Abstract: Embodiments disclosed are directed to an immutable database in a data processing system for tracking a data state of the data processing system using multiple timelines or temporal sequences representing events occurring in the data processing system. The immutable database may maintain a current temporal sequence representing an existing data state of the data processing system and generate alternate temporal sequences representing an alternate data state of the data processing system. The alternate temporal sequence may be used to test retroactive events that are intended to replace or correct events that occurred in the current temporal sequence.

Abstract: Methods and systems for controlling an autonomous machine. The autonomous machine has sensors generating input data, while the controller includes two or more neural networks that inference using the input data and generate output data. The neural networks can be trained using an identical set of training data set. The output data from each of the neural networks are monitored to ensure that the integrity of the operation is maintained by, for example, the output data from one neural network is compared with the output data from another neural network to verify the consistency. If the comparison yields that the integrity of the system is not maintained at an acceptable level, the controller can stop using the output in controlling the autonomous machine.

Abstract: Embodiments disclosed are directed to an immutable database with a bitemporal ledger for storing transactions in timelines for maintaining a record of all events and resources within the system. The bitemporal ledger may store a sequence of transactions which include a plurality of transactions previously received by the data processing system in a temporal sequence up to a current time. A new transaction is received and may be appended to the sequence of transactions based on temporal metadata associated with the transaction are received, The temporal metadata may include a valid-from time and a created-at time.

Abstract: Systems and methods for an example modular welding systems having one or more system capabilities based on components connected to the welding systems are provided.

Abstract: Features for a lightweight stereoscopic viewing client are described. The client can generate accurate ground point coordinates from selections within the lightweight viewer by accumulating the transformations from original image sources to the images used to render the stereoscopic scene to accurately predict error for a point selection. The viewer may also be decoupled from a permanent image store allowing on-demand retrieval of images via a network for stereoscopic viewing.

Abstract: Methods and systems for controlling an autonomous machine. The autonomous machine has sensors generating input data, while the controller includes two or more neural networks that inference using the input data and generate output data. The neural networks can be trained using an identical set of training data set. The output data from each of the neural networks are monitored to ensure that the integrity of the operation is maintained by, for example, the output data from one neural network is compared with the output data from another neural network to verify the consistency. If the comparison yields that the integrity of the system is not maintained at an acceptable level, the controller can stop using the output in controlling the autonomous machine.

Abstract: Methods and systems that allow neural network systems to maintain or increase operational accuracy while being able to operate in various settings. A set of training data is collected over each of at least two different settings. Each setting has a set of characteristics. Examples of setting characteristic types can be time, geographical location, and/or weather condition. Each set of training data is used to train a neural network resulting in a set of coefficients. For each setting, the setting characteristics are associated with the corresponding neural network having the resulting coefficients and neural network structure. A neural network, having the coefficients and neural network structure resulted after training using the training data collected over a setting, would yield optimal results when operated in/under the setting. A database management system can store information relating to, for example, the setting characteristics, neural network coefficients, and/or neural network structures.

Abstract: Methods and systems for controlling an autonomous machine. The autonomous machine has sensors generating input data, while the controller includes two or more neural networks that inference using the input data and generate output data. The neural networks can be trained using an identical set of training data set. The output data from each of the neural networks are monitored to ensure that the integrity of the operation is maintained by, for example, the output data from one neural network is compared with the output data from another neural network to verify the consistency. If the comparison yields that the integrity of the system is not maintained at an acceptable level, the controller can stop using the output in controlling the autonomous machine.

Abstract: Methods and systems for controlling an autonomous machine. The autonomous machine has sensors generating input data, while the controller includes two or more neural networks that inference using the input data and generate output data. The neural networks can be trained using an identical set of training data set. The output data from each of the neural networks are monitored to ensure that the integrity of the operation is maintained by, for example, the output data from one neural network is compared with the output data from another neural network to verify the consistency. If the comparison yields that the integrity of the system is not maintained at an acceptable level, the controller can stop using the output in controlling the autonomous machine.

Abstract: Features for a lightweight stereoscopic viewing client are described. The client can generate accurate ground point coordinates from selections within the lightweight viewer by accumulating the transformations from original image sources to the images used to render the stereoscopic scene to accurately predict error for a point selection. The viewer may also be decoupled from a permanent image store allowing on-demand retrieval of images via a network for stereoscopic viewing.

Abstract: Systems and methods for selecting a welding process are disclosed. An example welding power supply is configured to: provide welding power for welding; receive a communication from a remote device over a weld cable, wherein the communication corresponds to a detected welding output polarity; and automatically set a new welding process based on a current welding process of the welding power supply and the received communication.

Abstract: Methods and systems that allow neural network systems to maintain or increase operational accuracy while being able to operate in various settings. A set of training data is collected over each of at least two different settings. Each setting has a set of characteristics. Examples of setting characteristic types can be time, geographical location, and/or weather condition. Each set of training data is used to train a neural network resulting in a set of coefficients. For each setting, the setting characteristics are associated with the corresponding neural network having the resulting coefficients and neural network structure. A neural network, having the coefficients and neural network structure resulted after training using the training data collected over a setting, would yield optimal results when operated in/under the setting. A database management system can store information relating to, for example, the setting characteristics, neural network coefficients, and/or neural network structures.

Abstract: Methods and systems that allow neural network systems to control adaptively groups of automated machines to achieve a common goal. In particular, a number of automated machines can be divided into multiple groups. Each group having one or more automated machines, and the automated machines belong to each group is to use an identical neural network (that is, having the same neural network structure and the same set of coefficients). As the groups of automated machines operate to achieve the common goal, some groups may perform better compared with other groups. If so, the neural network of the better performing group is copied to automated machines in other groups to ensure more automated machines also improve the results in achieving the common goal.

Abstract: Methods and systems that allow neural network systems to maintain or increase operational accuracy while being able to operate in various settings that may include predicting information. A set of training data is collected over each of at least two different settings. Each setting has a set of characteristics. Examples of setting characteristic types can be time, geographical location, and/or weather condition. Each set of training data is used to train a neural network resulting in a set of coefficients. For each setting, the setting characteristics are associated with the corresponding neural network having the resulting coefficients and neural network structure. A neural network, having the coefficients and neural network structure resulted after training using the training data collected over a setting, would yield optimal results when operated in/under the setting.

Abstract: Systems and methods for selecting a welding process are disclosed. An example welding power supply is configured to: provide welding power for welding; receive a communication from a remote device over a weld cable, wherein the communication corresponds to a detected welding output polarity; and automatically set a new welding process based on a current welding process of the welding power supply and the received communication.

Abstract: Methods and systems that allow neural network systems to maintain or increase operational accuracy while being able to operate in various settings. A set of training data is collected over each of at least two different settings. Each setting has a set of characteristics. Examples of setting characteristic types can be time, geographical location, and/or weather condition. Each set of training data is used to train a neural network resulting in a set of coefficients. For each setting, the setting characteristics are associated with the corresponding neural network having the resulting coefficients and neural network structure. A neural network, having the coefficients and neural network structure resulted after training using the training data collected over a setting, would yield optimal results when operated in/under the setting. A database management system can store information relating to, for example, the setting characteristics, neural network coefficients, and/or neural network structures.

Abstract: There is provided a trolley mechanism for wheeled luggage, the wheeled luggage comprising four luggage wheels at a lower surface of the wheeled luggage and a deployable trolley handle at an upper surface of the wheeled luggage such that, in use, the wheeled luggage may be manoeuvred about by the deployable trolley handle in a substantially upright orientation supported by the luggage wheels and wherein the trolley mechanism comprising a deployable trolley deck, the trolley deck being pivotally coupled substantially at the lower surface of the wheeled luggage at a proximal edge of the trolley deck and having at least one trolley wheel at an opposite distal end of the trolley deck such that the deployable trolley deck is pivotally configurable between: a stowed configuration wherein the trolley deck lies against a surface of the wheeled luggage; and a deployed configuration wherein the trolley deck is deployed at a substantial right angle to the surface such that, when the wheeled luggage is in the substantiall

Abstract: Features for a lightweight stereoscopic viewing client are described. The client can generate accurate ground point coordinates from selections within the lightweight viewer by accumulating the transformations from original image sources to the images used to render the stereoscopic scene to accurately predict error for a point selection. The viewer may also be decoupled from a permanent image store allowing on-demand retrieval of images via a network for stereoscopic viewing.

Abstract: There is provided a trolley mechanism for wheeled luggage, the wheeled luggage comprising four luggage wheels at a lower surface of the wheeled luggage and a deployable trolley handle at an upper surface of the wheeled luggage such that, in use, the wheeled luggage may be manoeuvred about by the deployable trolley handle in a substantially upright orientation supported by the luggage wheels and wherein the trolley mechanism comprising a deployable trolley deck, the trolley deck being pivotally coupled substantially at the lower surface of the wheeled luggage at a proximal edge of the trolley deck and having at least one trolley wheel at an opposite distal end of the trolley deck such that the deployable trolley deck is pivotally configurable between: a stowed configuration wherein the trolley deck lies against a surface of the wheeled luggage; and a deployed configuration wherein the trolley deck is deployed at a substantial right angle to the surface such that, when the wheeled luggage is in the substantiall

Abstract: Systems and methods for selecting a welding process are disclosed. An example welding power supply is configured to: provide welding power for welding; receive a communication from a remote device over a weld cable, wherein the communication corresponds to a detected welding output polarity; and automatically set a new welding process based on a current welding process of the welding power supply and the received communication.