Abstract: Techniques for automatically switching between chatbot skills in the same domain. In one particular aspect, a method is provided that includes receiving an utterance from a user within a chatbot session, where a current skill context is a first skill and a current group context is a first group, inputting the utterance into a candidate skills model for the first group, obtaining, using the candidate skills model, a ranking of skills within the first group, determining, based on the ranking of skills, a second skill is a highest ranked skill, changing the current skill context of the chatbot session to the second skill, inputting the utterance into a candidate flows model for the second skill, obtaining, using the candidate flows model, a ranking of intents within the second skill that match the utterance, and determining, based on the ranking of intents, an intent that is a highest ranked intent.

Abstract: A novel system and method are disclosed for associating computer-implemented features, functionalities, and/or digital asset rights with the consumption of consumable items using blockchain-based crypto-tokens. A new model of access authorization and licensing is achieved by linking the expenditure of crypto token transactions to the calculated expenditure of consumable items using the special features and functions of technology-enabled computer-implemented processes and methods performing these expenditures and controlling the access authorization and licensing as a function of blockchain immutable Smart Contract transactions. In addition, linking these same expenditures with the expenditure of digital asset rights, such as artwork printing, extends the value participation model to include manufacturers of consumable items, software developers, and digital rights creators such as artists.

Abstract: Techniques for extracting key information from a document using machine-learning models in a chatbot system is disclosed herein. In one particular aspect, a method is provided that includes receiving a set of data, which includes key fields, within a document at a data processing system that includes a table detection module, a key information extraction module, and a table extraction module. Text information and corresponding location data are extracted via optical character recognition. The table detection module detects whether one or more tables are present in the document and, if applicable, a location of each of the tables. The key information extraction module extracts text from the key fields. The table extraction module extracts each of the tables based on input from the optical character recognition and the table detection module. Extraction results include the text from the key fields and each of the tables can be output.

Abstract: A model for a natural language understanding task is generated based on labeled data generated by a labeling model. The model for the natural language understanding task is smaller than the labeling model (i.e., with lower computational and memory requirements than the combined model), but with substantially the same performance as the labeling model. In some cases, the labeling model may be generated based on a large pre-trained model.

Abstract: In some aspects, a computing device may receive, at a data processing system, a set of utterances for training or inferencing with a named entity recognizer to assign a label to each token piece from the set of utterances. The computing device may determine a length of each utterance in the set and when the length of the utterance exceeds a pre-determined threshold of token pieces: dividing the utterance into a plurality of overlapping chunks of token pieces; assigning a label together with a confidence score for each token piece in a chunk; determining a final label and an associated confidence score for each chunk of token pieces by merging two confidence scores; determining a final annotated label for the utterance based at least on the merging the two confidence scores; and storing the final annotated label in a memory.

Abstract: Techniques for using logit values for classifying utterances and messages input to chatbot systems in natural language processing. A method can include a chatbot system receiving an utterance generated by a user interacting with the chatbot system. The chatbot system can input the utterance into a machine-learning model including a set of binary classifiers. Each binary classifier of the set of binary classifiers can be associated with a modified logit function. The method can also include the machine-learning model using the modified logit function to generate a set of distance-based logit values for the utterance. The method can also include the machine-learning model applying an enhanced activation function to the set of distance-based logit values to generate a predicted output. The method can also include the chatbot system classifying, based on the predicted output, the utterance as being associated with the particular class.

Abstract: A diagnostic device includes a probe, a motor configured to scan the probe over a test circuit, a superconducting quantum interference device (SQUID) attached to the probe and configured to be coupled to the test circuit such that an electronic noise present in the test circuit induces a first current that flows through the SQUID, and a current path configured to receive a second current that flows through the SQUID. The SQUID is configured to generate an output in a form of a first voltage in response to a sum of the first current and the second current being less than a threshold current, and a second voltage in response to the sum of the first current and the second current being greater than the threshold current.

Abstract: Compounds, tautomers and pharmaceutically acceptable salts of the compounds are disclosed, wherein the compounds have the structure of Formula Ia, as defined in the specification. In an embodiment, a pharmaceutical composition can be in a liquid dosage form and can comprise a therapeutically effective amount of the compound or a pharmaceutically acceptable salt thereof as an adjuvant and a therapeutic agent. In another embodiment, a method of adjuvant treating a disorder or condition can comprising administering the pharmaceutical composition to a patient.

Abstract: An example apparatus includes: a capacitor having a terminal; comparator circuitry having an input terminal and an output terminal, the input terminal of the comparator circuitry coupled to the terminal of the capacitor; timer circuitry having an input terminal and an output terminal, the input terminal of the timer circuitry coupled to the output terminal of the comparator circuitry; and configuration determination circuitry having an input and an output, the input of the configuration determination circuitry coupled to the output of the timer circuitry; and a configuration register having an input coupled to the output of the configuration determination circuitry.

Abstract: A pressure sensor device includes an upper housing and a lower housing joined to the upper housing. The lower housing defines an inlet, a chamber, and a passageway extending between the inlet and the chamber. The lower housing is configured to receive a fluid. The pressure sensor device includes a sensor element affixed to the lower housing to prevent the fluid from exiting the chamber and the sensor element is configured to detect a pressure of the fluid. The pressure sensor device also includes a compensator assembly disposed in the chamber, the compensator assembly includes a holder, and a compressible clement positioned in the holder. The compressible element is sealed from the fluid.

Abstract: A dry spinning system and process are used to produce cellulose ester fibers. The process utilizes one or more of N,N-dimethylformamide, N,N-dimethylacetamide, dimethyl sulfoxide, or mixtures thereof as the dissolution solvent. The process minimizes or avoids discoloration of the fibers.

Abstract: The invention relates to detecting the concentration of chromatin fragments in a body fluid sample using a homogeneous immunoassay (HIA) method.

Abstract: In one aspect, the invention relates to an immunogenic composition that includes a mutant Clostridium difficile toxin A and/or a mutant Clostridium difficile toxin B. The mutant toxin may include a glucosyltransferase domain having at least one mutation and a cysteine protease domain having at least one mutation, relative to the corresponding wild-type C. difficile toxin. The mutant toxins may include at least one amino acid that is chemically crosslinked. In another aspect, the invention relates to methods and compositions for use in culturing Clostridium difficile and in producing C. difficile toxins.

Abstract: A vessel transport system in a liquid handler system includes vessel movers that transport a sample vessel using a magnetic base. A track provides a selective magnetic field to propel the magnetic base of each vessel mover along the track using a plurality of multilayer printed circuit boards (PCB) arranged along a transport path. Each PCB has a plurality of multi-layer conductive coils within layers of the PCB and each coil has a plurality of single-layer spirals electrically coupled with one another to form a multilayer coil. A processor is configured to control selective application of currents to the plurality of multi-layer coils to create the selective magnetic field. At least a subset of the multi-layer conductive coils are stacked relative to one another below a surface of the track, such that the selective application of currents selects one of a plurality of branching paths along the track.

Abstract: Examples disclosed herein involve a computing system configured to (i) receive image data captured by an image-capture device; (ii) based on the received image data, generate a set of map update tasks that each define a respective activity for evaluating whether to update a map; (iii) use a multi-factor prioritization scheme to prioritize the set of map update tasks; (iv) assign at least a subset of map update tasks from the set of map update tasks to one or more curators in accordance with the prioritization of the set of map update tasks; (v) receive, from a client station associated with a given curator via a network-based communication path, data defining feedback from the given curator regarding a given map update task; and (vi) update the map based on the received feedback.

Abstract: An electrode and a method of forming an electrode, the electrode being formed from boron doped diamond, the electrode having a total solution accessible electrode area comprising at least 60% diamond stabilised non-diamond carbon. There is also disclosed an electrochemical cell the electrode.

Abstract: A method includes receiving an indication of a first coverage value corresponding to a desired overlap between a dataset of natural language phrases and a training dataset for training a machine learning model; determining a second coverage value corresponding to a measured overlap between the dataset of natural language phrases and the training dataset; determining a coverage delta value based on a comparison between the first coverage value and the second coverage value; modifying, based on the coverage delta value, the dataset of natural language phrases; and processing, utilizing a machine learning model including the modified dataset of natural language phrases, an input dataset including a set of input features. The machine learning model processes the input dataset based at least in part on the dataset of natural language phrases to generate an output dataset.

Abstract: A diagnostic circuit includes a superconducting quantum interference device (SQUID) configured to be coupled to a test circuit such that an electronic noise present in the test circuit induces a first current that flows through the SQUID. The diagnostic circuit also includes a current path configured to receive a second current that flows through the SQUID. The SQUID is configured to generate an output in a form of: a first voltage in response to a sum of the first current and the second current being less than a threshold current and a second voltage in response to the sum of the first current and the second current being greater than the threshold current.

Abstract: A diagnostic device includes a probe, a motor configured to scan the probe over a test circuit, a superconducting quantum interference device (SQUID) attached to the probe and configured to be coupled to the test circuit such that an electronic noise present in the test circuit induces a first current that flows through the SQUID, and a current path configured to receive a second current that flows through the SQUID. The SQUID is configured to generate an output in a form of a first voltage in response to a sum of the first current and the second current being less than a threshold current, and a second voltage in response to the sum of the first current and the second current being greater than the threshold current.