Gm Global Technolgoy Operations, Inc.

Analyttica Datalab Inc.

Halasya Siva Subramania

Ashutosh Joshi

Rajiv Baphna

Satyamoy Chatterjee

Yilu Zhang

Mutasim Abdurrahman Salman

John J Correia

Satnam Singh

Ryan M Edwards

Mark J Rychlinski

Gary W Gantt, Jr

Clifton L Pinion

Kyle L Lobes

Apparatuses, systems, methods, and computer program products are disclosed for adaptive machine learning. An apparatus includes a monitoring module that continuously monitors one or more interactions of a user while the user performs one or more simulated tasks digitally presented to the user that are associated with a learning path. The apparatus includes a metadata module that tracks data describing the user's interactions during the user's performance of one or more simulated tasks. The apparatus includes a machine learning module that, dynamically and in real-time, optimizes the user's learning path by simulating multiple different learning paths using one or more machine learning processes and tracked data. The apparatus includes a recommendation module that presents one or more recommendations to the user for optimizing the user's learning path. One or more recommendations may be generated as a function of the optimized learning path.

Adaptive machine learning system

A processor implemented method for scoring a challenge taken by a user, and training the user using a simulation based learning platform is provided. The processor implemented method includes (i) obtaining, from a database, challenges to be taken by a user and associated at least one of information, (iii) processing a selection of, the challenge from the challenges with actions or steps performed by the user, (iv) rendering, hints to solve the challenge, (v) recording, steps taken by the user to solve the challenge, (vi) comparing the steps taken by the user with steps taken by an expert to solve the challenge to compute a deviance of the user from a reference path, (vii) scoring, the challenge based on the deviance of the user from the reference path to obtain a score, and (viii) notifying, a result associated with the challenge to the user based on the score.

Simulation based learning system and method for training and scoring one or more challenges taken by a user

A method is provided for identifying a root cause of a fault in a serviced vehicle based on analytical symptoms. Parameter identification data associated with identified DTCs is retrieved. Parameter identification data from a plurality of vehicles experiencing the DTCs is collected. A first set of diagnostic rules is generated that identify vehicle operating parameters for executing a DTC algorithm or for triggering a DTC. A second set of diagnostic rules is generated that identify vehicle operating parameters used for selecting field failure data obtained when the DTC is triggered. Statistically significant rules are extracted from the second set of diagnostic rules. The first set of rules and the statistically significant rules are cooperatively applied to the parameter identification data for identifying a subset of the parameter identification data that represents anomalies. A subject matter expert analyzes the anomalies for identifying a root cause of the fault.

Detecting anomalies in fault code settings and enhancing service documents using analytical symptoms

A system and method for determining the status of a vehicle battery to determine whether the battery may not have enough charge to start the vehicle. The method includes collecting data relating to the battery on the vehicle and collecting data relating to the battery at a remote back-office. Both the vehicle and the remote data center determine battery characteristics based on the collected data and the likelihood of a vehicle no-start condition, where the algorithm used at the remote back-office may be more sophisticated. The data collected at the remote back-office may include vehicle battery information transmitted wirelessly from the vehicle, and other information, such as temperature, battery reliability, miles that the vehicle has driven per day, ambient temperature, high content vehicle, etc. Both the vehicle and the remote back-office may determine the battery open circuit voltage.

Method and apparatus for telematics-based vehicle no-start prognosis

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Bengaluru, India

Halasya Siva Subramania