, and (2) during a second mode of operation, enable oscillations in the second oscillating loop in response to the stochastic start-up condition, while keeping the first oscillating loop open.

A method, computer program product, and computing system for obtaining one or more speech signals from a first device, thus defining one or more first device speech signals. One or more speech signals may be obtained from a second device, thus defining one or more second device speech signals. One or more acoustic relative transfer functions mapping reverberation from the one or more first device speech signals to the one or more second device speech signals may be generated. One or more augmented second device speech signals may be generated based upon, at least in part, the one or more acoustic relative transfer functions and first device training data.