Abstract: In various embodiments, a system can: access a failure image on which a first model has inaccurately performed an inferencing task; train, on a set of dummy images, a second model to learn a visual variety of the failure image, based on a loss function having a first term and a second term, the first term quantifying visual content dissimilarities between the set of dummy images and outputs predicted during training by the second model, and the second term quantifying, at a plurality of different image scales, visual variety dissimilarities between the failure image and the outputs predicted during training by the second model; and execute the second model on each of a set of training images on which the first model was trained, thereby yielding a set of first converted training images that exhibit the visual variety of the failure image.

Abstract: Various embodiments herein relate to carriers for supporting one or more substrate as the substrates are passed through a processing apparatus. In many cases, the substrates are oriented in a vertical manner. The carrier may include a frame and vertical support bars that secure the glass to the frame. The carrier may lack horizontal support bars. The carrier may allow for thermal expansion and contraction of the substrates, without any need to provide precise gaps between adjacent pairs of substrates. The carriers described herein substantially reduce the risk of breaking the processing apparatus and substrates, thereby achieving a more efficient process. Certain embodiments herein relate to methods of loading substrates onto a carrier.

Abstract: In various embodiments, a system can: access a failure image on which a first model has inaccurately performed an inferencing task; train, on a set of dummy images, a second model to learn a visual variety of the failure image, based on a loss function having a first term and a second term, the first term quantifying visual content dissimilarities between the set of dummy images and outputs predicted during training by the second model, and the second term quantifying, at a plurality of different image scales, visual variety dissimilarities between the failure image and the outputs predicted during training by the second model; and execute the second model on each of a set of training images on which the first model was trained, thereby yielding a set of first converted training images that exhibit the visual variety of the failure image.

Abstract: Various embodiments herein relate to carriers for supporting one or more substrate as the substrates are passed through a processing apparatus. In many cases, the substrates are oriented in a vertical manner. The carrier may include a frame and vertical support bars that secure the glass to the frame. The carrier may lack horizontal support bars. The carrier may allow for thermal expansion and contraction of the substrates, without any need to provide precise gaps between adjacent pairs of substrates. The carriers described herein substantially reduce the risk of breaking the processing apparatus and substrates, thereby achieving a more efficient process. Certain embodiments herein relate to methods of loading substrates onto a carrier.

Abstract: Techniques are described for multi-task neural network model design using task crystallization are described. In one example a task crystallization method comprises adding one or more task-specific channels to a backbone neural network adapted to perform a primary inferencing task to generate a multi-task neural network model, wherein the adding comprises adding task-specific elements to different layers of the backbone neural network for each channel of the one or more task-specific channels. The method further comprises training, by the system, the one or more task-specific channels to perform one or more additional inferencing tasks that are respectively different from one another and the primary inferencing task, comprising separately tuning and crystallizing the task-specific elements of each channel of the one or more task-specific channels.

Abstract: Various embodiments herein relate to carriers for supporting one or more substrate as the substrates are passed through a processing apparatus. In many cases, the substrates are oriented in a vertical manner. The carrier may include a frame and vertical support bars that secure the glass to the frame. The carrier may lack horizontal support bars. The carrier may allow for thermal expansion and contraction of the substrates, without any need to provide precise gaps between adjacent pairs of substrates. The carriers described herein substantially reduce the risk of breaking the processing apparatus and substrates, thereby achieving a more efficient process. Certain embodiments herein relate to methods of loading substrates onto a carrier.

Abstract: Techniques regarding autonomous data augmentation are provided. For example, one or more embodiments described herein can regard a system comprising a memory that can store computer-executable components. The system can also comprise a processor, operably coupled to the memory, that executes the computer-executable components stored in the memory. The computer-executable components can include a data augmentation component that executes a random unidimensional augmentation algorithm to augment a dataset for training a machine learning model via a plurality of augmentation operations. The random unidimensional augmentation algorithm can employ a global augmentation parameter that defines: a distortion magnitude associated with the plurality of augmentation operations, and a number of augmentation operations included in the plurality of augmentation operations.

Abstract: Various embodiments herein relate to carriers for supporting one or more substrate as the substrates are passed through a processing apparatus. In many cases, the substrates are oriented in a vertical manner The carrier may include a frame and vertical support bars that secure the glass to the frame. The carrier may lack horizontal support bars. The carrier may allow for thermal expansion and contraction of the substrates, without any need to provide precise gaps between adjacent pairs of substrates. The carriers described herein substantially reduce the risk of breaking the processing apparatus and substrates, thereby achieving a more efficient process. Certain embodiments herein relate to methods of loading substrates onto a carrier.

Abstract: A power grid management system for a power grid to which multiple electrical vehicles and multiple charging points are connected, each charging point including a power supply and a power interface connecting the power supply to an electrical vehicle; the system comprising a load management module that dynamically manages the load on the power grid by taking into account each individual electrical vehicle's characteristics and/or each respective, connected individual charging point's characteristics.

Abstract: Various embodiments herein relate to carriers for supporting one or more substrate as the substrates are passed through a processing apparatus. In many cases, the substrates are oriented in a vertical manner The carrier may include a frame and vertical support bars that secure the glass to the frame. The carrier may lack horizontal support bars. The carrier may allow for thermal expansion and contraction of the substrates, without any need to provide precise gaps between adjacent pairs of substrates. The carriers described herein substantially reduce the risk of breaking the processing apparatus and substrates, thereby achieving a more efficient process. Certain embodiments herein relate to methods of loading substrates onto a carrier.

Abstract: An artificial intelligence platform and associated methods of training and use are disclosed. An example apparatus includes a data pipeline to: preprocess data using one or more preprocessing operations applied to features associated with the data; and enable debugging to visualize the preprocessed data. The example apparatus includes a network to: instantiate one or more differentiable operations in a training configuration to train an artificial intelligence model; capture feedback including optimization and loss information to adjust the training configuration; and store one or more metrics to evaluate performance of the artificial intelligence model.

Abstract: A video compression system compresses video frames comprising pixels defined by n-bit color values. Encoder of video compression system determines the difference between a current pixel value and a plurality reference pixel values. Encoder sends difference value to decoder. Decoder determines current pixel value by adjusting a reference pixel color value by delta value.

Abstract: A user-operated switch is provided to enable an engine to operate a generator to charge a battery while the vehicle is parked.

Abstract: A biosensor has one or more field effect transistors each comprising a source region and a drain region separated by a channel region and a gate positioned offset and spaced from the channel region. The biosensor also has one or more molecular probes coupled to at least one of the channel region and the offset gate, the one or more molecular probes configured to mate with at least one target. A method for detection of a target is also disclosed. One or more targets are immobilized as an electric field shunt between an offset gate and a channel region for one or more biosensors. A target measurement value is determined in proportion to a number of the one or more biosensors having the electric field shunt.

Abstract: A biosensor has one or more field effect transistors each comprising a source region and a drain region separated by a channel region and a gate positioned offset and spaced from the channel region. The biosensor also has one or more molecular probes coupled to at least one of the channel region and the offset gate, the one or more molecular probes configured to mate with at least one target. A method for detection of a target is also disclosed. One or more targets are immobilized as an electric field shunt between an offset gate and a channel region for one or more biosensors. A target measurement value is determined in proportion to a number of the one or more biosensors having the electric field shunt.

Abstract: A device is provided for reducing NOx emission in the engine exhaust stream for a Diesel engine system. The engine system including, but not limited to an exhaust line having at least a Diesel Oxidation Catalyst (DOC), a Diesel Particulate Filter (DPF) and a Selective Catalyst Reduction (SCR) system. Inside the Diesel Particulate Filter (DPF) a NOx absorber is provided and the NOx absorber being suitable to store the NOx at low temperature and subsequently release the NOx when a target temperature is reached.

Abstract: In a battery charging system for a hybrid vehicle, a user-operated switch is provided for triggering an engine to charge battery at an earlier stage for an extended journey as compared to a normal journey. A sensor is provided to detect a charge state level of the battery, the output of the sensor being compared at with a threshold set by switch.

Abstract: A diesel engine is provided for a motor vehicle. The engine includes, but is not limited to a long route exhaust gas recirculating (LR-EGR) system, in which a Lean NOx Trap (LNT) is located upstream of a diesel particulate filter (DPF).

Abstract: A user-operated switch is provided to enable an engine to operate a generator to charge a battery while the vehicle is parked.

Abstract: A video compression system compresses video frames comprising pixels defined by n-bit color values. Encoder of video compression system determines the difference between a current pixel value and a plurality reference pixel values. Encoder sends difference value to decoder. Decoder determines current pixel value by adjusting a reference pixel color value by delta value.