Abstract: A material sorting system sorts materials utilizing multiple stages of classification and sorting, including a vision system that implements an artificial intelligence system in order to identify or classify each of the materials, and an x-ray fluorescence (“XRF”) system or Laser Induced Breakdown Spectroscopy to perform a subsequent classification and sorting of the remaining materials.

Abstract: A material sorting system sorts materials utilizing a vision system that implements a machine learning system in order to identify or classify each of the materials, which are then sorted into separate groups based on such an identification or classification. The material sorting system can sort material pieces containing contaminants, such as copper from steel.

Abstract: A material sorting system sorts materials utilizing an x-ray fluorescence and/or a vision system that implements a machine learning system in order to identify or classify each of the materials, which are then sorted into separate groups based on such an identification or classification determining that the materials are composed of either wrought aluminum, extruded aluminum, or cast aluminum. The system is capable of sorting between cast aluminum alloys and also between wrought aluminum alloys.

Abstract: Systems and methods for providing an AI assistant to users of a food delivery system. The method includes receiving a user query, wherein the user query is associated with a food delivery system. The method further includes accessing contextual data for the user query. The method further includes generating model input, the model input including the user query and the contextual data for the user query. The method further includes providing model input as input to a machine-learned large language model. The method further includes receiving a query response as an output of the machine-learned large language model processing the model input. The method further includes outputting the query response to the user for display, the query response comprising a carousel of selectable options available through the food delivery system.

Abstract: A material handling system classifies and sorts a heterogeneous mix of materials utilizing an x-ray fluorescence and/or a vision system that implements an artificial intelligence system in order to identify or classify each of the materials, which are then sorted into separate groups as a function of such an identification or classification.

Abstract: A system and method for classifying and sorting a plurality of materials utilizing a machine learning system in order to identify signatures of each of the materials corresponding to elemental compositions specific to each of the materials, which are then sorted into separate groups as a function of such identified signatures.

Abstract: A material handling system sorts mixed materials utilizing a combination of a spectroscopic sensor, such as x-ray fluorescence, and a vision system that implements an artificial intelligence system in order to identify or classify each of the materials, which are then sorted into separate groups based on such an identification or classification. The system is capable of sorting between materials typically found within Zorba, such as wrought, cast, and extrusion aluminum alloys.

Abstract: A material handling system sorts mixed materials utilizing a combination of a spectroscopic sensor, such as x-ray fluorescence, and a vision system that implements an artificial intelligence system in order to identify or classify each of the materials, which are then sorted into separate groups based on such an identification or classification. The system is capable of sorting between materials typically found within Zorba, such as wrought, cast, and extrusion aluminum alloys.

Abstract: A material sorting system sorts materials utilizing an x-ray fluorescence and/or a vision system that implements a machine learning system in order to identify or classify each of the materials, which are then sorted into separate groups based on such an identification or classification determining that the materials are composed of either wrought aluminum, extruded aluminum, or cast aluminum. The system is capable of sorting between cast aluminum alloys and also between wrought aluminum alloys.

Abstract: This invention provides a multi-spot, digitally-addressable X-ray source operable so as to emit X-ray flux from separate spots in the source to separate, defined samples or sample areas outside the source. The x-ray flux maybe used for irradiation or for imaging. The source may be configured with reflective, transmission or forward flux channel anodes. A system made using this source comprises the source itself, a power supply, controls and cooling system for the source, a means to locate the sample array on or near the source and a radiation shielded cabinet. One or more x-ray detectors for measuring dose intensity or for imaging may be included in the system.

Abstract: Systems and methods for classifying and sorting of dark colored and/or black-colored plastic materials utilizing a vision system or one or more sensor systems implemented with one or more medium wavelength infrared cameras whereby the captured image data is process within a machine learning system in order to identify or classify each of the materials, which may then be sorted into separate groups based on such an identification or classification.

Abstract: Systems and methods for classifying and sorting materials in order to produce a collection of materials that are composed of a particular chemical composition in the aggregate. The system may utilize a vision system and one or more sensor systems, which may implement a machine learning system in order to identify or classify each of the materials. The sorting is then performed as a function of the classifications.

Abstract: Systems and methods for classifying and sorting materials in order to produce a collection of materials that are composed of a particular chemical composition in the aggregate. The system may utilize a vision system and one or more sensor systems, which may implement a machine learning system in order to identify or classify each of the materials. The sorting is then performed as a function of the classifications.

Abstract: A material handling system sorts mixed materials utilizing a combination of x-ray fluorescence and/or a vision system that implements an artificial intelligence system in order to identify or classify each of the materials, which are then sorted into separate groups based on such an identification or classification. The system is capable of sorting between materials typically found within Zorba, Zebra, and Twitch.

Abstract: A material sorting system sorts materials utilizing an x-ray fluorescence and/or a vision system that implements a machine learning system in order to identify or classify each of the materials, which are then sorted into separate groups based on such an identification or classification determining that the materials are composed of either wrought aluminum, extruded aluminum, or cast aluminum. The system is capable of sorting between cast aluminum alloys and also between wrought aluminum alloys.

Abstract: A material sorting system sorts materials utilizing a vision system that implements a machine learning system in order to identify or classify each of the materials, which are then sorted into separate groups based on such an identification or classification. The material sorting system can sort material pieces containing contaminants, such as copper from steel.

Abstract: An apparatus for classifying materials utilizing a vision system, which may implement an artificial intelligence system in order to identify or classify each of the materials, which may then be separated from a heap in a scrap yard into separate groups, such as other heaps, based on such an identification or classification. The artificial intelligence system may utilize a neural network, and be previously trained to recognize and classify certain types of materials.

Abstract: A material sorting system sorts materials utilizing a vision system that implements a machine learning system in order to identify or classify each of the materials, which are then sorted into separate groups based on such an identification or classification. The material sorting system can sort material pieces containing contaminants, such as copper from steel.

Abstract: A material sorting system sorts materials utilizing an x-ray fluorescence and/or a vision system that implements a machine learning system in order to identify or classify each of the materials, which are then sorted into separate groups based on such an identification or classification determining that the materials are composed of either wrought aluminum, extruded aluminum, or cast aluminum. The system is capable of sorting between cast aluminum alloys and also between wrought aluminum alloys.

Abstract: Systems and methods for classifying and sorting materials in order to produce a collection of materials that are composed of a particular chemical composition in the aggregate. The system may utilize a vision system and one or more sensor systems, which may implement a machine learning system in order to identify or classify each of the materials. The sorting is then performed as a function of the classifications.