Abstract: Disclosed herein are compounds of formula I: or a pharmaceutically acceptable salt thereof, where the variables are as defined herein. These compounds are useful in treating RET associated cancers. Formulations containing the compounds of formula I and methods of making the compounds of formula I are also disclosed.

Abstract: Provided herein are RET kinase inhibitors according to the formula: pharmaceutically acceptable salts thereof, pharmaceutical compositions thereof, and methods for their use in the treatment of diseases that can be treated with a RET kinase inhibitor, including RET-associated diseases and disorders. A, R1, n, X1, X2, X3, X4, and R2 have the meanings given in the specification.

Abstract: A vaporizer device includes various modular components. The vaporizer device includes a first subassembly. The first subassembly includes a cartridge connector that secures a vaporizer cartridge to the vaporizer device and includes at least two receptacle contacts that electrically communicate with the vaporizer cartridge. The vaporizer device includes a second subassembly. The second subassembly includes a skeleton defining a rigid tray that retains at least a power source. The vaporizer device also includes a third subassembly. The third subassembly includes a plurality of charging contacts that supply power to the power source, and an end cap that encloses an end of the vaporizer device.

Abstract: An integrated circuit (IC) package with an embedded heat spreader in a redistribution layer (RDL) is provided. IC packaging facilitates a high density package for ICs, including monolithic microwave integrated circuits (MMICs). However, IC packaging may result in reduced heat removal from an IC, decreasing radio frequency (RF) circuit performance. In an exemplary aspect, an IC package is provided which incorporates an embedded heat spreader within a dielectric layer of an RDL coupled to an IC die. The embedded heat spreader provides efficient heat transfer, robust RF performance, and operation through millimeter wave (mmW) frequencies, all in a miniature low-cost, low-profile surface mountable (SM) package.

Abstract: An additive manufacturing system comprises an apparatus arranged to distribute layer of metallic powder across a build plane and a power source arranged to emit a beam of energy at the build plane and fuse the metallic powder into a portion of a part. The system includes a processor configured to steer the beam of energy across the build plane and receive data generated by one or more sensors that detect electromagnetic energy emitted from the build plane when the beam of energy fuses the metallic powder. The received data is converted into one or more parameters that indicate one or more conditions at the build plane while the beam of energy fuses the metallic powder. The one or more parameters are used as input into a machine learning algorithm to detect one or more defects in the fused metallic powder.

Abstract: An additive manufacturing system comprises an apparatus arranged to distribute layer of metallic powder across a build plane and a power source arranged to emit a beam of energy at the build plane and fuse the metallic powder into a portion of a part. The system includes a processor configured to steer the beam of energy across the build plane and receive data generated by one or more sensors that detect electromagnetic energy emitted from the build plane when the beam of energy fuses the metallic powder. The received data is converted into one or more parameters that indicate one or more conditions at the build plane while the beam of energy fuses the metallic powder. The one or more parameters are used as input into a machine learning algorithm to detect one or more defects in the fused metallic powder.

Abstract: In some aspects, the additive manufacturing system may access, by a processor of an additive manufacturing system, a machine learning model that is trained to identify defects within a build plane. Also, the additive manufacturing system may capture, by an imaging system of the additive manufacturing system, an image of a build plane of the additive manufacturing system. The build plane can contain an object being manufactured through an additive manufacturing process. In addition, the additive manufacturing system may provide, by the processor, the captured image as an input to the machine learning model. Moreover, the additive manufacturing system may receive, by the processor, an output from the machine learning model identifying a defect in the build plane.

Abstract: An additive manufacturing system comprises an apparatus arranged to distribute layer of metallic powder across a build plane and a power source arranged to emit a beam of energy at the build plane and fuse the metallic powder into a portion of a part. The system includes a processor configured to steer the beam of energy across the build plane and receive data generated by one or more sensors that detect electromagnetic energy emitted from the build plane when the beam of energy fuses the metallic powder. The received data is converted into one or more parameters that indicate one or more conditions at the build plane while the beam of energy fuses the metallic powder. The one or more parameters are used as input into a machine learning algorithm to detect one or more defects in the fused metallic powder.