Abstract: The invention provides a consent management system for managing a user's consent for a plurality of services. The system includes a consent management unit adapted to register a plurality of services to a user and obtain user consent information associated with the user. The consent management unit is further adapted to control consent operation of the plurality of services registered to the user, based on user consent information associated with the user.

Abstract: Embodiments described herein provide a method of training a language model by tuning a prompt. The method comprises masking tokens of first and second conversational texts which have the same semantic meaning but in different languages (e.g., a translation). The masked texts are input to a language model with a prepended soft prompt. The language model generates respective predicted outputs. A loss objective is computed including a masked language model loss. The prompt is updated based on the computed loss objective via backpropagation while keeping the language model frozen.

Abstract: A conversation engine performs conversations with users using chatbots customized for performing a set of tasks that can be performed using an online system. The conversation engine loads a chatbot configuration that specifies the behavior of a chatbot including the tasks that can be performed by the chatbot, the types of entities relevant to each task, and so on. The conversation may be voice based and use natural language. The conversation engine may load different chatbot configurations to implement different chatbots. The conversation engine receives a conversation engine configuration that specifies the behavior of the conversation engine across chatbots. The system may be a multi-tenant system that allows customization of the chatbots for each tenant.

Abstract: A conversation engine performs conversations with users using chatbots customized for performing a set of tasks that can be performed using an online system. The conversation engine loads a chatbot configuration that specifies the behavior of a chatbot including the tasks that can be performed by the chatbot, the types of entities relevant to each task, and so on. The conversation may be voice based and use natural language. The conversation engine may load different chatbot configurations to implement different chatbots. The conversation engine receives a conversation engine configuration that specifies the behavior of the conversation engine across chatbots. The system may be a multi-tenant system that allows customization of the chatbots for each tenant.

Abstract: The present invention provides an electricity-driven, micro-electroporation based drug delivery system, in particular, an electrically conductive array of microprotrusions containing intended substances or molecules to be delivered, which is to the benefit of a recipient receiving vaccination transcutaneously in the absence of any assistive mechanical or actuation means as in conventional injection methods, so as to lower safety risks, improve immunization efficiency, and also induce immune response of the recipient more effectively at a relatively lower dose of vaccines.

Abstract: A porous copper-based filter material that is electrodeposited with nanotwin copper to provide anti-pathogenic properties, particularly against Covid-19 or the SARS virus. The nanotwin copper is a thin layer of (111) oriented nanotwin copper microstructure.

Abstract: An automatic darkening filter with adaptive parameter adjustment includes: a welding arc intensity detection unit configured to provide a first signal for determining the welding arc intensity; a solar power supply module configured to provide electric energy for the welding arc intensity detection unit and provide a second signal for determining the ambient light intensity; and a CPU and a light valve, the CPU being configured to calculate a difference between the welding arc intensity and the ambient light intensity based on the first and second signals, and control the scale number of the light valve based on the difference. The automatic darkening filter can realize the automatic adjustment of the scale number, and in the adjustment process, the welding arc intensity signal can be revised based on the ambient light intensity, which can effectively ensure the accuracy of the final determination of the scale number.

Abstract: A conversation engine performs conversations with users using chatbots customized for performing a set of tasks that can be performed using an online system. The conversation engine loads a chatbot configuration that specifies the behavior of a chatbot including the tasks that can be performed by the chatbot, the types of entities relevant to each task, and so on. The conversation may be voice based and use natural language. The conversation engine may load different chatbot configurations to implement different chatbots. The conversation engine receives a conversation engine configuration that specifies the behavior of the conversation engine across chatbots. The system may be a multi-tenant system that allows customization of the chatbots for each tenant.

Abstract: A system performs conversations with users using chatbots customized for performing a set of tasks. The system may be a multi-tenant system that allows customization of the chatbots for each tenant. The system receives a task configuration that maps tasks to entity types and an entity configuration that specifies methods for determining entities of a particular entity type. The system receives a user utterance and determines the intent of the user using an intent detection model, for example, a neural network. The intent represents a task that the user is requesting. The system determines one or more entities corresponding to the task. The system performs tasks based on the determined intent and the entities and performs conversations with users based on the tasks.

Abstract: A conversation engine performs conversations with users using chatbots customized for performing a set of tasks that can be performed using an online system. The conversation engine loads a chatbot configuration that specifies the behavior of a chatbot including the tasks that can be performed by the chatbot, the types of entities relevant to each task, and so on. The conversation may be voice based and use natural language. The conversation engine may load different chatbot configurations to implement different chatbots. The conversation engine receives a conversation engine configuration that specifies the behavior of the conversation engine across chatbots. The system may be a multi-tenant system that allows customization of the chatbots for each tenant.

Abstract: A system performs conversations with users using chatbots customized for performing a set of tasks. The system may be a multi-tenant system that allows customization of the chatbots for each tenant. The system processes sentences that may include negation or coreferences. The system determines a confidence score for an input sentence using an intent detection model, for example, a neural network. The system modifies the sentence to generate a modified sentence, for example, by removing a negation or by replacing a pronoun with an entity. The system generates a confidence score for the modified sentence using the intent detection model. The system determines the intent of the sentence based on the confidence scores of the sentence and the modified sentence. The system performs tasks based on the determined intent and performs conversations with users based on the tasks.

Abstract: An automatic darkening filter with adaptive parameter adjustment includes: a welding arc intensity detection unit configured to provide a first signal for determining the welding arc intensity; a solar power supply module configured to provide electric energy for the welding arc intensity detection unit and provide a second signal for determining the ambient light intensity; and a CPU and a light valve, the CPU being configured to calculate a difference between the welding arc intensity and the ambient light intensity based on the first and second signals, and control the scale number of the light valve based on the difference. The automatic darkening filter can realize the automatic adjustment of the scale number, and in the adjustment process, the welding arc intensity signal can be revised based on the ambient light intensity, which can effectively ensure the accuracy of the final determination of the scale number.

Abstract: Some embodiments of the current disclosure disclose methods and systems for training for training a natural language processing intent classification model to perform few-shot classification tasks. In some embodiments, a pair of an utterance and a first semantic label labeling the utterance may be generated and a neural network that is configured to perform natural language inference tasks may be utilized to determine the existence of an entailment relationship between the utterance and the semantic label. The semantic label may be predicted as the intent class of the utterance based on the entailment relationship and the pair may be used to train the natural language processing intent classification model to perform few-shot classification tasks.

Abstract: Various embodiments relate to a method and apparatus for policy-hiding on ciphertext-policy attribute based encryption, the method including the steps of categorizing each of a plurality of attributes into a plurality of groups where each of the plurality of groups has a group attribute, inputting a policy and a message into an encryption algorithm and outputting a ciphertext; and encrypting an AND subtree in the policy and outputting a sub-cipher.

Abstract: A conversation engine performs conversations with users using chatbots customized for performing a set of tasks that can be performed using an online system. The conversation engine loads a chatbot configuration that specifies the behavior of a chatbot including the tasks that can be performed by the chatbot, the types of entities relevant to each task, and so on. The conversation may be voice based and use natural language. The conversation engine may load different chatbot configurations to implement different chatbots. The conversation engine receives a conversation engine configuration that specifies the behavior of the conversation engine across chatbots. The system may be a multi-tenant system that allows customization of the chatbots for each tenant.

Abstract: A conversation engine performs conversations with users using chatbots customized for performing a set of tasks that can be performed using an online system. The conversation engine loads a chatbot configuration that specifies the behavior of a chatbot including the tasks that can be performed by the chatbot, the types of entities relevant to each task, and so on. The conversation may be voice based and use natural language. The conversation engine may load different chatbot configurations to implement different chatbots. The conversation engine receives a conversation engine configuration that specifies the behavior of the conversation engine across chatbots. The system may be a multi-tenant system that allows customization of the chatbots for each tenant.

Abstract: The invention provides a consent management system for managing a user's consent for a plurality of services. The system includes a consent management unit adapted to register a plurality of services to a user and obtain user consent information associated with the user. The consent management unit is further adapted to control consent operation of the plurality of services registered to the user, based on user consent information associated with the user.

Abstract: A system performs conversations with users using chatbots customized for performing a set of tasks. The system may be a multi-tenant system that allows customization of the chatbots for each tenant. The system processes sentences that may include negation or coreferences. The system determines a confidence score for an input sentence using an intent detection model, for example, a neural network. The system modifies the sentence to generate a modified sentence, for example, by removing a negation or by replacing a pronoun with an entity. The system generates a confidence score for the modified sentence using the intent detection model. The system determines the intent of the sentence based on the confidence scores of the sentence and the modified sentence. The system performs tasks based on the determined intent and performs conversations with users based on the tasks.

Abstract: A system performs conversations with users using chatbots customized for performing a set of tasks. The system may be a multi-tenant system that allows customization of the chatbots for each tenant. The system receives a task configuration that maps tasks to entity types and an entity configuration that specifies methods for determining entities of a particular entity type. The system receives a user utterance and determines the intent of the user using an intent detection model, for example, a neural network. The intent represents a task that the user is requesting. The system determines one or more entities corresponding to the task. The system performs tasks based on the determined intent and the entities and performs conversations with users based on the tasks.

Abstract: A method for assessing risk associated with a request from an inquirer for allele frequency from a database of genetic data, comprising: (i) generating an allele database comprising allele frequency information and request frequency information for each of a plurality of alleles; (ii) generating an inquirer database comprising allele request information about a plurality of inquirers; (iii) receiving a request for genetic data from an inquirer, comprising a request for allele frequency for one or more alleles and an identifier of the inquirer; (iv) updating the request frequency information based on the received request; (v) updating the allele request information for the requesting inquirer; (vi) calculating an allele risk score; (vii) calculating an inquirer risk score; and (viii) assessing, based on the allele risk score and the inquirer risk score, a risk associated with the received request.