Abstract: Techniques for processing ore include the steps of causing an imaging capture system to record a plurality of images of a stream of ore fragments en route from a first location in an ore processing facility to a second location in the ore processing facility; correlating the plurality of images of the stream of ore fragments with at least one or more characteristics of the ore fragments using a machine learning model that includes a plurality of ore parameter measurements associated with the one or more characteristics of the ore fragments; determining, based on the correlation, at least one of the one or more characteristics of the ore fragments; and generating, for display on a user computing device, data indicating the one or more characteristics of the ore fragments or data indicating an action or decision based on the one or more characteristics of the ore fragments.

Abstract: Techniques for improving a blast pattern at a mining site include conducting an initial blast and recording the initial blast as a high speed optical video. The high speed optical video, and the blast pattern used in the initial blast are sent as inputs to a machine learning model, which correlates one or more characteristics of the region being blasted with measurements associated with characteristics of the region being blasted obtained from the high speed optical video. The machine learning model can then determine an improved blast pattern based on the correlation made. This improved blast pattern can be displayed on a user computing device, or transmitted to a drilling system to automatically drill the improved blast pattern for subsequent blasts.

Abstract: This disclosure describes a system and method for generating a subsurface model representing lithological characteristics and attributes of the subsurface of a celestial body or planet. By automatically ingesting data from many sources, a machine learning system can infer information about the characteristics of regions of the subsurface and build a model representing the subsurface rock properties. In some cases, this can provide information about a region using inferred data, where no direct measurements have been taken. Remote sensing data, such as aerial or satellite imagery, gravimetric data, magnetic field data, electromagnetic data, and other information can be readily collected or is already available at scale.

Abstract: Techniques for improving a blast pattern at a mining site include conducting an initial blast and recording the initial blast as a high speed optical video. The high speed optical video, and the blast pattern used in the initial blast are sent as inputs to a machine learning model, which correlates one or more characteristics of the region being blasted with measurements associated with characteristics of the region being blasted obtained from the high speed optical video. The machine learning model can then determine an improved blast pattern based on the correlation made. This improved blast pattern can be displayed on a user computing device, or transmitted to a drilling system to automatically drill the improved blast pattern for subsequent blasts.

Abstract: This disclosure describes a system and method for generating a subsurface model representing lithological characteristics and attributes of the subsurface of a celestial body or planet. By automatically ingesting data from many sources, a machine learning system can infer information about the characteristics of regions of the subsurface and build a model representing the subsurface rock properties. In some cases, this can provide information about a region using inferred data, where no direct measurements have been taken. Remote sensing data, such as aerial or satellite imagery, gravimetric data, magnetic field data, electromagnetic data, and other information can be readily collected or is already available at scale.

Abstract: Techniques for processing ore include the steps of causing an imaging capture system to record a plurality of images of a stream of ore fragments en route from a first location in an ore processing facility to a second location in the ore processing facility; correlating the plurality of images of the stream of ore fragments with at least one or more characteristics of the ore fragments using a machine learning model that includes a plurality of ore parameter measurements associated with the one or more characteristics of the ore fragments; determining, based on the correlation, at least one of the one or more characteristics of the ore fragments; and generating, for display on a user computing device, data indicating the one or more characteristics of the ore fragments or data indicating an action or decision based on the one or more characteristics of the ore fragments.

Abstract: Techniques for improving a blast pattern at a mining site include conducting an initial blast and recording the initial blast as a high speed optical video. The high speed optical video, and the blast pattern used in the initial blast are sent as inputs to a machine learning model, which correlates one or more characteristics of the region being blasted with measurements associated with characteristics of the region being blasted obtained from the high speed optical video. The machine learning model can then determine an improved blast pattern based on the correlation made. This improved blast pattern can be displayed on a user computing device, or transmitted to a drilling system to automatically drill the improved blast pattern for subsequent blasts.

Abstract: The disclosure provides an apparatus that includes: a stage defining a build plane; a micro light emitting diode (?LED) array including multiple pixels and configured to emit ultraviolet (UV) light towards the build plane; a two-dimensional (2-D) voice coil manipulator mechanically coupled to the ?LED array and configured to align the pixels of the ?LED array with the build plane; and a control module programmed to cause the ?LED array to illuminate a UV curable material at the build plane to form a stack of layers of the three-dimensional object, wherein the apparatus adjusts a UV illumination pattern for the layers of the UV curable material by varying an output intensity of UV light from the pixels of the ?LED array and by varying an alignment between the ?LED array and the build plane using the 2-D voice coil manipulator.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for preparing a concrete mixture. One of the methods includes controlling an ingredient metering system to measure and add a plurality of ingredients to a concrete mixture, measuring characteristics of at least one ingredient of the ingredients using a particle analyzer, determining an estimated rheometry measurement of for the concrete mixture, obtaining an actual rheometry measurement of the concrete mixture, and selectively controlling the ingredient metering system to add one or more additional ingredients to the concrete mixture based on a comparison of the estimated rheometry measurement with the actual rheometry measurement.

Abstract: Techniques for processing ore include the steps of causing an imaging capture system to record a plurality of images of a stream of ore fragments en route from a first location in an ore processing facility to a second location in the ore processing facility; correlating the plurality of images of the stream of ore fragments with at least one or more characteristics of the ore fragments using a machine learning model that includes a plurality of ore parameter measurements associated with the one or more characteristics of the ore fragments; determining, based on the correlation, at least one of the one or more characteristics of the ore fragments; and generating, for display on a user computing device, data indicating the one or more characteristics of the ore fragments or data indicating an action or decision based on the one or more characteristics of the ore fragments.

Abstract: Methods, systems, and apparatus, for performing additive manufacturing with concrete. One example is an additive manufacturing print head. The print head includes a body defining an internal flow path, a print nozzle at an outlet of the internal flow path, an auger disposed within the internal flow path, a first microwave emitter, and a second microwave emitter. The auger is operable to convey a concrete mixture towards the print nozzle. The first microwave emitter is operable to alter a viscosity of the concrete moisture within the flow path by directing first microwave energy towards the internal flow path. The second microwave emitter is arranged to direct second microwave energy towards the concrete mixture when it exits the print nozzle.

Abstract: Methods, systems, and apparatus, for performing pultrusion molding with concrete. One exemplary method includes conveying a textile material through a concrete infusion system to provide a concrete infused textile material (CITM). Heating and shaping the CITM by conveying the CITM through a microwave chamber comprising an electrically non-conductive die disposed therein, the microwave chamber operable to heat concrete infused in the textile material by irradiating the CITM with microwave energy as the CITM is conveyed through the microwave chamber, and the die operable to shape the CITM as the CITM is conveyed through the microwave chamber. Cooling the CITM by conveying the CITM through a cool down chamber operable to maintain heat in the CITM as the CITM is conveyed through the microwave chamber allowing the concrete to cure while a temperature of the CITM is reduced.

Abstract: Devices and methods for atmospheric water harvesting may be useful to obtain drinking water from air of moderate humidity, in a process driven directly by solar energy. Devices feature a recirculating stream of a fluid, such as air, and include heat recuperation to heat fluid in one portion of the stream using heat contained in another portion of the stream. Passive heat sinking is sufficient to condense liquid water, without need for refrigeration. The objective of the technologies and inventions is to enable affordable household products that improve drinking water access, with a focus on those currently without access to safely managed drinking water.

Abstract: This disclosure describes a system and method for generating a subsurface model representing lithological characteristics and attributes of the subsurface of a celestial body or planet. By automatically ingesting data from many sources, a machine learning system can infer information about the characteristics of regions of the subsurface and build a model representing the subsurface rock properties. In some cases, this can provide information about a region using inferred data, where no direct measurements have been taken. Remote sensing data, such as aerial or satellite imagery, gravimetric data, magnetic field data, electromagnetic data, and other information can be readily collected or is already available at scale.

Abstract: Systems and apparatus for gas sensing including: a sample inlet; a first sorbent tube and a second sorbent tube each in fluidic communication with the sample inlet, wherein the first sorbent tube is sensitive to a first set of gas analytes and the second sorbent tube is sensitive to a second, different set of gas analytes; an array of gas sensors housed in a chamber that is in fluidic communication with the first sorbent tube and the second sorbent tube; and a desorption system configured to selectively desorb and direct contents from each of the first sorbent tube and the second sorbent tube into the chamber housing the array of gas sensors at different times. Methods for gas sensing are also disclosed.

Abstract: Techniques for improving a blast pattern at a mining site include conducting an initial blast and recording the initial blast as a high speed optical video. The high speed optical video, and the blast pattern used in the initial blast are sent as inputs to a machine learning model, which correlates one or more characteristics of the region being blasted with measurements associated with characteristics of the region being blasted obtained from the high speed optical video. The machine learning model can then determine an improved blast pattern based on the correlation made. This improved blast pattern can be displayed on a user computing device, or transmitted to a drilling system to automatically drill the improved blast pattern for subsequent blasts.

Abstract: Techniques for processing ore include the steps of causing an imaging capture system to record a plurality of images of a stream of ore fragments en route from a first location in an ore processing facility to a second location in the ore processing facility; correlating the plurality of images of the stream of ore fragments with at least one or more characteristics of the ore fragments using a machine learning model that includes a plurality of ore parameter measurements associated with the one or more characteristics of the ore fragments; determining, based on the correlation, at least one of the one or more characteristics of the ore fragments; and generating, for display on a user computing device, data indicating the one or more characteristics of the ore fragments or data indicating an action or decision based on the one or more characteristics of the ore fragments.