International Business Machines Corporation

Kyndryl, Inc.

Globalfoundries Inc.

Kyndral, Inc.

Bhavna Agrawal

Maja Vukovic

Sai Zeng

Constantin Mircea Adam

Milton H Hernandez

Robert Filepp

Yingjie Li

Peter Feldmann

Richard Jay Cohen

Anuradha Bhamidipaty

David James Hathaway

Ying Liu

Frank Andre Schaffa

Emrah Acar

Brian L Peterson

Elham Khabiri

Guan Zhang

Shuxin Lin

Steven G Walker

Peng Peng

Jonathan D Dunne

Ruchi Mahindru

Vladimir P Zolotov

Sani Richard Nassif

Jeffrey Owen Kephart

Jinjun Xiong

Jin Xiao

Sharon Mary Trewin

Nikolaos Anerousis

David Shing-Ki Kung

Tomasz J Nowicki

Karin Murthy

Daniel Mark Coffman

Grzegorz Michal Swirszcz

Zhengliang Xue

David Wells Winston

Sarika Budhiraja

Pravin Kamdar

Karl K Moody, Iii

Pranav Girish Sankhe

Brian Peterson

Guan Qun Zhang

Jayshree Sanjayam

Robert M Delmonico

Temporal and spatially integrated forecast modeling includes generating a plurality of forecast models for a plurality of short-term to long-term time periods for a plurality of locations. Temporally integrating the plurality of forecast models sequentially over the plurality of time periods for the plurality of locations and spatially integrating the temporally integrated plurality of forecast models for each location hierarchically over the geographic areas. The forecast models are autoregressive distributed lag models with different explanatory variables for the short-term and long-term forecast models. The temporally integrating includes recursively integrating the plurality of forecast models over the time periods from the short-term to the long-term time periods and the spatially integrating includes recursively integrating the temporally integrated plurality of forecast models hierarchically from larger size geographic areas to smaller size geographic areas. The method includes optimizing the resultant spatially and temporally integrated forecast model based on a plurality of constraints.

Multi-locational forecast modeling in both temporal and spatial dimensions

A method is provided for creating a semantic model for submitting search queries thereto. The method includes an act of receiving data from one or more input sources in an entity and relationship capture service of a situational awareness engine. The method further includes an act of extracting entities and relationships between the entities in two or more extraction services, where the two or more extraction services include at least two of a table-to-graph service, an event-to-graph service, a sensor-to-graph service, a text-to-graph service, and an image-to-graph service. The method includes an act of generating a semantic model based on fusion and labeling the extracted data provided by the at least two extraction services, where the semantic model can receive a search query and respond to the search query based on the generated semantic model.

Situational awareness by fusing multi-modal data with semantic model

A computer-implemented method can determine a linguistic boundary condition for synthetic data generation in a multi-class classification problem. The method includes analyzing empirical labelled data using linguistic and vector representation techniques. The method further includes deriving a synthetic boundary conditional (SBC) model based on the analysis of the empirical labelled data and identifying a boundary location for performant synthetic data generation using the SBC model.

Boundary detection for synthetic data generation

Tabular data is accessed that contains multiple entries of alphanumeric data. Multiple tokens are generated of the multiple entries of alphanumeric data using a tokenization process. The tokenization process maintains jargon-specific features of the alphanumeric data. Multiple embeddings of the multiple entries of alphanumeric data are generated using the tokens. The embeddings capture similarity of the multiple entries considering all of global features, column features, and row features in the tokens of the tabular data. A neural network is used to predict probabilities for pre-defined classes for the tabular data using the generated embeddings.

Generating unique word embeddings for jargon-specific tabular data for neural network training and usage

Users of an endpoint remediation system can be assigned to different roles, from which they can request exceptions, approve exceptions, and/or enable remediation on endpoint devices. The compliance scanning and enforcing process can be automated, while allowing entities to request and/or approve certain exceptions. Therefore, security compliance for customers can be actively managed to provide visibility to the endpoint device compliance state at any time.

Testing and remediating endpoint device compliance controls

Testing and remediating compliance controls

Content is selectively provided to users of mobile devices within a venue including an on-site wireless network. User authorization requests and/or user account registration data are transmitted to the on-site wireless network from mobile devices within the venue. Attributes such as user interests and professions, which comprise inferred user profiles, are obtained using the network traffic data. Identities of mobile devices are established based on a combination including two or more of network identifiers, mobile device signatures, and browser signatures. The inferred user profiles are correlated with the mobile device identities. The inferred user profiles are aggregated into user profile groups and then matched with a content provider's intended target profiles. Content is transmitted to the mobile devices corresponding to the intended target profiles and based on correlation of the inferred user profiles with identities of the devices. Inferred user profiles may be verified using social and/or geographical data.

User/group servicing based on deep network analysis

Providing real-time awareness of an audience to a presenter during the presentation. In response to presenting a presentation to an audience, information is automatically collected about the audience from sensors positioned amongst the audience. The collected information about the audience is analyzed and, during the presentation, recommendations are made to the presenter for improving the presentation based on the collected information.

Providing real-time audience awareness to speaker

For each of a plurality of endpoints of an information technology system having a plurality of security policies, a probability of being safe of each of said endpoints is determined according to each of said security policies. Said determining takes into account probability of security compromise for a single violation of each given one of said security policies. A risk-aware compliance metric is determined for said information technology system based on each of said probabilities of being safe for each of said endpoints and each of said policies. At least one of an operation and a remediation is carried out on said information technology system based on said risk-aware compliance metric. Techniques for optimizing risk-aware compliance are also provided.

Optimizing risk-based compliance of an information technology (IT) system

In one embodiment, the invention is a method and apparatus for variation enabling statistical testing using deterministic multi-corner timing analysis. One embodiment of a method for obtaining statistical timing data for an integrated circuit chip includes obtaining deterministic multi-corner timing data for the integrated circuit chip and constructing the statistical timing data from the deterministic multi-corner timing data.

Enabling statistical testing using deterministic multi-corner timing analysis

A solution for analyzing a circuit using initial charge information is provided. In particular, one or more nodes in a design for the circuit is initialized with an initial charge. The charge can comprise a non-equilibrium charge, thereby simulating the history effect, the impact of a charged particle, electro-static discharge (ESD), and/or the like. Operation of the circuit is then simulated over a set of input cycles based on the initial charge(s). To this extent, the non-equilibrium initial condition solution enables the state of the circuit to be controlled and solves the initial system based on these values. This capability is very useful to condition the circuit at a worst-case, best-case, and/or the like, status. Further, in one embodiment of the invention, a set of equations are provided to implement the non-equilibrium initial charge analysis, which provide a more efficient initialization of the circuit than current solutions.

Charge-based circuit analysis

Disclosed are embodiments of a system and of an associated method for estimating the leakage current of an electronic circuit. The embodiments analyze a layout of an electronic circuit in order to identify all driven and non-driven nets within the electronic circuit, to identify all of the driven net-bounded partitions within the electronic circuit (based on the driven and non-driven nets), and to identify, for each driven net-bounded partition, all possible states of the electronic circuit that can leak. Then, using this information, the embodiments estimate the leakage current of the electronic circuit. This is accomplished by first determining, for each state of each driven net-bounded partition, a leakage current of the driven net-bounded partition and a probability that the state will occur in the driven net-bounded partition during operation of the electronic circuit. Then, for each state of each driven net-bounded partition, the leakage current of the driven net-bounded partition and the state probability are multiplied together. The results are then aggregated.

System and method for estimating leakage current of an electronic circuit

A solution for analyzing a circuit using initial charge information is provided. In particular, one or more nodes in a design for the circuit is initialized with an initial charge. The charge can comprise a non-equilibrium charge, thereby simulating the history effect, the impact of a charged particle, electro-static discharge (ESD), and/or the like. Operation of the circuit is then simulated over the set of input cycles based on the initial charge(s). To this extent, the non-equilibrium initial condition solution enables the state of the circuit to be controlled and solves the initial system based on these values. This capability is very useful to condition the circuit at a worst-case, best-case, and/or the like, status. Further, in one embodiment of the invention, a set of equations are provided to implement the non-equilibrium initial charge analysis, which provide a more efficient initialization of the circuit than current solutions.

A method of estimating a leakage for a plurality of transistors in an integrated circuit that accounts for narrow channel effects includes determining an expected total leaking transistor width for the collection; determining an expected total number of leaking transistors for the collection; determining an average width of a leaking transistor from the expected total leaking transistor width and expected total number of leaking transistors; estimating a leakage for a transistor of the average width; and determining the estimated leakage for the collection of transistors by multiplying the leakage for a transistor of the average width by the expected total number of leaking transistors for the collection.

Method for estimating aggregate leakage of transistors

Growing community of inventors

Armonk, NY, United States of America

Bhavna Agrawal