Abstract: Systems and methods are described to accurately extract device parameters and optimize the design of macroscopic superconducting structures, for example qubits. This method presents the advantage of reusing existing plaquettes to simulate different processor topologies. The physical elements of a qubits are extracted via plurality of plaquettes. Each plaquette contains at least one physical element of the qubit design and has two ports on each side. Each plaquette is concatenated to at least one other plaquette via two ports. The values of inductance (L), capacitance (C) and mutual inductance (M) and quantum critical point of the qubit design can be computed. Changing the physical elements of the qubit design and iterating the method allows to effortlessly refine the qubit design.

Abstract: Circuitry and processes are disclosed that use conventional electronic circuits (comprising, for example, phase locked loops, pulse width modulators, phase modulators, digital logic gates, etc.) to enable quantum algorithms. Such circuitry and processes achieve the requirement for non-quantum devices to enable quantum algorithms: the tensor product entanglement of signals representing quantum states. Such circuitry and processes are readily usable by current Electronic Design Automation tools, to design, verify and emulate applications such as fast, very large number factoring for use in decryption. Also, the independent Claims concisely signify embodiments of the claimed inventions.

Abstract: According to a first aspect, it is presented a method for requesting access to a physical space controlled by an electronic lock. The method is performed in a user device and comprises the steps of: reading a tag using a near field radio protocol, yielding a tag identifier, the tag being distinct from the electronic lock; finding, based on the tag identifier, a lock identifier associated with the tag identifier, wherein the tag identifier is distinct from the lock identifier; and sending an access request message to the electronic lock having the lock identifier.

Abstract: An artificial intelligence device for providing a voice recognition service includes a microphone configured to receive a voice command, a memory configured to store an error analysis model for inferring an error cause of voice recognition, an output unit, and a processor configured to determine whether voice recognition of the voice command has failed based on the voice command and voice recognition surrounding information, acquire the error cause from the voice recognition surrounding information using the error analysis model, and output the acquired error cause through the output unit.

Abstract: Methods, systems, and apparatus for implementing a hexadecimal to quantum computation translation. In one aspect, a method includes obtaining one or more hexadecimal data inputs; applying a quantum computation translation operation to each hexadecimal data input to generate one or more corresponding sequences of quantum computations; implementing the one or more sequences of quantum computations using quantum computing hardware to obtain one or more corresponding sequence of measurement results; and providing the one or more sequences of measurement results as respective representations of the one or more hexadecimal data inputs.

Abstract: Bio-potentials are sensed on the skin of a subject. The bio-potentials include muscle bio-potentials, and nerve bio-potentials. Skin sensors are positioned to enable the sensing circuitry to emphasize the nerve bio-potentials and deemphasize the muscle bio-potentials in processed bio-potential signals generated by the sensing circuitry. A machine learning component identifies control sequences or tracks body motions based on the processed bio-potential signals.

Abstract: Systems, device and techniques are disclosed for receiving a first taste profile of a first user based on at least a first profile criteria and receiving a second taste profile of a second user based on at least a second profile criteria. An area of interest may be determined based on the first and second taste profiles. A playlist containing one or more media items (e.g., audio, video, text, etc.) may be generated based on the determined area of interest.

Abstract: A hybrid computing system comprising a digital and an analog processor calculates the ground energy state of a non-diagonal Hamiltonian via diagonalization of the Hamiltonian in different bases and reverse annealing. A first basis is rotated to render part of the Hamiltonian diagonal, then the quantum processor evolves backwards until a value s* of the normalized evolution coefficient. Another basis is rotated to render another part of the Hamiltonian diagonal and the quantum processor evolves backwards again until s*. The bases can be rotated via discrete Fourier transform. The quantum processor may pause for a time t after each backward evolution. The ground state energy is calculated using the final ground states.

Abstract: System receives historical text block, creates historical features for historical text block's historical text lines. System trains machine-learning model to cluster historical features into historical features clusters based on their similarities. System identifies historical features cluster as historical human text cluster. System classifies each historical text line for historical human text cluster as human text, and each historical text line for other historical features clusters as machine text. System receives text block, creates features for text block's text lines. System applies trained machine-learning model to cluster features into features clusters based on their similarities. System identifies features cluster as human text cluster. System classifies each text line for human text cluster as human text, and each text line for other features clusters as machine text.

Abstract: A character string classification method, a character string classification system, a character string classification device, and a computer readable storage medium are provided. The method includes: acquiring a to-be-classified character string, inputting the to-be-classified character string to a feature extractor to obtain a feature vector of the to-be-classified character string, and inputting the feature vector to a classifier to obtain a classification result of the to-be-classified character string. With the character string classification method, only the features of the character string itself are used in the character string classification process. That is, the to-be-classified character string is directly inputted to the feature extractor to obtain the feature vector, and the classifier classifies the to-be-classified character string based on the feature vector, thereby eliminating requirement for other information associated with the character string.

Abstract: Systems and techniques for automated voice assistant personality selector are described herein. A task may be identified that is to be completed by a user of a voice-enabled virtual assistant. A response may be output in connection with the task using a default personality for the voice-enabled virtual assistant selected based on the task. A task completion checkpoint may be determined for the task. It may be identified that the task completion checkpoint has not been reached. A personality profile of the user may be compared to personality data of a set of voice-enabled virtual assistant profiles corresponding to respective members of a set of available voice personalities for the voice-enabled virtual assistant. An escalation personality may be selected for the voice-enabled virtual assistant based the comparison and the task. Commands for facilitating user completion of the task may be transmitted via the voice-enabled virtual assistant using the selected escalation personality.

Abstract: Dump file content and other event data is pruned and prioritized to assist analysis of hangs, crashes, and other circumstances. An event data pruner condenses or excludes certain event data. A cluster creator creates clusters from pruned and vectorized event data, using a clustering algorithm and a similarity metric, without any prior specification of the desired number of clusters. A cluster ranker ranks clusters according to event data volume and thread importance, thus prioritizing the event data for inspection. A results presenter configures a user interface to present ranked clusters, their associated data, data reduction statistics, regression analysis results, and other data reduction processing results. Thus, the innovative functionality assists analysis and prioritized inspection of event data by an analyst, surfacing organized event data that is relevant to the circumstance under investigation, or supporting comparison of clusters from before and after a change in the circumstance, or doing both.

Abstract: Systems and methods for power and thermal management of autonomous vehicles are provided. In one example embodiment, a computing system includes processor(s) and one or more tangible, non-transitory, computer readable media that collectively store instructions that when executed by the processor(s) cause the computing system to perform operations. The operations include obtaining data associated with an autonomous vehicle. The operations include identifying one or more vehicle parameters associated with the autonomous vehicle based at least in part on the data associated with the autonomous vehicle. The operations include determining a modification to one or more operating characteristics of one or more systems onboard the autonomous vehicle based at least in part on the one or more vehicle parameters.

Abstract: Systems and methods are provided for computer aided phenotyping of fibrosis-related conditions. A digital image indicates presence of collagens in a biological tissue sample. The image is processed to quantify parameters, each parameter describing a feature of the collagens that is expected to be different for different phenotypes of fibrosis. At least some features are tissue level features that describe macroscopic characteristics of the collagens, morphometric level features that describe morphometric characteristics of the collagens, and texture level features that describe an organization of the collagens. At least some of the plurality of parameters are statistics associated with histograms corresponding to distributions of the associated parameters across at least some of the digital image. At least some of the plurality of parameters are combined to obtain one or more composite scores that quantify a phenotype of fibrosis for the biological tissue sample.

Abstract: Systems and methods of the present invention may be used to determine metrics and health scores for content that may correspond to an educational course or textbook, which may be in a digital format. The metrics and health scores may be determined at the assessment-item-part-level, assessment-item-level, section-level, chapter-level, and title-level, and may be used to quantitatively assess how well the corresponding content is performing based on responses submitted to assessment item parts of the content by one or more responders. The assessment-item-part-level metrics may include difficulty and discrimination values, scores, weights, and reliability values, which may be determined in whole or in part using maximum likelihood estimation methods based on a modified two parameter item response model.

Abstract: Methods and apparatus to estimate audience sizes using deduplication based on binomial sketch data are disclosed. An apparatus to estimate an audience size for media based on binomial sketch data includes a coefficient analyzer to determine coefficient values of a polynomial based on variances, a covariance, and cardinalities corresponding to first binomial sketch data from a first database and second binomial sketch data from a second database. The apparatus also includes an overlap analyzer to determine a real root of the polynomial. The real root corresponds to an estimate of an overlap between the first binomial sketch data and the second binomial sketch data. The apparatus further includes a report generator to estimate the audience size based on the estimate of the overlap and the cardinalities of the first and second binomial sketch data.

Abstract: A quantum computing system is adapted to prepare a cat state in a quantum circuit with fault tolerance t and circuit depth less than or equal to 4+4t by performing a series of operations that includes: performing a sequence of joint parity measurements on individual pairs of neighboring qubits in a series of qubits entangled to form an initial cat state; repeating the sequence of measurements over at least t-rounds; and disentangling a first set of alternating qubits from the initial cat state, the prepared cat state being formed by a remaining second set of alternating qubits, the second set of alternating qubits being interlaced with the first set of alternating qubits along a line of one-dimensional connectivity, the series of operations being sufficient to guarantee that a prepared cat state is has less than or equal to t number of faults.

Abstract: A system to generate software development and testing stories that includes a design specification system, a collection module, identification module, creation module, selection module, analysis module, development module, and a feeding module. The design specification system contains software design data. The collection module collects software design data. The identification module identifies Base Software Business Logic Paths (BSBLP). The identification module also identifies the base factors, non-base factors, and values of the base factors, and non-base factors for each BSBLP. The creation module places the base factors, non-base factors, and the values inside an Initial Factor List (IFL) to build Multi-Dimensional Knowledgebases (MDK). The selection module selects relevant BSBLP for a subject software feature to be analyzed. The analysis module utilizes the relevant BSBLP to perform factor impact analysis on the subject software feature to develop a Final Factor List (FFL).

Abstract: The disclosed technology includes example embodiments that provide a framework for testing quantum programs in a manner similar to unit testing of classical programs by using a simulator that can predict the probability of measurements in a quantum system (known as a “strong simulator”). For a particular quantum program, embodiments of the disclosed technology use information exposed by strong simulation that would not otherwise be available to compare the given program to a desired reference program.

Abstract: Local activation times (LATs) are mapped by computing an LAT range for a plurality of electrophysiology data points, splitting the LAT range into two or more LAT sub-ranges, splitting the LAT map into a corresponding number of LAT sub-maps, and associating a mapping sub-convention (e.g., a color spectrum, grayscale, and/or pattern density range) with each of the LAT sub-maps. The mapping sub-conventions can be scaled (e.g., linearly, logarithmically) to their respective LAT sub-ranges, allowing for an overall LAT map that offers increased granularity over LAT sub-ranges of particular interest to the practitioner. The LAT sub-maps can be updated in real time as additional electrophysiology data points are collected.

Abstract: A system for dynamic message routing on a topic between publishing nodes and subscribing nodes includes a plurality of message queues, at least one topic/node table, a subscribing module, a publishing module, and other modules to send messages between one or more publisher and one or more subscribers. These modules are coupled together by a bus in a plurality of nodes and provide for the dynamic message routing on a topic between publishing nodes and subscribing nodes. The message queues store messages at each node for delivery to subscribers local to that node. The topic/node table lists which clients subscribe to which topics, and is used by the other modules to ensure proper distribution of messages. The subscribing module is use to establish a subscription to a topic for that node. The publishing module is used to identify subscribers to a topic and transmit messages to subscribers dynamically.

Abstract: Examples described herein relate to apparatuses and methods for providing automated advising services to a customer of a provider institution, including but not limited to a provider institution computing system determining a goal of the customer based on a user input of the customer, generating a set of sub-goals for the goal, determining a current status of the customer relating to the sub-goals and the goal, determining whether the current status of the customer meets any sub-goals and a projected status of the customer indicating whether the customer is projected to meet the goal, and sending a notification to a user device of the customer notifying the customer of a completion state of the goal based on at least one of the sub-goals met by the current status of the customer and whether the customer is projected to meet the goal.

Abstract: Described herein are structures that include flux bias lines for controlling frequencies of qubits in quantum circuits. An exemplary structure includes a substrate, a qubit provided over a surface of the substrate, and a flux bias line provided below the surface of the substrate and configured to control the frequency of the qubit via a magnetic field generated as a result of a current flowing through the flux bias line. Methods for fabricating such structures are disclosed as well.

Abstract: Described herein are methods and system for electronic workflow management having a central server that periodically scans data accessible to multiple computers and data interacted with by different users to generate a nodal data structure comprising of interrelated nodes where each node corresponds to a workflow component, such as files, messages, tasks, and the like. The server then executes various analytical protocols to identify and link/merge nodes corresponding to related content. Upon receiving an indication that a user is entering his/her time into a timekeeping software tool, the server traverses the nodal data structure, identifies a relevant project associated with the user's worked hours and displays a suggestion (e.g., identified project) for the user.

Abstract: Various embodiments of systems and methods for a learning environment for accessible virtual computer science education are disclosed.

Abstract: A quantum computing system and methods for performing fusion based quantum computing on encoded qubits. A fusion controller sequentially performs a series of fusion measurements on respective physical qubits of first and second encoded qubits to obtain a respective series of classical measurement results. For respective fusion measurements of the series of fusion measurements, a basis for performing the respective fusion measurement is selected based on classical measurement results of previous fusion measurements. An encoded fusion measurement result is determined based on the classical measurement results, and the encoded fusion measurement result is stored in a memory medium.

Abstract: A corpus curation method, system, and non-transitory computer readable medium, include mapping a kinematic motion of a robot to a granular feature of an item in the corpus and answering a user question using the mapped kinematic motion embedded in an answer by the robot.

Abstract: A method and system provides personalized assistance to users of a data management system. The method and system trains an analysis model with both a supervised machine learning process and an unsupervised machine learning process to identify relevant assistance topics based on a user query and the attributes of the user that provided the query. The method and system outputs personalized assistance to the user based on the analysis of the analysis model.

Abstract: Systems and methods are described for processing data by interactions with a publish-subscribe messaging system. The processing may include receiving messages published to at least one publish-subscribe messaging system, the messages containing data collected during operation of one or more source computing systems and iteratively processing the received messages through the publish-subscribe messaging system, wherein iteratively processing a message comprises serially republishing the message to the at least one publish-subscribe messaging system and altering the message between individual republishings according to a set of rules, and wherein a final republishing of the message during the serial republishing makes a version of the message available on the at least one publish-subscribe messaging system to a downstream component.

Abstract: Embodiments of the present invention provide methods, systems, apparatuses, and computer program products for predicting consumer behavior. In one embodiment a method is provided comprising automatically creating a link graph comprising nodes representing webpages, links representing hyperlinks, and weights for each link representing a number of times a hyperlink associated with the respective link redirected the a user devices from a webpage associated with a first node connected to the link to a webpage associated with a second node connected to the link; and determining based on the link graph a programmatically expected path for a particular user, wherein the programmatically expected path identifies, at least, two or more webpages that the particular user is programmatically expected to visit and specifying a programmatically expected order at which the particular user will visit the webpages.

Abstract: Disclosed herein are embodiments of systems, methods, and products comprises a server, which provides trigger-based personalized sales outreach based on a user's request. The request comprises a list of target companies/people. The server scans a variety of sources by web crawling the sources' web documents and finds news items relevant to the target companies/people. The server determines an importance score for each news item that measures the probability of a sales representative being interested in the news item. The server applies a set of filters comprising a network of neural networks to filter out false positives. The analytic server determines a relevancy score for each news item. The server generates a GUI to display the news items satisfying certain thresholds. Based on the user's selection on the news items, the server uses the news items as triggers of outreach and generates an electronic message template prepopulated with the news items.

Abstract: Batch interaction with a computerized question answering system can produce an answer that more closely relates to a user's information need. A batch of questions can be generated interactively, and provides a context for a first question received from a user. The batch of questions includes or more additional questions which have terms with a nonsynonymous semantic relation to a first term in the first question. A question answering system can process the batch of questions to determine candidate answers. An answer to the first question can be determined based, at least in part, on a combined ranking of the candidate answers.

Abstract: Techniques for generating a report recommendation are disclosed. A system receives a request to display a report. The system computes report relevancy scores for other reports, based at least in part on a set of rules including one or more report relevancy criteria. Each report relevancy score measures relevancy of a particular report to the requested report. The system determines that a particular report relevancy score, associated with one of the other reports, satisfies one or more report recommendation criteria. Responsive to the request to display the requested report, the system displays the requested report and, based on the particular report relevancy score satisfying the one or more report recommendation criteria, also displays a recommendation corresponding to the other report.

Abstract: A computer-implemented method includes generating from a corpus a knowledge graph comprising a plurality of nodes interconnected by a plurality of edges. Each node of the plurality of nodes represents an entity extracted from the corpus. Each edge of the plurality of edges represents a relationship between corresponding entities extracted from the corpus. The knowledge graph includes a plurality of source passages extracted from the corpus from which the plurality of edges was generated. A generative language model is trained, for each edge of the plurality of edges, to associate two or more related entities by utilizing the knowledge graph. Using the trained generative language model, one or more passages representing the edge of the knowledge graph are generated for each edge of the knowledge graph.

Abstract: A quantum processing comprises n fixed-frequency quantum circuits of distinct frequencies, where n?3. The device further comprises a frequency-tunable coupler, designed in such a manner that its frequency can be concomitantly modulated at m frequencies, where m?2, and wherein said m frequencies correspond, each, to a difference of energy between a respective pair of quantum states spanned by the quantum circuits. The quantum circuits are, each, coupled to the tunable coupler. The method may rely on modulating the frequency of the tunable coupler concomitantly at said m frequencies. This, for example, is done so as to drive m energy transitions between connected pairs of states spanned by the quantum circuits and achieve an entangled state of the quantum circuits as a superposition of l states spanned by the quantum circuits, l?m.

Abstract: In a general aspect, a quantum computing method is described. In some aspects, a control system in a quantum computing system assigns subsets of qubit devices in a quantum processor to respective cores. The control system identifies boundary qubit devices residing between the cores in the quantum processor and generates control sequences for each respective core. A signal delivery system in communication with the control system and the quantum processor receives control signals to execute the control sequences, and the control signals are applied to the respective cores in the quantum processor.

Abstract: A method of publishing a publication message includes receiving, at one of a plurality of first relays, a subscription request from a first client and transmitting the subscription request from the one of the plurality of first relays to only one of a plurality of central relays. The method also includes receiving, at another of the plurality of first relays, a publication request from a second client. The publication request includes the publication message. The method further includes transmitting the publication message from the another of the plurality of first relays to all of the plurality of central relays, transmitting the publication message from at least one of the plurality of central relays to the one of the plurality of first relays, and transmitting the publication message from the one of the plurality of first relays to the first client.

Abstract: Displaying a comparison of genotypic information between relatives is disclosed, including receiving an indication that a first individual is a grandparent, receiving an indication that a second individual is a grandchild of the first individual, comparing the genotypic information of the first individual and the second individual and calculating a similarity score, and displaying an indication of the similarity score graphically using colors.

Abstract: Script and command line exploitation detection is described. Initially, an exploitation detection system collects data describing scripts and command lines launched by various computing devices. The exploitation detection system clusters the scripts and command lines based on a measure of similarity, namely, Bilingual Evaluation Understudy (BLEU) score. Given the clusters and the data describing the scripts and command lines, the exploitation detection system generates encodings of the scripts and command lines for input to a machine learning model, e.g., an autoencoder. From this model, the exploitation detection system receives a measure of unlikeliness that a process corresponding to a given script or command line launches it. The exploitation detection system ranks the scripts and command lines according to the measure of unlikeliness. In this way, the exploitation detection system can display indications of the scripts and command lines that are most unlikely to be launched by their respective process.

Abstract: A system is presented for emulating sampling of a quantum computer having a plurality of qubits arranged in a grid topology with N columns. The system includes a classical processor that is configured by operational instructions to perform operations that include producing final weights and variable assignments for the N columns based on N iterative passes through the grid topology, wherein each of the N iterative passes generates preliminary weights and variable assignments for a corresponding subset of the N columns, wherein the preliminary weights and variable assignments for a selected column of the corresponding subset based on the preliminary weights and variable assignments generated for a column adjacent to the selected column of the corresponding subset, and wherein the sampling of the quantum computer having the plurality of qubits is emulated by producing a plurality of samples from the N iterative passes based on the final weights and variable assignments for each of the N columns.

Abstract: A quantum computer or a hybrid quantum-classical (HQC) computer leverages the power of noisy intermediate-scale quantum (NISQ) superconducting quantum processors at and/or beyond the supremacy regime to evaluate the ground state energy of an electronic structure Hamiltonian.

Abstract: Travel itineraries are automatically prepared based upon user interests and sentiments inferred by deep semantic analysis of user-commented and user-preferred digital works of literature by receiving interests and associated sentiment levels for at least one user according to a deep semantic analysis of a plurality of works of literature, wherein the works of literature have been rated, commented, or both rated and commented by the user; searching repositories of travel items to find one or more matching travel items to the received more interests and associated sentiment levels; and preparing at least one travel itinerary including at least one found matching travel item. Travel itineraries may be prepared responsive to a user-initiated trip planning session, responsive to notification of a new travel item's availability, periodically, or a combination thereof.

Abstract: Techniques and a system for quantum circuit decomposition by integer programming are provided. In one example, a system includes a quantum circuit decomposition component and a simulation component. The quantum circuit decomposition component generates graphical data for a quantum circuit that is indicative of a graphical representation of the quantum circuit. The graphical representation is formatted as a hypergraph. The simulation component simulates the quantum circuit based on the graphical data associated with the hypergraph.

Abstract: A synthetic document generator that obtains a configuration for a synthetic document derived from real-world documents. The configuration specifies element templates to be included in the synthetic document and weights for the specified element templates. The system generates synthetic documents based on the configuration; the synthetic documents include diversified versions of the element templates specified in the configuration. Annotation documents are generated for the synthetic documents that include information describing the respective synthetic documents. A machine learning model for analyzing real-world documents can then be trained using the synthetic and annotation documents. Feedback from the analysis of real-world documents by the machine learning model can be used to generate a new configuration for generating additional synthetic and annotation documents which are used to further train the model.

Abstract: A method of determining user engagement in a game includes: receiving data from a plurality of remote entertainment devices at a server, the data from a respective entertainment device associating at least a first feature state of the game with an action by a user of that respective entertainment device indicative of a predetermined degree of engagement by the user with the game, aggregating the data received from the plurality of entertainment devices, and determining a level of correspondence between one or more feature states and user actions indicative of the predetermined degree of engagement.

Abstract: This application concerns quantum computing, and in particular to structures and mechanisms for providing topologically protected quantum computation. In certain embodiments, a magnetic tunnel barrier is controlled that separates Majorona zero modes (“MZMs”) from an edge area (e.g., a gapless edge) of a quantum spin hall system. In particular implementations, the magnetic tunnel barrier is formed from a pair of magnetic insulators whose magnetization is held constant, and the magnetic tunnel barrier is tuned by controlling a gate controlling the electron density around the magnetic insulator in the QSH plane, thereby forming a quantum dot. And, in some implementations, a state of the quantum dot is read out (e.g., using a charge sensor as disclosed herein).

Abstract: The disclosed technology concerns example embodiments for estimating eigenvalues of quantum operations using a quantum computer. Such estimations are useful in performing Shor's algorithm for factoring, quantum simulation, quantum machine learning, and other various quantum computing applications. Existing approaches to phase estimation are sub-optimal, difficult to program, require prohibitive classical computing, and/or require too much classical or quantum memory to be run on existing devices. Embodiments of the disclosed approach address one or more (e.g., all) of these drawbacks. Certain examples work by using a random walk for the estimate of the eigenvalue that (e.g., only) keeps track of the current estimate and the measurement record that it observed to reach that point.

Abstract: An apparatus comprises a processing platform configured for characterization, provisioning and access of data set virtual neighborhoods. The processing platform comprises a virtual neighborhood describer, a virtual neighborhood provisioner and a virtual neighborhood visitor. The virtual neighborhood describer is configured to generate characterizations of data set virtual neighborhoods responsive to one or more requirements, such as specified or derived requirements, or combinations thereof. The virtual neighborhood provisioner is configured to utilize the characterizations to generate provisioned data set virtual neighborhoods responsive to one or more corresponding provisioning requests.

Abstract: A user identity determining method includes: acquiring target multidimensional feature information of a target user, wherein the target multidimensional feature information includes at least two types of feature information in at least one of biometric feature information or non-biometric feature information; comparing the target multidimensional feature information with multidimensional feature information of a plurality of designated users, respectively, to obtain a comparison result; and determining an identity of the target user based on the comparison result.

Abstract: Time-series projections can be analyzed and manipulated via an interactive graphical user interface generated by a system. The graphical user interface can include a graph depicting an aggregated time-series projection (ATSP) over a future time. The ATSP can be generated by aggregating multiple time-series. The system can receive user input indicating that an existing value in the ATSP is to be overridden with an override value. In response, the system can adjust the ATSP using the override value to generate an updated version of the ATSP. The system can display the updated version of the ATSP in the graphical user interface. The system can also propagate the impact of overriding the existing value with the override value through the multiple time-series. The system can display an impact analysis portion within the graphical user interface indicating the impact of overriding the existing value with the override value on the multiple time-series.