Abstract: A computer-implemented method comprises: receiving, from a first local site remote from a model aggregator device, a local update of a machine learned model and a parameterization of local data, wherein the local update was generated at the first local site based on the local data; generating a synthetic representation of the local data based on the parameterization using a generative AI function; evaluating the local update using the synthetic representation to obtain an evaluation result indicative of the performance of the local update; and updating the machine learned model based on the evaluation result and the local update.

Abstract: Systems and processes for application integration with a digital assistant are provided. In accordance with one example, a method includes, at an electronic device having one or more processors and memory, receiving a natural-language user input; identifying, with the one or more processors, an intent object of a set of intent objects and a parameter associated with the intent, where the intent object and the parameter are derived from the natural-language user input. The method further includes identifying a software application associated with the intent object of the set of intent objects; and providing the intent object and the parameter to the software application.

Abstract: This disclosure describes one or more implementations of systems, non-transitory computer-readable media, and methods that utilizes a segmentation approach that distinguishes between smooth-shaded regions from high-frequency regions in an image within a vectorization pipeline to generate a vector image. For instance, the disclosed systems utilize a smoothing function to identify non-overlapping sets of pixels that include locally smooth pixels and pixels with high frequency details for an image. Furthermore, in some instances, the disclosed systems generate separate sets of fill functions (representing color-based regions) using color-based pixel clustering for the non-overlapping sets of pixels. Moreover, in one or more instances, the disclosed systems merge neighboring color-based regions in the sets of fill functions (using color similarity) to generate a set of segmented regions for an image.

Abstract: An apparatus and method of determining the concentration of first and second substances within a sample by exposing the sample to radiation and filtering the radiation transmitted from the sample using a first filter having a number of pass bands at wavelengths corresponding to absorption peaks in a desired quasi-periodic absorption spectrum of the first substance to be detected, and modulating the wavelengths of the pass bands of the first filter. Additionally, filtering the radiation transmitted from the sample using a second filter having a number of pass bands at wavelengths corresponding to absorption peaks in a desired quasi-periodic absorption spectrum of the second substance to be detected, and modulating the wavelengths of the pass bands of the second filter. The concentration of the first and second substances is determined by determining the difference in the maximum and the minimum intensities of the radiation transmitted by the sample.

Abstract: A non-dispersive near infrared light is used for detecting analyte gases in a testing zone. A sample obtained from the testing zone is irradiated with a reference light and with test lights. The test lights are emitted in sequence and modulated to be out of phase with the reference light. Frequencies of the test lights are in the absorption bands of particular analyte gases, with the reference light frequency being outside of the absorption bands. Analyte presence in the sample is identified by sensing changes in differences over time of test light and reference light intensity. Before irradiating the sample, the lights are optically conditioned by aligning them on the same path, and splitting the bandwidth of some lights for detecting analytes with overlapping absorption bands.

Abstract: A method can include, for each row of a nonvolatile memory (NVM) cell array, generating a multiply-accumulate (MAC) result for the row by applying input values on bit lines. Each MAC result comprising a summation of an analog current or voltage that is a function of each input value modified by a corresponding weight value stored by the NVM cells of the row. By operation of at least one multiplexer, one of the rows can be connected to an analog-to-digital converter (ADC) circuit to convert the analog current or voltage of the row into a digital MAC value. A storage element of each NVM cell can be configured to store a weight value that can vary between no less than three different values. Corresponding devices and systems are also disclosed.

Abstract: A transistor structure that includes multiple heterojunction layer sets, each generating a two-dimensional electron gas (2DEG), such that the transistor structure has a stack of 2DEGs that may be used to conduct between source and drain. A terminal is provided proximate an uppermost 2DEG to control whether the uppermost 2DEG is continuous between a source contact and a source plug. A source plug connects the uppermost 2DEG with the next 2DEG, and a drain plug also connects the uppermost 2DEG with the next 2DEG. Thus, the gate terminal may control the flow of current in sub-surface 2DEGs between the source and drain.

Abstract: A shear assisted extrusion process for producing cladded materials wherein a cladding material and a material to be cladded are placed in sequence with the cladded material positioned to contact a rotating scroll face first and the material to be cladded second. The two materials are fed through a shear assisted extrusion device at a preselected feed rate and impacted by a rotating scroll face to generate a cladded extrusion product. This process allows for increased through wall strength and decreases the brittleness in formed structures as compared to the prior art.

Abstract: A building system including one or more memory devices that store instructions thereon, that, when executed by one or more processors, generate a user interface including user interface elements, wherein a first user interface element of user interface elements is associated with a first category and includes one or more first recommendations that are associated with the first category and one or more first selection fields allowing a user to select recommendations for implementation from among the one or more first recommendations and a second user interface element of the user interface elements is associated with a second category and includes one or more second recommendations that are associated with the second category.

Abstract: The tissue imaging system, incorporates an integrated X-Ray and Ultrasound Imaging system. The X-Ray system is used for imaging and generating a 3D Volume of the extracted tissue sample (specimen). The Ultrasound imaging system is used for imaging the body area of interest of the patient from which the tissue sample is to be extracted. On the display of the system, the physician draws contours on the area of interest and the same is displayed as a 3D Volume. A 3D volume of the extracted tissue is generated using the x-ray imaging sub-system. Quantitative analysis is performed on the two 3D volumes (extracted tumor x-ray imaging and the contoured ultrasound imaging) to determine the difference between the contoured and the surgically extracted specimen to assist the physician in determining if further surgical intervention is required.

Abstract: Doped and coated nickel-rich cathode active materials, and methods of manufacture, are described. The doped and coated nickel-rich cathode active materials enable energy storage devices with improved performances, including but not limited to improved energy densities and capacity retention.

Abstract: A computer-implemented method comprises: receiving a first neural network trained to map first input data to first output data; receiving a second neural network configured to map second input data to second output data, the second input data having a same structure as the first input data; determining a joint neural network including a first part of the first neural network and a second part of the second neural network; receiving first and second training data; training the joint neural network based on the first training data; training the second neural network based on the second training data and a second loss function, the second loss function including a layer loss function based on a comparison of values of a second layer of the second part in the second neural network and values of a corresponding layer in the trained joint neural network; and providing the second neural network.

Abstract: Systems and methods for predicting relevance of resources to search queries. In some aspects, the system may receive a search query requesting resources from a database and may identify resources, including messages, relating to the search query. The system may extract, from the messages, hyperlinks specifying locations within the database. The system may input, into a model, the search query and the hyperlinks to cause the model to generate predictions of relevance of the hyperlinks to the search query. The system may then determine an overall relevance score for the resources in relation to the search query based on the predictions of relevance.

Abstract: A radio frequency device includes antennas, transmitters, power detectors, a memory storing instructions and an antenna gain lookup table, and processors. The processors execute instructions that include instructing the transmitters to send transmission signals through the antennas to form a first beamformed signal having a first beam direction and a first frequency using multiple input powers. The instructions include determining radio frequency integrated circuit (RFIC) gains associated with the transmitters based on the transmission signals using the power detectors. Moreover, the instructions include determining the antenna gains for the antennas based on the first beam direction and the first frequency of the first beamformed signal, and the antenna gain lookup table. The instructions also include determining total gains based on the RFIC gains and the antenna gains, and adjusting the input powers based on the total gains and a back off power signal.

Abstract: A voice and dialect matching computing device processes audio signals received from two sources to authenticate and secure information associated with creation of an electronic transaction. This voice based computing device automatically processes audio signals to identify participants based on voice information and/or dialect information. The voice based computing device compares a vocal signal and/or dialect information using an intelligent processing unit (e.g., an artificial intelligence/machine learning based model) and/or using historical information stored in a central dynamic data store. The processed audio signals are decomposed into at least two signals, where a first signal may be used as a trigger to activate processing of an electronic transaction by a smart contract hub computing device. The second signal includes attributes of the electronic transaction which may then be encrypted.

Abstract: A system and method are disclosed for generating intelligent multi-modal system actions based, at least in part, on predicting a user action and one or more stored user inputs. Embodiments include a database and a computer comprising a processor and memory, the computer is configured to monitor user inputs using one or more sensors and one or more tactile interface devices, detect at least two modes of user input and store the user inputs in the database. The computer is further configured to evaluate the stored user inputs in the database and the at least two modes of user input to generate a system action and generate a system action based, at least in part, on predicting a user action and one or more stored user inputs.

Abstract: Systems and methods for processing webpage calls via multiple module responses are described. A system may receive a first call and a second call for module data associated with a plurality of webpage modules for presentation of a webpage at a client device; categorize the plurality of webpage modules according to historical data associated with the client device; responsive to the first call, transmit to the client device a first response comprising a first webpage module corresponding to a first category; and responsive to the second call, transmit to the client device a second response comprising a second webpage module corresponding to a second category, where the first webpage module is transmitted in the first response and the second webpage module is transmitted in the second response based on the categorization.

Abstract: The present invention is directed to a yeast strain, or strains, secreting a full suite, or any subset of that full suite, of enzymes to hydrolyze corn starch, corn fiber, lignocellulose, (including enzymes that hydrolyze linkages in cellulose, hemicellulose, and between lignin and carbohydrates) and to utilize pentose sugars (xylose and arabinose). The invention is also directed to the set of proteins that are well expressed in yeast for each category of enzymatic activity. The resulting strain, or strains can be used to hydrolyze starch and cellulose simultaneously. The resulting strain, or strains can be also metabolically engineered to produce less glycerol and uptake acetate. The resulting strain, or strains can also be used to produce ethanol from granular starch without liquefaction.

Abstract: A system and method are disclosed for aggregating product trends. Embodiments include receiving an initial set of images from one or more data feeds by a trend aggregation system comprising a server, identifying one or more attribute values from the initial set of images, and quantifying a social affinity score of one or more items of an inventory of a supply chain entity based on recentness, relevance, and similarities of the identified one or more attribute values to an attribute value of a potential product for a product assortment. Embodiments may further include receiving an image of at least one additional item, identifying a product attribute from the image, and assigning an attribute value to the at least one additional item based, at least in part, on the identified attribute value from the image of the least one additional item and the attribute values of the at least two items.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for determining predicted digital fonts for textual characters within digital images utilizing one or more machine learning models or neural networks. In particular, in one or more embodiments, the disclosed systems determine textual characters within a target digital image and determine one or more predicted fonts for the textual characters utilizing a font recognition machine learning model to extract features of the textual characters from the target digital image, the font recognition machine learning model comprising parameters learned from synthetic text data comprising sample textual images generated with a multi-attribute probabilistic model across a distribution of text attributes.