Abstract: A vehicle proximity and alert system and apparatus warns snowmobilers of other approaching vehicles with potential risk of collision. To better prevent accidents, the system calculates collision risks and warns the rider based on level of risk. When riding in groups, a member can press a stop request button to ask the group to slow down. When a member exits the group, everyone in the group will receive a message, alerts or indication with the update. The vehicle detection system utilizes Bluetooth low energy (BLE), LoRa technologies and/or global positioning system technologies and is designed to detect other devices in the region and use acquired information to calculate proximity and risk of collision.

Abstract: In a general aspect, calibration is performed in a quantum computing system. In some cases, domains of a quantum computing system are identified, where the domains include respective domain control subsystems and respective subsets of quantum circuit devices in a quantum processor of the quantum computing system. Sets of measurements are obtained from one of the domains and stored in memory. Device characteristics of the quantum circuit devices of the domain are obtained based on the set of measurements, and the device characteristics are stored in a memory of the control system. Quantum logic control parameters for the subset of quantum circuit devices of the domain are obtained based on the set of measurements and stored in memory.

Abstract: A method of assembling two snowmobiles with a common frame includes providing a common forward frame. A first common component is provided and positioned at a first orientation or at a second orientation with respect to the common forward frame. The first common component is secured at the first orientation or at the second orientation. The method includes selecting between a first set of first model components and a second set of second model components and securing the first set of first model components or the second set of second model components.

Abstract: Option exploration of one or more candidate options is performed in response to a user interaction. A multiplicative inverse of a propensity of showing each of the one or more candidate options to a user is computed and a multiplicative inverse of a propensity of each of the one or more candidate options being able to receive feedback is computed. An overall cost is computed by multiplying the multiplicative inverse of the propensity of showing each of the one or more candidate options by the multiplicative inverse of propensity of each of the one or more candidate options being able to receive feedback. The overall cost is applied as a weight to a corresponding sample.

Abstract: A computer implemented method of performing large-scale machine learning experiments includes expanding on one or more input datasets by systematically generating several data set drift splits. A set of experimental jobs corresponding to the generated data set drift splits are executed to generate experimental results. The experimental results are processed, consolidated, and clustered according to the generated data set drift splits.

Abstract: A technique for generating a performance prediction of a machine learning model with uncertainty intervals includes obtaining a first model configured to perform a task and a production dataset. At least one metric predicting a performance of the first model at performing the task on the production dataset is generated using a second model. The second model is a meta-model associated with the first model. At least one value predicting an uncertainty of the at least one metric predicting the performance of the first model at performing the task on the production dataset is generated using a third model. The third model is a meta-meta-model associated with the second model. An indication of the at least one metric and the at least one value is provided.

Abstract: A running board assembly for a snow vehicle includes a support member positioned outboard from a tunnel of the snow vehicle. The support member includes a first end, a second end, and an attachment element located intermediate of the first end and the second end. One or more foot support members is disposed inboard from the support member. A support leg is removably securable to the attachment element of the support member. The support leg includes a mounting feature securable to a rear suspension component disposed below an upper surface of a drive track.

Abstract: A weapon is capable of firing cased telescoped (CT) ammunition rounds. The weapon includes a barrel, a chamber member that defines a chamber configured to hold a CT round for firing from the weapon, a non-rotating carrier body, and linkage. The linkage is constructed and arranged to move the chamber member (i) from a firing position in which the chamber member is aligned with the barrel for firing the CT round to an ejection/loading position in which the chamber member is not aligned with the barrel for ejecting a spent CT round and receiving a next CT round in response to the non-rotating carrier body moving away from the barrel, and (ii) from the ejection/loading position to the firing position in response to the non-rotating carrier body moving toward the barrel.

Abstract: A tire-inflation system for a small trailer may include a fluid pressure source mountable to the trailer, and air conduits providing sealed fluid communication between the air pressure source and the small trailer's pneumatic tires.

Abstract: A belt-fed weapon includes an upper part defining a feed tray cavity, and a feed tray in the feed tray cavity, wherein the feed tray and feed-tray cavity are co-configured for lateral sliding insertion and removal of the feed tray to and from an installed position in the feed tray cavity. The arrangement enables insertion and removal of the feed tray without interference with an installed scope or similar optic, enabling maintenance or field stripping without requiring removal or re-sighting of the scope.

Abstract: A water-soluble polyurethane derived from: polyethylene glycol, polyethylene glycol-block-polypropylene glycol-block-polyethylene glycol polymer, polypropylene glycol-block-polyethylene glycol-block-polypropylene and mixtures thereof, 1,1?-Carbonyldiimidazole, polyamine and mixtures thereof.

Abstract: A computer-implemented method, a computer program product, and a system for reducing labeled sample quantities required to update test sets. The computer-implemented method includes inputting a portion of unlabeled production data into a base model and generating labeled output relating to the unlabeled production data. The computer-implemented method also includes inputting the labeled output into a performance predictor. The performance predictor is a meta model of the base model that is trained with another portion of the unlabeled production data, a training set used to train the base model, and a test set portioned from the training set. The computer-implemented method further includes outputting, by the performance predictor, a performance metric relating to the labeled output produced by the trained base model. The performance metric can be any metric capable of measuring the output performance of the base model.

Abstract: Hybrid on-policy/off-policy techniques are provided for improving the estimation of quality (reward) of a control policy for decision making by combining the on-policy and off-policy data from multiple estimators into a single metric. In one aspect, a method for estimating a reward of a policy for decision making in a computer system includes: computing multiple reward estimates of the policy using estimators, wherein at least a subset of the estimators compute reward estimates with prediction intervals; and combining the multiple reward estimates using a combiner to produce a new reward estimate. Thus, some of the estimators might compute the reward estimates without prediction intervals. A method for estimating a reward of a policy when another one or more of the estimators compute reward estimates without prediction intervals is also provided.

Abstract: A weapon is capable of firing cased telescoped (CT) ammunition rounds. The weapon includes a barrel, a chamber member that defines a chamber configured to hold a CT round for firing from the weapon, a non-rotating carrier body, and linkage. The linkage is constructed and arranged to move the chamber member (i) from a firing position in which the chamber member is aligned with the barrel for firing the CT round to an ejection/loading position in which the chamber member is not aligned with the barrel for ejecting a spent CT round and receiving a next CT round in response to the non-rotating carrier body moving away from the barrel, and (ii) from the ejection/loading position to the firing position in response to the non-rotating carrier body moving toward the barrel.

Abstract: System, method, and apparatus for controlling performance of an engine in response to a set of outputs from a device to an engine control unit. The engine control unit receives profile parameters that are related to outputs of the device. The engine control unit engages a high performance functionality in response to a first signal. The engine control unit engages a high idle functionality in response to a second signal.

Abstract: A belt-fed weapon includes an upper part defining a feed tray cavity, and a feed tray in the feed tray cavity, wherein the feed tray and feed-tray cavity are co-configured for lateral sliding insertion and removal of the feed tray to and from an installed position in the feed tray cavity. The arrangement enables insertion and removal of the feed tray without interference with an installed scope or similar optic, enabling maintenance or field stripping without requiring removal or re-sighting of the scope.

Abstract: A firearm for firing cased telescoped (CT) ammunition cartridges that includes a split chamber configured to fully support a CT cartridge when it is fired, and that includes i) a dynamic rear chamber portion defining a pocket in a face of a bolt, and ii) a static front chamber portion that is integral to the barrel and separate from the bolt. A cartridge extraction mechanism engages the CT cartridge prior to the CT cartridge being fired, and holds the CT cartridge in the pocket in the bolt face as the bolt moves rearward to pull the CT cartridge out of the static front chamber portion and into an ejection position. An ejector is operable to eject the CT cartridge from the pocket in the face of the bolt when the CT cartridge reaches the ejection position.

Abstract: A computer implemented method of performing large-scale machine learning experiments includes expanding on one or more input datasets by systematically generating several data set drift splits. A set of experimental jobs corresponding to the generated data set drift splits are executed to generate experimental results. The experimental results are processed, consolidated, and clustered according to the generated data set drift splits.

Abstract: System, method, and apparatus for controlling performance of an engine in response to a set of outputs from a device to an engine control unit. The engine control unit receives profile parameters that are related to outputs of the device. The engine control unit engages a high performance functionality in response to a first signal. The engine control unit engages a high idle functionality in response to a second signal.

Abstract: A computer-implemented method, a computer program product, and a system for reducing labeled sample quantities required to update test sets. The computer-implemented method includes inputting a portion of unlabeled production data into a base model and generating labeled output relating to the unlabeled production data. The computer-implemented method also includes inputting the labeled output into a performance predictor. The performance predictor is a meta model of the base model that is trained with another portion of the unlabeled production data, a training set used to train the base model, and a test set portioned from the training set. The computer-implemented method further includes outputting, by the performance predictor, a performance metric relating to the labeled output produced by the trained base model. The performance metric can be any metric capable of measuring the output performance of the base model.