Other

International Business Machines Corporation

Digital Networks North America, Inc.

Daniel Thornton Pierce

Andrew Ronald Freed

Sheng Hua Bao

William Scott Spangler

Michael D Pfeifer

Meenakshi Nagarajan

Richard L Martin

Mario J Lorenzo

Jerry Leroy Von Berge

David Martinez Iraola

Jeffrey Bernard Nowicki

Gerard Talatinian

Hans-Christoph Siegmann

Felix Andrea Meier

Robert J Celotta

John Unguris

According to embodiments of the present invention, methods, systems and computer readable media are provided, in a cognitive data processing system, for implementing a predictive analytics system that utilizes entity and non-entity information. A collection of content is processed to extract defined entities pertaining to one or more domains. Semantic relationships are determined between objects within the collection of content, wherein the objects include undefined entities. The defined entities and objects are resolved based on entity definitions and the semantic relationships to determine defined entities and undefined entities for a resulting data set. The resulting data set is processed to identify one or more relationships between a defined entity and an undefined entity.

Combining semantic relationship information with entities and non-entities for predictive analytics in a cognitive system

Systems, methods, and computer program products to perform an operation comprising receiving a policy document specifying a plurality of criteria, identifying, in a segment of unstructured text in the policy document, a criteria delimiter, creating a first portion and a second portion of the segment of unstructured text, wherein the first and second portions are created based on the criteria delimiter, wherein the first and second portions comprise a first criterion and a second criterion, respectively, and responsive to identifying an anaphora in the second portion of the segment of unstructured text that is related to a term in the first portion of the segment of unstructured text, combining the first criterion and the second criterion into a composite criterion.

Criteria modification to improve analysis

Method and system for processing a modulated WIR input signal. A digital device includes an input receiving circuit. This circuit receives the modulated WIR input signal and detects a modulation carrier pulse burst in the WIR input signal and generates a valid pulse signal. A pulse generating circuit is operatively coupled to the input receiving circuit and generates a pulse signal of a specific duration based in part on the pulse burst.

Method and apparatus for wired infrared demodulation

Provided herein are a device and a method for determining the spin polarization of an electron beam where the device and method contemplate diffusely backscattering the beam from an electron opaque target, at a kinetic energy less than 10,000 electron volts, collecting the scattered electrons which may be of a preselected energy range and within a predetermined solid angle relative to the target and the collector, and measuring the number of scattered electrons which were collected.

Apparatus and method for electron spin polarization detection

The invention concerns a method of producing intense beams of polarized free electrons in which a semiconductor with a spin orbit split valence band and negative electron affinity is used as a photocathode and irradiated with circularly polarized light.

Source of spin polarized electrons

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Gaithersburg, MD, United States of America

Daniel Thornton Pierce