Abstract: Approaches for training data set size estimation for machine learning model systems and applications are described. Examples include a machine learning model training system that estimates target data requirements for training a machine learning model, given an approximate relationship between training data set size and model performance using one or more validation score estimation functions. To derive a validation score estimation function, a regression data set is generated from training data, and subsets of the regression data set are used to train the machine learning model. A validation score is computed for the subsets and used to compute regression function parameters to curve fit the selected regression function to the training data set. The validation score estimation function is then solved for and provides an output of an estimate of the number additional training samples needed for the validation score estimation function to meet or exceed a target validation score.

Abstract: A washing machine appliance includes a wash tub positioned within a cabinet, a water inlet fluidly coupled to a water supply for receiving wash fluid, a wireless communication module, and a controller operably coupled to the wireless communication module. The controller is configured to obtain an event notification of a water discoloration event associated with the water supply and implement a responsive action in response to obtaining the event notification of the water discoloration event, such as stopping an operating cycle and providing the user with an issue rectification guide for mitigating effects of the water discoloration event.

Abstract: One variation of a system includes a substrate including: a first layer including a first spiral trace coiled in a first direction; a second layer arranged below the first layer and including a second spiral trace coiled in a second direction and cooperating with the first spiral trace to form a multi-layer inductor; and a sensor layer including an array of drive and sense electrode pairs. The system also includes: a cover layer arranged over the substrate and defining a touch sensor surface; and a first magnetic element arranged below the substrate and defining a first polarity facing the multi-layer inductor. The system further includes a controller configured to drive an oscillating voltage across the multi-layer inductor to oscillate the substrate in response to detecting an input on the touch sensor surface based on electrical values from the set of drive and sense electrode pairs.

Abstract: The present disclosure relates generally to modulators of Cot (cancer Osaka thyroid) and methods of use and manufacture thereof.

Abstract: A method includes identifying trace data including a plurality of data points, the trace data being associated with production, via a substrate processing system, of substrates that have property values that meet threshold values. The method further includes determining, based on the trace data, a dynamic acceptable area outside of guardband limits. The method further includes causing, based on the dynamic acceptable area outside of the guardband limits, performance of a corrective action associated with the substrate processing system.

Abstract: A method includes identifying trace data including a plurality of data points, the trace data being associated with production, via a substrate processing system, of substrates having property values that meet threshold values. The method further includes determining, based on a guardband, guardband violation data points of the plurality of data points of the trace data. The method further includes determining, based on the guardband violation data points, guardband violation shape characterization. Classification of additional guardband violation data points of additional trace data is to be based on the guardband violation shape characterization. Performance of a corrective action associated with the substrate processing system is based on the classification.

Abstract: A washing machine appliance includes a wash tub positioned within a cabinet, a wash basket rotatably mounted within the wash tub and defining a wash chamber configured for receiving a load of clothes, and a camera assembly positioned in view of the load of clothes. A controller is configured to obtain one or more images of the load of clothes to be washed during a wash cycle, analyze the one or more images using an image recognition process to identify an outlier garment in the load of clothes, determine that the outlier garment is not on a safelist, and implement a responsive action in response to identifying the outlier garment that is not on the safelist.

Abstract: A method includes identifying trace data including a plurality of data points, the trace data being associated with production, via a substrate processing system, of substrates having property values that meet threshold values. The method further includes generating, based on the trace data and a plurality of allowable types of variance, a guardband including an upper limit and a lower limit for fault detection. The method further includes causing, based on the guardband, performance of a corrective action associated with the substrate processing system.

Abstract: A system for interfacing with a meta-database representing data from a plurality of source databases. A key variable repository module operably couples the databases and includes an AI program with a scanner algorithm and a profiler algorithm. The scanner algorithm receives the source data from a source interface, compresses the data, and synchronizes the data with the meta-data using a meta-database interface. The profiler algorithm receives the meta-data from the meta-database interface, generates granular data types for the meta-data, determines variables indicative of the meta-data, generates variable probability distributions, produces variable associations, and modifies the meta-database to include the probability distributions and associations using the meta-data interface.

Abstract: Methods and systems for implementing and utilizing radiometric characterization in combination with reference material characterization of an optical sensor to more accurately and efficiently measure material properties are disclosed. In some embodiments, a method for for optically measuring material properties includes an optical sensor being radiometrically characterized based on measured optical responses. A model is generated and includes model components of the optical sensor. A parameterized model is generated by fitting n variable parameters of the model components using the optical responses. The optical sensor is utilized to measure an optical response to a reference material and a re-parameterized model is generated by re-fitting m of the n variable parameters of the model components based, at least in part, on the measured optical response to the reference material, wherein m is less than n.

Abstract: A system for training a model from a subset of data representing decentrally stored source databases. A key variable repository module operably couples the databases and includes an AI program with a scanner algorithm and a profiler algorithm. The scanner algorithm receives the training data from a source interface, compresses the training data, and synchronizes the training data with the meta-data using a meta-database interface. The profiler algorithm receives the meta-data from the meta-database interface, generates granular data types for the meta-data, determines training variables indicative of the meta-data, generates variable probability distributions, produces training variable associations, and modifies the meta-database to include the probability distributions and associations using the meta-data interface. The key interface allows for searching the meta-database for training variables, variable probability distributions, and/or variable associations.

Abstract: A system for maintaining a meta-database including meta-data representing decentralized data from source databases, which cause inefficient selection of modeling data and/or variables. Each of source and meta-data interfaces communicate with the respective database(s). A key variable repository module operably couples the databases and includes an AI program with a scanner algorithm and a profiler algorithm. The scanner algorithm receives the source data from the source interface, compresses the data, and synchronizes the data with the meta-data using the meta-database interface. The profiler algorithm receives the meta-data from the meta-database interface, generates granular data types for the meta-data, determines variables indicative of the meta-data, generates variable probability distributions, produces variable associations, and modifies the meta-database to include the probability distributions and associations using the meta-data interface.

Abstract: A system for interfacing with a meta-database representing data from a plurality of source databases. A key variable repository module operably couples the databases and includes an AI program with a scanner algorithm and a profiler algorithm. The scanner algorithm receives the source data from a source interface, compresses the data, and synchronizes the data with the meta-data using a meta-database interface. The profiler algorithm receives the meta-data from the meta-database interface, generates granular data types for the meta-data, determines variables indicative of the meta-data, generates variable probability distributions, produces variable associations, and modifies the meta-database to include the probability distributions and associations using the meta-data interface.

Abstract: Morpholino antisense oligos (Morpholinos) are a class of synthetic non-ionic molecules, each designed to very specifically bind to a selected complementary RNA sequence (targeted RNA transcript). Custom-sequence Morpholinos are used in a broad range of biological research areas, as well as for therapeutic applications in vivo (in living animals such as humans). For most in vivo applications the “bare” Morpholino (FIG. 1a) is linked to a cationic delivery component to give a “delivery-enabled” Morpholino (FIG. 1b) with significantly improved delivery efficiency. However, cytosolic delivery was still markedly less than expected. Then recently we discovered that by adding a special disconnect component between the Morpholino component and the cationic delivery component (FIG. 1c), the cytosolic delivery efficiency for the Morpholino was dramatically increased (about a 1,000% increase in delivery efficiency).

Abstract: A washing machine appliance and methods for the same may include authorizing a user of the washing machine appliance and loading testing software into a partitioned memory of a controller. The testing software may include a testing sequence. The method may further include receiving a single testing prompt from a remote device following loading testing software and executing the testing sequence of the testing software from the partitioned memory in response to receiving the single testing prompt, whereby a mechanical component of the washing machine appliance is operated. The method may still further include exiting a remote testing mode after executing the testing software and deleting the testing software from the partitioned memory when exiting the remote testing mode.

Abstract: A cathode active material includes a plurality of cathode active compound particles and a coating disposed over each of the cathode active compound particles. The coating includes a lithium (Li)-ion conducting oxide containing lanthanum (La) and titanium (Ti).

Abstract: A system and method for data transmission and performance improvement for an appliance is provided. The system includes an appliance including a controller operably connected to a network computing device. The controller is configured to transmit a packet to a network computing device. The packet includes genealogical data for the appliance encoded in a positional numeral system. The network computing device is configured to receive the packet and decode the genealogical data for the appliance. Decoding includes translating the positional numeral system to an appliance configuration.

Abstract: A method of forming a polymeric vacuum insulation board is provided, the polymeric vacuum insulation board including a plurality of evacuated, closed-cell pores therein. In one embodiment, the method includes intermixing a polymer with zeolite particles that contain water and extruding the resulting composition under high pressure. During extrusion, water in the zeolite particles evaporates and creates a porous, closed-cell microstructure within a polymer matrix. As the polymer matrix cools and solidifies, water vapor is reabsorbed by the zeolite, which at least partially evacuates the closed-cell pores. In another embodiment, the method includes intermixing a polymer with expandable graphite particles and extruding the resulting composition under high pressure. During extrusion, the expandable graphite particles define evacuated voids. The polymer binder can be selected to include low gas permeance, for example ethylene vinyl alcohol (EvOH) or polyvinylidene chloride (PVDC).

Abstract: A flexible multi-path RF adaptive tuning network switch architecture that counteracts impedance mismatch conditions arising from various combinations of coupled RF band filters, particularly in a Carrier Aggregation-based (CA) radio system. In one version, a digitally-controlled tunable matching network is coupled to a multi-path RF switch in order to provide adaptive impedance matching for various combinations of RF band filters. Optionally, some or all RF band filters include an associated digitally-controlled filter pre-match network to further improve impedance matching. In a second version, some or all RF band filters coupled to a multi-path RF switch include a digitally-controlled phase matching network to provide necessary per-band impedance matching. Optionally, a digitally-controlled tunable matching network may be included on the common port of the multi-path RF switch to provide additional impedance matching capability.