International Business Machines Corporation

Albert Akhriev

Sergiy Zhuk

Thanh Lam Hoang

Emanuele Ragnoli

Davide Pasetto

Fearghal O'Donncha

Stephen Michael Moore

Ngoc Minh Tran

Amadou Ba

Sean A McKenna

Bradley Eck

Paulito Pedregosa Palmes

Fearghal O'donncha

Karol W Lynch

Tuan Dinh

Ronan Bohan

An embodiment establishes a knowledge base based at least in part on sensor data received from a network. The embodiment generates a predicted performance parameter for a designated entity of the network using a first machine learning algorithm. The embodiment compares the predicted performance parameter to an actual performance parameter and determines whether the actual performance parameter exceeds a threshold difference from the predicted performance parameter. The embodiment generates, responsive to determining that the threshold difference is exceeded, incentive data using a second machine learning algorithm, where the incentive data is representative of an action selected by the second machine learning algorithm using an iterative optimization process, and where the iterative optimization process comprises performing the action and determining that the actual performance parameter approaches the threshold value in response to the action.

Automated detection of network anomalies and generation of optimized anomaly-alleviating incentives

Embodiments for dynamically distributing loads in computational rendering in a computing environment. A computational rendering model on a computational rendering to exploit nested recursive parallelism within a heterogenous computing architecture to enable communication overlap, memory transfer, and data and task management, wherein the computational rendering model is developed for the heterogenous computing architecture.

Dynamic distribution of loads across heterogeneous computing structures in computational rendering

Embodiments for intelligent unsupervised learning of visual alphabets by one or more processors are described. A visual three-dimensional (3D) alphabet may be learned from one or more images using a machine learning operations. A set of 3D primitives representing the visual 3D alphabet may be provided.

Unsupervised learning of three dimensional visual alphabet

A method for analyzing acoustic/elastic waves to determine subsurface structure of the earth includes receiving a plurality of observations of a seismic acoustic/elastic wave-field from a plurality of sensors; generating a plurality of Bernstein grids of differing resolutions; calculating a data misfit of the plurality of observations with respect to an initial subsurface structure model defined in terms of conic combinations of Bernstein polynomials on a lowest resolution Bernstein grid, and mapping the data misfit from the Bernstein grid onto a Lagrangian grid; updating the subsurface structure model by minimizing the data misfit between the plurality of observations and observations obtained by a simulation; increasing resolution of the Bernstein grid and recomputing the updated subsurface structure model on the increased resolution Bernstein grid; and mapping the recomputed subsurface structure model onto the Lagrangian grid.

Multi-scale manifold learning for full waveform inversion

A method and system for enabling interaction with unmodified 3D graphics applications using face-tracking. The method includes determining a position of a viewer using face-tracking component and transforming a viewer's position to application coordinates. The application coordinates are passed to a wrapper library around a 3D graphics application's library. The 3D graphic application's instruction stream is altered to display 3D graphics on a display with scenes rendered as seen from the viewer's position. The 3D graphics application is forced to load a wrapper library which overloads functions of the underlying 3D graphics application library. In this way, the 3D graphics application can be an existing unmodified 3D graphics application provided on a computer system.

Addition of immersive interaction capabilities to otherwise unmodified 3D graphics applications

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Mulhuddart, Ireland

Albert Akhriev