Abstract: According to certain aspects of the disclosure, a computer-implemented method may be used for determining one or more vehicle recommendations. The method may include receiving data pertaining to a user's internet browsing activity. The received data may be indicative of the user's automotive vehicle preferences. The method may include comparing the received data to a collection of stored vehicle qualities. The method also may include identifying, based on the received data and the comparison of the received data to the collection of stored vehicle qualities, a vehicle characteristic of interest to the user. Using the vehicle characteristic of interest, one or more vehicle recommendations may be determined. One or more vehicle recommendations may be communicated to the user.

Abstract: A computer-implemented method for using a machine-learning trained predictive engine to predict failures includes receiving electronic prior transaction data corresponding to a plurality of prior successful transactions and a plurality of prior unsuccessful transactions, and training a machine learning predictive engine based on the plurality of prior successful transactions and the plurality of prior unsuccessful transactions. Electronic transaction data may be received, the electronic transaction data being associated with a user, an item, and candidate transaction terms, the electronic transaction data being associated with a candidate transaction. The machine learning predictive engine may determine a likelihood of success of the candidate transaction based on the electronic transaction data, and display the likelihood of success of the candidate transaction.

Abstract: Mobile management method, system and client. Method includes receiving a DNS query for a host name from an application on client; retrieving reputation data associated with host name from a local cache on client; and determining a policy based on host name and the reputation data. Based on determined policy for the host name, blocking attempted network flows to a host corresponding to host name to produce blocked attempted network flows. Method also includes sending attempted network flow metadata related to the blocked attempted network flows to a collector on client; transmitting the attempted network flow metadata from the collector to a VPN server pool via a VPN tunnel; and producing an anomaly report from the transmitted attempted network flow metadata. The anomaly report includes at least one of anomalies, cohorts, trends, location boundaries, detected network security issues, detected compromised clients and/or optimized network usage.

Abstract: Systems and methods for providing a disposal recommendation for an owned vehicle are provided. The method includes generating a profile for the owned vehicle, the profile including age, mileage, and location of the owned vehicle, receiving monitoring data of the owned vehicle, and receiving sales data for non-owned vehicles corresponding to the profile. The method may further include generating predicted depreciation data of the owned vehicle, based on the sales data and the monitoring data, and providing a recommended disposal time for the owned vehicle, based on the predicted depreciation data.

Abstract: Various embodiments are generally directed to techniques to provide specific vehicle recommendations to generic user requests. A method for providing the specific vehicle recommendation includes: receiving a generic automobile request from a user, applying a machine learning model (MLM) trained by a corpus of reviews to the received request, and generating, by the MLM, a recommendation for at least one specific automobile feature based on the generic automobile request.

Abstract: A device having extended reality capabilities receives a video feed including one or more video frames depicting an object. The device provides the one or more video frames to a first machine learning model that identifies the object and one or more parts of the object that are depicted in the one or more video frames, and obtains positional tracking information that represents a position and an orientation associated with the object depicted in the one or more video frames relative to a coordinate space. The device identifies a plurality of parts from the one or more parts of the object that are depicted in the one or more video frames and determines, using one or more second machine learning models, information regarding the plurality of parts and information regarding one or more replacement parts.

Abstract: A system and process to create a lookalike model for a target audience to deliver advertisements are disclosed. According to one embodiment, the method comprises selecting survey data from a survey database that relates to an advertisement. A heterogenous treatment effect (HETE) model is trained on the survey data. Persuadable customers are identified from the survey database for the advertisement based on the HETE model. An optimized customer list is generated using personally identifiable information.

Abstract: A system and process to create a lookalike model for a target audience to deliver advertisements are disclosed. According to one embodiment, the method comprises selecting survey data from a survey database that relates to an advertisement. A heterogenous treatment effect (HETE) model is trained on the survey data. Persuadable customers are identified from the survey database for the advertisement based on the HETE model. An optimized customer list is generated using personally identifiable information.

Abstract: A system and process to create a lookalike model for a target audience to deliver advertisements are disclosed. According to one embodiment, the method comprises selecting survey data from a survey database that relates to an advertisement. A heterogenous treatment effect (HETE) model is trained on the survey data. Persuadable customers are identified from the survey database for the advertisement based on the HETE model. An optimized customer list is generated using personally identifiable information.

Abstract: A hybrid vehicle includes at least one axle, an energy storage device disposed within the hybrid vehicle, a fuel consuming engine, a power boosting feature, and a controller. The fuel consuming engine is operably connected to selectively provide power to at least one of the energy storage device and the at least one axle. The engine is capable of providing at least the mean but less than a peak power to drive the hybrid vehicle over a typical route. The power boosting feature is configured to provide the fuel consuming engine with additional power to achieve a desired power to accelerate the hybrid vehicle. The controller is adapted to selectively control power flow to the one or more axles from one or more of the energy storage device, the engine, and the power boosting feature to achieve the desired power.

Abstract: A hybrid vehicle includes at least one axle, an energy storage device disposed within the hybrid vehicle, a fuel consuming engine, a power boosting feature, and a controller. The fuel consuming engine is operably connected to selectively provide power to at least one of the energy storage device and the at least one axle. The engine is capable of providing at least the mean but less than a peak power to drive the hybrid vehicle over a typical route. The power boosting feature is configured to provide the fuel consuming engine with additional power to achieve a desired power to accelerate the hybrid vehicle. The controller is adapted to selectively control power flow to the one or more axles from one or more of the energy storage device, the engine, and the power boosting feature to achieve the desired power.

Abstract: A printing system includes a plurality of printers, at least a first and a second of the plurality of printers printing in a first print modality. A scheduling system schedules printing of a set of pages by the plurality of printers. The set of pages, when assembled, may include pages where a high level of consistency is desired, such as facing pages or pages which are otherwise to be placed in close relationship. The scheduling system includes at least two scheduling modes, a first mode in which a consistency constraint is applied to the set of pages, and a second mode, different from the first mode, in which the consistency constraint is not applied. The printing system is configured for printing the set of pages in accordance with the first mode and in accordance with the second mode.

Abstract: A Process using anaerobic, aerobic, and cometabolizing bacteria to biodegrade halogenated organic compounds in an unsaturated zone lyng between the ground surface and the underlying water table is disclosed. The process includes contacting in situ an electron donor compound with dehalogenating bacteria indigenous in or added thereto in the unsaturated soil zone which is between the ground surface and underlying water table. Further the halogenated component compounds also react with the bacteria and electron donor; thus, stimulating biodegradation while cycling between aerobic and anaerobic as well as cometabolic environments during the process.