Abstract: The present disclosure relates to methods for producing oxygenated terpenoids, and preparation of compositions and formulations thereof. Polynucleotides, derivative enzymes, and host cells for use in such methods are also provided.

Abstract: The present invention relates to methods for producing oxygenated terpenoids. Polynucleotides, derivative enzymes, and host cells for use in such methods are also provided.

Abstract: The present disclosure relates to methods for producing oxygenated terpenoids, and preparation of compositions and formulations thereof. Polynucleotides, derivative enzymes, and host cells for use in such methods are also provided.

Abstract: Embodiments of the disclosed technologies receive a first-party trained model and a first-party data set from a first-party system into a protected environment, receive a first third-party data set into the protected environment, and, in a data clean room, joining the first-party data set and the first third-party data set to create a joint data set for the particular segment, tuning a first-party trained model with the joint data set to create a third-party tuned model, sending model parameter data learned in the data clean room as a result of the tuning to an aggregator node, receiving a globally tuned version of the first-party trained model from the aggregator node, applying the globally tuned version of the first-party trained model to a second third-party data set to produce a scored third-party data set, and providing the scored third-party data set to a content distribution service of the first-party system.

Abstract: Techniques for a flexible data security and machine learning system for merging third-party data are provided. In one technique, the system receives a data set from a third-party entity and receives selection data that indicates that the third-party entity selected a set of data security policies that includes an encryption option and a data mixing option from among multiple data mixing options. In response to receiving the selection data, the system stores data that associates the set of data security policies with the data set, encrypts the data set according to the encryption option, and persistently stores the encrypted data set. Later, the system decrypts the encrypted data set in volatile memory, generates, based on the data mixing option, training data based on the decrypted version of the data set, trains a machine-learned model based on the training data, and stores the machine-learned model in association with the data set.

Abstract: A microelectronic assembly and a method of forming same. The assembly includes: first and second microelectronic structures; and an interface layer between the two microelectronic structures including dielectric portions in registration with dielectric layers of each of the microelectronic structures, and electrically conductive portions in registration with electrically conductive structures of each of the microelectronic structures, wherein the dielectric portions include an oxide of a metal, and the electrically conductive portions include the metal.

Abstract: Assemblies and methods for modulating (e.g., near) infrared radiation are provided. Exemplary assemblies include a composite material interposed between a first substrate and a second substrate. The composite material includes plasmonic nanoparticles (e.g., nanoplates) dispersed in a nematic liquid crystal.

Abstract: Gallium nitride (GaN) integrated circuit technology with multi-layer epitaxy and layer transfer is described. In an example, an integrated circuit structure includes a first channel structure including a plurality of alternating first channel layers and second channel layers, the first channel layers including gallium and nitrogen, and the second layers including gallium, aluminum and nitrogen. A second channel structure is bonded to the first channel structure. The second channel structure includes a plurality of alternating third channel layers and fourth channel layers, the third channel layers including gallium and nitrogen, and the fourth layers including gallium, aluminum and nitrogen.

Abstract: Gallium nitride (GaN) layer transfer and regrowth for integrated circuit technology is described. In an example, an integrated circuit structure includes a substrate. An insulator layer is over the substrate. A device layer is directly on the insulator layer. The device layer has a thickness of less than approximately 500 nanometers.

Abstract: In an example, a plurality of potential feed objects are obtained. An identification of a user performing a navigation command in a user interface is also obtained, the navigation command causing a feed to be displayed or updated. The identification of the user and the plurality of potential feed objects are fed to a machine learned feed object ranking model, the feed object ranking model having been trained via a machine learning algorithm to calculate a score for each of the potential feed objects, the score being based on a combination of a likelihood that the user will perform an interaction, via the user interface, on the potential feed object, likelihoods that the user's interaction will cause one or more downstream events by other users, and a value of the one or more downstream events to a social networking service. The plurality of feed objects are ranked by their scores.

Abstract: In various aspects and embodiments, the invention relates to bacterial strains and methods for making terpene and terpenoid products. The invention provides bacterial strains with improved carbon flux through the MEP pathway, to thereby increase terpene and/or terpenoid product yield by fermentation with carbon sources such as glucose.

Abstract: Techniques for a flexible data security and machine learning system for merging third-party data are provided. In one technique, the system receives a data set from a third-party entity and receives selection data that indicates that the third-party entity selected a set of data security policies that includes an encryption option and a data mixing option from among multiple data mixing options. In response to receiving the selection data, the system stores data that associates the set of data security policies with the data set, encrypts the data set according to the encryption option, and persistently stores the encrypted data set. Later, the system decrypts the encrypted data set in volatile memory, generates, based on the data mixing option, training data based on the decrypted version of the data set, trains a machine-learned model based on the training data, and stores the machine-learned model in association with the data set.

Abstract: An integrated circuit interconnect structure includes a metallization level above a first device level. The metallization level includes an interconnect structure coupled to the device structure, a conductive cap including an alloy of a metal of the interconnect structure and either silicon or germanium on an uppermost surface of the interconnect structure. A second device level above the conductive cap includes a transistor coupled with the conductive cap. The transistor includes a channel layer including a semiconductor material, where at least one sidewall of the conductive cap is co-planar with a sidewall of the channel layer. The transistor further includes a gate on a first portion of the channel layer, where the gate is between a source region and a drain region, where one of the source or the drain region is in contact with the conductive cap.

Abstract: In various aspects and embodiments, the invention relates to bacterial strains and methods for making terpene and terpenoid products. The invention provides bacterial strains with improved carbon flux through the MEP pathway, to thereby increase terpene and/or terpenoid product yield by fermentation with carbon sources such as glucose.

Abstract: The present subject matter described herein relates to a Magnetically Augmented Plasmonic Tweezer (MAPT), a method for fabrication of the MAPT, and a method for trapping and maneuvering one or more colloidal particles inside a fluid. The fluid may correspond to a fluid inside a microfluidic device or a biological fluid. The MAPT can comprise a helical support structure to provide maneuverability in fluid. Further, a magnetic component is integrated in the MAPT for motion control. Plasmonic nanostructures are integrated in the MAPT for optical trapping of particles.

Abstract: The present disclosure relates to methods for producing oxygenated terpenoids, and preparation of compositions and formulations thereof. Polynucleotides, derivative enzymes, and host cells for use in such methods are also provided.

Abstract: A method for directly writing metal traces on a wide range of substrate materials is disclosed. The method includes writing a pattern of particle-free metal-salt-based ink on the substrate followed by a plasma-based treatment to remove the non-metallic components of the ink and decompose its metal salt into pure metal. The ink is based on a multi-part solvent whose components differ in at least one of evaporation rate, surface tension, and viscosity, which improves the manner in which the ink is converted into its metal constituent via the plasma treatment. In some embodiments, a microplasma is used for post-treatment of the deposited ink, where the plasma properties are controlled to provide different material properties, such as porosity and effective resistivity, in different regions of the metal pattern.

Abstract: The present disclosure relates to methods for producing oxygenated terpenoids, and preparation of compositions and formulations thereof. Polynucleotides, derivative enzymes, and host cells for use in such methods are also provided.

Abstract: A plurality of potential feed objects and corresponding identifications of actors who performed a user interface action that caused a corresponding potential feed object to be generated are obtained. The plurality of potential feed objects and corresponding actor identifications are then fed into a machine learned feed object ranking model, with the machine learned feed object ranking model having been trained via a machine learning algorithm to calculate a score for each of the potential feed objects. The score is based on a combination of a likelihood that the user will perform an interaction, via the user interface, on the potential feed object, likelihood that the user's interaction will cause one or more downstream events by other users, and likelihood that a response from a viewer will cause the actor corresponding to the potential feed object to perform an additional user interface action to generate another potential feed object.

Abstract: The present invention relates to methods for producing oxygenated terpenoids. Polynucleotides, derivative enzymes, and host cells for use in such methods are also provided.