Abstract: Provided is a cyber threat information processing method including receiving input of a file or information on the file from a user through at least one interface; processing cyber threat information related to the received or input file or the information on the file; providing the processed cyber threat information to the user through a user interface; and performing natural language processing on the processed cyber threat information.

Abstract: A cyber threat information processing method including receiving input of a file or information on the file from a user through at least one interface; processing cyber threat information related to the received or input file or the information on the file; and providing the processed cyber threat information to the user through a user interface. The cyber threat information includes a dataset package.

Abstract: A differential amplification device and a compensation method thereof. The differential amplification device includes a first terminal signal circuit, a second terminal signal circuit and a controller. The first terminal signal circuit and the second terminal signal circuit respectively generate a first terminal signal and a second terminal signal of a differential output signal to a first terminal of a transmission path. The controller adjusts first element parameters of the first terminal signal circuit or second element parameters of the second terminal signal circuit based on a transmitted differential signal at a second terminal of the transmission path to compensate for asymmetric influence by the transmission path on the first terminal signal and the second terminal signal of the transmitted differential signal. Adjustment of the first element parameter of the first terminal signal circuit is independent of adjustment of the second element parameter of the second terminal signal circuit.

Abstract: A method includes displaying a first user interface including a target image and a task selection element, in response to a selection of the task selection element, displaying a second user interface including a target audience selection element, in response to a selection of a target audience using the target audience selection element, displaying a third user interface including a benchmark selection element, in response to a selection of a benchmark using the benchmark selection element, executing a target audience machine learning model using as input the target image to generate a performance score, calculating a benchmark score for the target image based on the performance score of the target image and performance scores for the images of the benchmark, and displaying a fourth user interface including the target image and the benchmark score.

Abstract: Provided is a cyber threat information processing method including receiving input of a file or information on the file from a user through at least one interface; processing cyber threat information related to the received or input file or the information on the file; and providing the processed cyber threat information to the user through a user interface, wherein the provided cyber threat information includes information on an attack group.

Abstract: Provided is a cyber threat information processing method including receiving input of a file or information on the file from a user through at least one interface; processing cyber threat information related to the received or input file or the information on the file; and providing the processed cyber threat information to the user through a user interface, wherein the provided cyber threat information includes a list of advanced persistent threat (APT) attack information.

Abstract: A technique improves training and speech quality of a text-to-speech (TTS) system having an artificial intelligence, such as a neural network. The TTS system is organized as a front-end subsystem and a back-end subsystem. The front-end subsystem is configured to provide analysis and conversion of text into input vectors, each having at least a base frequency, f0, a phenome duration, and a phoneme sequence that is processed by a signal generation unit of the back-end subsystem. The signal generation unit includes the neural network interacting with a pre-existing knowledgebase of phenomes to generate audible speech from the input vectors. The technique applies an error signal from the neural network to correct imperfections of the pre-existing knowledgebase of phenomes to generate audible speech signals. A back-end training system is configured to train the signal generation unit by applying psychoacoustic principles to improve quality of the generated audible speech signal.

Abstract: Various embodiments of a heating and temperature sensing assembly of a vaporizer device are described herein. In some embodiments, the heating and temperature sensing assembly may include a support plate made out of a thermally conductive material. The heating and temperature sensing assembly may include a heating element including a first electrically conductive pathway extending along the support plate. The heating element may be configured to heat the support plate for heating the vaporizable material. The heating and temperature sensing assembly may include a temperature sensing element having a second electrically conductive pathway extending along the support plate. The temperature sensing element may be configured to sense a temperature of the support plate. Related systems, methods, and articles of manufacture are also described.

Abstract: A game controller for a mobile device having a first handle, a second handle, a bridge coupling the first handle to the second handle, and a magnetic connector. The first handle includes a user-accessible, first hardware interface configured to accept touch inputs. The second handle includes a user-accessible, second hardware interface configured to accept touch inputs. The magnetic connector is configured to magnetically retain a mobile device to the game controller.

Abstract: Techniques are provided for creating a virtual environment that can be used for virtual trainings. The virtual environment is configured so that the environment can be viewed using a head-mounted display. A computer system can receive a learning objective from a client and the computer system can present the client with a series of question strings about the objective. Based on answer strings received from the client, the computer system can add skill frameworks, interactive frameworks, positional information, and timing information to fields in a training plan table. The computer system can receive visual content from the client or retrieve visual content from a visual content database. Using the training plan table, interactive frameworks can be added to visual content to produce a virtual environment.

Abstract: Composite particles comprising a hydrophobic dye and an amphiphilic block copolymer encapsulating the dye are disclosed. The dye exhibits absorbance peaks at one or more points in the ultraviolet, visible, or infrared regions of the electromagnetic spectrum. The particles are thus useful in optical applications, such as the preparation of contact lenses that screen out harmful radiation. In select embodiments, the dye is Zinc (II) 5, 10, 15, 20-(tetraphenyl) porphyrin and the copolymer is an acrylate or PEO copolymer that has been crosslinked.

Abstract: A method, computer program product, and computer system for text-to-speech synthesis is disclosed. Synthetic speech data for an input text may be generated. The synthetic speech data may be compared to recorded reference speech data corresponding to the input text. Based on, at least in part, the comparison of the synthetic speech data to the recorded reference speech data, at least one feature indicative of at least one difference between the synthetic speech data and the recorded reference speech data may be extracted. A speech gap filling model may be generated based on, at least in part, the at least one feature extracted. A speech output may be generated based on, at least in part, the speech gap filling model.

Abstract: Various aspects of the subject technology relate to systems, methods, and machine-readable media for cross-chain communication in a blockchain platform. Various aspects may include accepting, at a first blockchain, a first transaction including a message and a message payload. Aspects may also include validating, at the first blockchain, the message by signing the message using signature keys of one or more validators in a first set of validators of the first blockchain. Aspects may also include generating an aggregate signature based on the signature keys of the one or more validators in a first set of validators. Aspects may also include submitting a second transaction on to a second blockchain, the second transaction including the message and the aggregate signature. Aspects may include validating, at the second blockchain, the second transaction based on a shared registry.

Abstract: A system and method for slot selection is provided. A customer order is received for an in-store pickup at a retail store and a set of inputs is received. The set of inputs includes slot-related information related to a first set of timeslots available at the retail store within a first time-period, inventory information, and order preparation constraints. Based on the set of inputs, a capacity constraint is determined. The capacity constraint sets a number of customer orders to be scheduled for the in-store pickup within each of the first set of timeslots. Thereafter, a first timeslot is determined from among the first set of timeslots. The first timeslot accommodates the customer order in accordance with the capacity constraint and a pickup wait time within the first timeslot is below a threshold. The first timeslot is displayed on a customer device.

Abstract: A method includes storing a database comprising a plurality of pointers to web pages and identifiers of entities associated with the plurality of pointers; receiving a first request comprising a first identifier; identifying subset of the plurality of pointers from the database responsive to each pointer of the subset having a stored association with a first identification that matches the first identifier; responsive to identifying the subset of the plurality of pointers, establishing, via one or more pointers, a connection with a server hosting a set of web pages associated with the subset of the plurality of pointers; retrieving one or more images or videos from each of the set of web pages over the established connection; calculating a performance score for each of the one or more images or videos; and generating a record identifying the performance score for each of the one or more images or videos.

Abstract: Methods, non-transitory computer-readable media, and query verification apparatuses are disclosed that receive a result vector, an index to the result vector, a range proof, and an inner product proof from a prover device after providing a query vector to the prover device. The prover device hosts a vector database with rows and columns. Second and third commitments to a distance vector and a random linear combination vector, respectively, are generated based on a first commitment to the rows. The range proof is checked using the second commitment and the inner product proof is checked using the third commitment and a generator used to generate the first commitment and identified based on the index. The result vector is returned after confirming that it is one of the rows and each of the rows is as far from the query vector as the result vector based on the check of the proofs.

Abstract: Devices can be configured to implement distributed ledgers capable of immutably recording ledger entries that have validated version identifiers. The devices can include network interfaces, memory and processors. Processors can be configured to obtain ledger entries including version identifiers and version authenticator values, determine software versions that correspond to version identifiers, determine that version identifiers are valid based on version authenticator values, obtain challenges using cryptographic systems, wherein challenges are based on ledger entries, and/or broadcast blocks that incorporate ledger entries to securely add blocks to distributed ledgers. Blocks can be capable of being validated by using cryptographic systems to obtain proofs based on challenges.

Abstract: A method for creating in-block content presented in a block on a page of a workspace. The block is configured to initiate a generative process to create in-block content of a particular type. The method includes determining a selection of in-page content based on a location of the block relative to the in-page content and the particular type of in-block content. The method can include causing a generative function to create generative content of the particular type based on the selection of the in-page content. The method can further include populating a block area to present the generative content.

Abstract: A method includes displaying a first user interface including a target image and a task selection element, in response to a selection of the task selection element, displaying a second user interface including a target audience selection element, in response to a selection of a target audience using the target audience selection element, displaying a third user interface including a benchmark selection element, in response to a selection of a benchmark using the benchmark selection element, executing a target audience machine learning model using as input the target image to generate a performance score, calculating a benchmark score for the target image based on the performance score of the target image and performance scores for the images of the benchmark, and displaying a fourth user interface including the target image and the benchmark score.