Abstract: A patient support apparatus includes a frame, a support surface, a caregiver control panel, a patient control panel, and a controller. The caregiver control panel includes a lock out control that, when manually activated by a caregiver, locks out one or more particular controls on the patient control panel. The controller is also adapted to automatically lock out the one or more particular controls, irrespective of the state of the lock out control, in response to a triggering event. The triggering event may include one or more of the following: the arming of an exit detection system, the arming of a monitoring system, the passage of a predetermined time period, the use of a scale, the zeroing of the scale, the receipt of a fall risk score for the patient, etc. The caregiver control panel may allow the caregiver to select what patient controls are automatically locked out.

Abstract: A system and method for enhancing inferential accuracy of an artificial neural network during training includes during a simulated training of an artificial neural network identifying channel feedback values of a plurality of distinct channels of a layer of the artificial neural network based on an input of a training batch; if the channel feedback values do not satisfy a channel signal range threshold, computing a channel equalization factor based on the channel feedback values; identifying a layer feedback value based on the input of the training batch; and if the layer feedback value does not satisfy a layer signal range threshold, identifying a composite scaling factor based on the layer feedback values; during a non-simulated training of the artificial neural network, providing training inputs of: the training batch; the composite scaling factor; the channel equalization factor; and training the artificial neural network based on the training inputs.

Abstract: A computer implemented method is disclosed herein for monitoring and determining a quality level of incoming raw material from one or more sources. The method includes (1) receiving visual data associated with the incoming raw material; (2) determining an indication of quality level associated with the incoming raw material; and (3) transmitting, to at least one of a graphical user interface (GUI) and a computer log, the indication of quality level and at least one timestamp associated with the visual data. The visual data may include a plurality of images received from one or more cameras configured for monitoring the incoming raw material. A related system is also disclosed herein.

Abstract: A technique for compressing an analog content addressable memory (CAM) array is provided. Random input data is applied to the analog CAM array, and an average measure of similarity is calculated for each output row of the analog CAM array. Rows of the analog CAM array that have measures of similarity that are close to each other can be eliminated, such as by removing similar rows or merging together similar rows. Thus, the analog CAM array size can be reduced without a loss in accuracy of a model stored on the analog CAM array.

Abstract: Embodiments of the disclosure provide a system, method, or computer readable medium for providing a differentiable content addressable memory (aCAM) that implements an analog input analog storage and analog output learning memory. The analog output of the differentiable CAM can provide input to a learning algorithm, which may compute the gradients in comparison to historic values and reduce data inaccuracies and power consumption.

Abstract: Examples of the presently disclosed technology provide hardware accelerators (referred to herein as treeShap-aCAMs) that compute Shapley values with improved speed/efficiency leveraging the unique parallel search and analog capabilities of aCAMs. The parallel search capability of a treeShap-aCAM enables evaluation of all root-to-leaf paths of a decision tree (programmed into separate rows of the treeShap-aCAM) in a single clock cycle, greatly reducing time required to compute Shapley values. Relatedly, a treeShap-aCAM's ability to store/evaluate analog values (as opposed to merely binary values), can reduce footprint and hardware (e.g., reduce the number of CAM cells) required to perform Shapley value computations. Accordingly, treeShap-aCAMs can compute Shapley values more rapidly/efficiently than other types of hardware accelerators that e.g., implement algorithms that traverse root-to-leaf paths of decision trees node-to-node.

Abstract: A crossbar array includes a number of memory elements. An analog-to-digital converter (ADC) is electronically coupled to the vector output register. A digital-to-analog converter (DAC) is electronically coupled to the vector input register. A processor is electronically coupled to the ADC and to the DAC. The processor may be configured to determine whether division of input vector data by output vector data from the crossbar array is within a threshold value, and if not within the threshold value, determine changed data values as between the output vector data and the input vector data, and write the changed data values to the memory elements of the crossbar array.

Abstract: Systems and methods described herein include implementation of road surface-based localization techniques for advanced vehicle features and control methods including advanced driver assistance systems (ADAS), lane drift detection, passing guidance, bandwidth conservation and caching based on road data, vehicle speed correction, suspension and vehicle system performance tracking and control, road estimation calibration, and others.

Abstract: Systems and methods described herein include implementation of road surface-based localization techniques for advanced vehicle features and control methods including advanced driver assistance systems (ADAS), lane drift detection, passing guidance, bandwidth conservation and caching based on road data, vehicle speed correction, suspension and vehicle system performance tracking and control, road estimation calibration, and others.

Abstract: Embodiments of the disclosure provide a system, method, or computer readable medium for programming a target analog voltage range of an analog content addressable memory (aCAM) row. The method may comprise calculating a threshold current sufficient to switch a sense amplifier (SA) on and discharge a match line (ML) connected to a cell of the aCAM; and based on calculating the threshold current, programming a match threshold value by setting a memristor conductance in association with the target analog voltage range applied to a data line (DL) input. The target analog voltage range may comprise a target analog voltage range vector.

Abstract: A system and method for enhancing inferential accuracy of an artificial neural network during training includes during a simulated training of an artificial neural network identifying channel feedback values of a plurality of distinct channels of a layer of the artificial neural network based on an input of a training batch; if the channel feedback values do not satisfy a channel signal range threshold, computing a channel equalization factor based on the channel feedback values; identifying a layer feedback value based on the input of the training batch; and if the layer feedback value does not satisfy a layer signal range threshold, identifying a composite scaling factor based on the layer feedback values; during a non-simulated training of the artificial neural network, providing training inputs of: the training batch; the composite scaling factor; the channel equalization factor; and training the artificial neural network based on the training inputs.

Abstract: Disclosed herein is system for providing simultaneous machine vision illumination control and human vision illumination control. The system includes a first illumination control output that is configured to provide first illumination timing information for a first illumination source. The system also includes a second illumination control output configured to provide second illumination timing information for a second illumination source. The first illumination source is configured to provide a first frequency band of illumination for machine vision. The second illumination source is configured to provide a second frequency band of illumination for human vision. The first and second frequency bands are mutually exclusive. A related system is also disclosed herein.

Abstract: Disclosed herein is system for providing simultaneous machine vision illumination control and human vision illumination control. The system includes a first illumination control output that is configured to provide first illumination timing information for a first illumination source. The system also includes a second illumination control output configured to provide second illumination timing information for a second illumination source. The first illumination source is configured to provide a first frequency band of illumination for machine vision. The second illumination source is configured to provide a second frequency band of illumination for human vision. The first and second frequency bands are mutually exclusive. A related system is also disclosed herein.

Abstract: The invention relates to a method for a computer device, for detecting an optimal candidate compound based on a plurality of samples comprising a cell line and one or more biomarkers, and a plate map configuration, wherein the plate map configuration is providing locations of samples comprising cell lines exposed to one or more biomarkers and different concentrations of a candidate compound forming at least one concentration gradient, the candidate compound being comprised in a plurality of candidate compounds, said method comprising generating (310) phenotypic profiles of each concentration gradient of each of the plurality of candidate compounds at a plurality of successive points in time to form a plurality of compound profiles, wherein generating phenotypic profiles comprises the steps obtaining (312) image data depicting each sample comprised in the concentration gradient, generating (314) a class-label and a class for each cell of the samples based on the image data, detecting (320) the optimal candidat

Abstract: The invention relates to a method for a computer device, for detecting an optimal candidate compound based on a plurality of samples comprising a cell line and one or more biomarkers, and a plate map configuration, wherein the plate map configuration is providing locations of samples comprising cell lines exposed to one or more biomarkers and different concentrations of a candidate compound forming at least one concentration gradient, the candidate compound being comprised in a plurality of candidate compounds, said method comprising generating (310) phenotypic profiles of each concentration gradient of each of the plurality of candidate compounds at a plurality of successive points in time to form a plurality of compound profiles, wherein generating phenotypic profiles comprises the steps obtaining (312) image data depicting each sample comprised in the concentration gradient, generating (314) a class-label and a class for each cell of the samples based on the image data, detecting (320) the optimal candidat

Abstract: Disclosed herein is system for providing simultaneous machine vision illumination control and human vision illumination control. The system includes a first illumination control output that is configured to provide first illumination timing information for a first illumination source. The system also includes a second illumination control output configured to provide second illumination timing information for a second illumination source. The first illumination source is configured to provide a first frequency band of illumination for machine vision. The second illumination source is configured to provide a second frequency band of illumination for human vision. The first and second frequency bands are mutually exclusive. A related system is also disclosed herein.

Abstract: A computer implemented method is disclosed herein for monitoring and determining a quality level of incoming raw material from one or more sources. The method includes (1) receiving visual data associated with the incoming raw material; (2) determining an indication of quality level associated with the incoming raw material; and (3) transmitting, to at least one of a graphical user interface (GUI) and a computer log, the indication of quality level and at least one timestamp associated with the visual data. The visual data may include a plurality of images received from one or more cameras configured for monitoring the incoming raw material. A related system is also disclosed herein.

Abstract: The invention relates to a method for a computer device, for detecting an optimal candidate compound based on a plurality of samples comprising a cell line and one or more biomarkers, and a plate map configuration, wherein the plate map configuration is providing locations of samples comprising cell lines exposed to one or more biomarkers and different concentrations of a candidate compound forming at least one concentration gradient, the candidate compound being comprised in a plurality of candidate compounds, said method comprising generating (310) phenotypic profiles of each concentration gradient of each of the plurality of candidate compounds at a plurality of successive points in time to form a plurality of compound profiles, wherein generating phenotypic profiles comprises the steps obtaining (312) image data depicting each sample comprised in the concentration gradient, generating (314) a class-label and a class for each cell of the samples based on the image data, detecting (320) the optimal candidat

Abstract: A saw blade comprises an elongated band having a multiplicity of teeth sets. In a preferred embodiment, each teeth set comprises a modified raker set of teeth comprising a continuous series of right, left, raker, right and left teeth, each having a different pitch. Each tooth preferably has a transverse tooth face substantially perpendicular to the feed direction of the blade and also has a notch. In one embodiment, the left and right teeth may have a uniform hook angle and each tooth of the given blade set has the same lateral blade displacement.

Abstract: A frozen or refrigerated dough product suitable for making a biscuit product is described. The dough product includes pectin, and the biscuit product has an improved texture in comparison to a corresponding biscuit product made without pectin.