Abstract: A method for accessing a computer-numerically-controlled machine can include receiving a command to be executed by the computer-numerically-controlled machine. A hardware state of a component in the computer-numerically-controlled machine can be determined by receiving, from the component, data indicative of the hardware state. An origin of the command including a user identification of a user who sent the command and/or a machine identification of a device that sent the command can be determined. Whether the computer-numerically-controlled machine is allowed to execute the command can be determined by applying a set of rules and based on the hardware state and/or the origin of the command. In response to determining that the computer-numerically-controlled machine is allowed to execute the command, the command can be executed at the computer-numerically-controlled machine.

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: Provided herein are genetically engineered gas vesicle expression systems (GVES) that are configured to express gas vesicles (GVs) in a mammalian cell, related gas vesicle polynucleotide constructs, gas vesicle reporting genetic circuits, vectors, genetically engineered mammalian cells, non-human mammalian hosts, compositions, methods and systems, which in several embodiments can be used together with contrast-enhanced imaging techniques to detect and report biological events in an imaging target site comprising a mammalian cell and/or organism.

Abstract: A moveable head of a computer numerically controlled machine may deliver electromagnetic energy sufficient to cause a first change in a material at least partially contained within an interior space of the CNC machine. A feature of the material may be imaged using at least one camera present inside the interior space to update a position of the material, and the moveable head may be aligned to deliver electromagnetic energy sufficient to cause a second change in the material such that the second change is positioned on the material consistent with the first change and with an intended final appearance of the material. Methods, systems, and article of manufacture are described.

Abstract: Disclosed embodiments include a CNC machine comprising: (i) a laser head; (ii) a housing defining an interior space bounded by an interior floor, interior walls, and an openable lid that has a lid camera assembly with a camera for capturing images of the interior space; (iii) a material bed configured to support material placed within the interior space; (iv) a first material passthrough opening on a first side of the housing, wherein the first material passthrough opening comprises a curtain, wherein the curtain is arranged to block laser light from exiting through the first material passthrough opening while material is inserted through the first material passthrough opening; and (v) an exhaust port configured to route fumes from within the interior space to an air filter separate from the CNC machine.

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 method for computer numerically controlled processing may include receiving configurations for a fabrication in which a computer numerically controlled machine processes a material to achieve one or more designs. An analysis may be performed to determine whether a thermal event occurs during the fabrication. The analysis may include performing one or more of a time-variant simulation and a time-invariant simulation of the fabrication. The thermal event may include one or more regions of the material exhibiting an undesirable response to the electromagnetic energy delivered to the material. One or more outputs may be generated based on the result of the thermal verification. The outputs may include a visualization of the quantity of energy exposure across the material, an alert if a thermal event is determined to occur during the fabrication, and corrective actions for resolving potential thermal events.

Abstract: A method for calibrating a computer-numerically-controlled machine can include capturing one or more images of at least a portion of the computer-numerically-controlled machine. The one or more images can be captured with at least one camera located inside an enclosure containing a material bed. A mapping relationship can be created which maps a pixel in the one or more images to a location within the computer-numerically controlled machine. The creation of the mapping relationship can include compensating for a difference in the one or more images relative to one or more physical parameters of the computer-numerically-controlled machine and/or a material positioned on the material bed. Related systems and/or articles of manufacture, including computer program products, are also provided.

Abstract: A weldable strain sensor assembly configured to be joined to an instrumented component includes: a stand-off; a substrate disposed on top of the stand-off; and a sensing component disposed on a top or a bottom of the substrate; wherein the combination of the stand-off and the substrate are configured to suspend the sensing component over the instrumented component with a defined gap between the instrumented component and at least one of: the substrate; and, the sensing component.

Abstract: A method for computer numerically controlled processing may include generating a user interface to enable the configuration of an edge treatment. The user interface may also be generated to enable the configuration of a design corresponding to a combination of the first object and the second object generated by applying one of a plurality of Boolean operation. A computer numerically controlled machine may be configured to deliver an electromagnetic energy in order to effect, in a material, one or more changes corresponding to the edge treatment and/or the design configured by the user. For example, the one or more changes corresponding to the edge treatment may include a variable depth engraving along at least a portion of a perimeter of a material.

Abstract: A method may include generating, by a camera having a view of an interior portion of a computer-numerically-controlled machine, an image comprising a pattern. The image can be transformed into a set of machine instructions for controlling the computer-numerically-controlled machine to effect a change in a material. The change can correspond to at least a portion of the pattern. At least one machine instruction from the set of machine instructions can be executed to control the computer-numerically-controlled machine to effect at least a portion of the change. The execution can include operating, in accordance with the at least one machine instruction, a tool coupled with the computer-numerically-controlled machine. The tool can be configured to effect the change on the material. Related systems and articles of manufacture, including computer program products, are also provided.

Abstract: Disclosed embodiments include laser cutting tools. Some laser cutting tool embodiments include (i) at least one laser source configured to generate at least one laser beam having sufficient power to cut material, (ii) one or more processors, and (iii) tangible, non-transitory computer-readable memory comprising program instructions executable by the one or more processors to cause the laser cutting tool to perform laser cutting tool functions. In some embodiments, the functions include causing a cutting path to be projected onto a surface of a material, and controlling the at least one laser source to apply the at least one laser beam onto the material sufficient to implement a cut along the cutting path projected onto the surface of the material.

Abstract: A method for accessing a computer-numerically-controlled machine can include receiving a command to be executed by the computer-numerically-controlled machine. A hardware state of a component in the computer-numerically-controlled machine can be determined by receiving, from the component, data indicative of the hardware state. An origin of the command including a user identification of a user who sent the command and/or a machine identification of a device that sent the command can be determined. Whether the computer-numerically-controlled machine is allowed to execute the command can be determined by applying a set of rules and based on the hardware state and/or the origin of the command. In response to determining that the computer-numerically-controlled machine is allowed to execute the command, the command can be executed at the computer-numerically-controlled machine.

Abstract: A force sensor includes: a substrate that forms a three-dimensional, 3D, body disposed about a central z-axis of an r, ?, z-cylindrical coordinate system, the 3D body having a first surface, an second surface, and a sidewall disposed between the first and second surfaces, wherein the sidewall at least partially encloses a void in the 3D body that extends from and through the first surface to and through the second surface; an electrical circuit disposed on either one of the first surface or the second surface, the electrical circuit having at least one strain gauge, and a plurality of electrical terminals electrically connected to the at least one strain gauge; wherein the sidewall includes at least one strain focusing feature; wherein the at least one strain gauge is disposed proximate to the at least one strain focusing feature.

Abstract: Embodiments include one or more computing systems configured to perform functions comprising: (i) receiving a natural language description of a desired fabrication result; (ii) causing a software engine to generate machine-created rendering instructions based on the natural language description of the desired fabrication result; and (iii) executing, by a laser CNC machine, the machine-created rendering instructions to generate a rendered fabrication result.

Abstract: A moveable head of a computer numerically controlled machine may deliver electromagnetic energy sufficient to cause a first change in a material at least partially contained within an interior space of the CNC machine. A feature of the material may be imaged using at least one camera present inside the interior space to update a position of the material, and the moveable head may be aligned to deliver electromagnetic energy sufficient to cause a second change in the material such that the second change is positioned on the material consistent with the first change and with an intended final appearance of the material. Methods, systems, and article of manufacture are described.

Abstract: An instrumented pin sensor includes: a support body in the form of a pin having an axial cross section that is only partially circular, forming a first outer surface with a profile that follows the partially circular axial cross section, and a second outer surface with a profile that does not follow the partially circular axial cross section; a strain sensing electrical circuit having at least one strain sensing gauge, the strain sensing electrical circuit fixedly disposed on the second outer surface; a plurality of electrical leads having a first end electrically connected to the strain sensing electrical circuit and fixedly attached to the second outer surface of the support body, and a second end extending from the support body; wherein the second outer surface runs the entire length of the support body with material of the support body only on an underside of the second outer surface.

Abstract: A method may include projecting, onto a surface within a computer numerically controlled machine, a structured light having a known property. One or more sensors may generate an image of the structured light projected on the surface within the computer numerically controlled machine. One or more characteristics of the surface may be determined by comparing a property of the structured light shown in the image to the known property of the structured light. Examples of characteristics include a size, a distance to the surface, a height, a thickness, an angle of the surface, edges, surface properties, jigs, fiducial alignment markers, patterns encoding data, and visual designs on the surface of the material that are intended for reproductions. A surface map indicating the characteristics of the surface at various locations may be generated to enable, for example, a calibration, alignment, and/or optimization of the computer numerically controlled machine.