International Business Machines Corporation

Globalfoundries Inc.

Globalfoundries U.S. Inc.

John Maxwell Cohn

David James Hathaway

Sebastian Theodore Ventrone

Paul Steven Zuchowski

Thomas Gregory Sopchak

Alvar Antonio Dean

David P Vallett

Leah M P Pastel

James William Adkisson

Jason D Hibbeler

Gustavo Enrique Tellez

Fook-Luen Heng

Robert J Allen

Ivan L Wemple

Amir H Farrahi

Greg Bazan

Peter Anton Habitz

Scott Whitney Gould

Ulrich Alfons Finkler

Matthew Sean Grady

Scott Alan Tetreault

Thomas M Lepsic

Veena S Pureswaran

Lars W Liebmann

Kenneth Joseph Goodnow

Mark Alan Lavin

James A Culp

Douglas Willard Stout

Juergen Koehl

Rama Nand Singh

William C Leipold

Leendert M Huisman

Gregory Allen Northrop

Phillip J Nigh

John Chester Malinowski

Jagannathan Narasimhan

Leon Stok

Nakgeuon Seong

Karl V Swanke

Mark J Flemming

Clifford A Pickover

Lawrence Alfred Clevenger

Anthony K Stamper

Jeffrey P Gambino

James R Kozloski

Maharaj Mukherjee

Jed Hickory Rankin

Cyril Cabral, Jr

Eren Kursun

Joseph N Kozhaya

Anthony Richard Bonaccio

Anna Wanda Topol

Jinjun Xiong

William Joseph Murphy

Susan K Lichtensteiger

Nirmit V Desai

Patrick Edward Perry

Christopher B Reynolds

Daniel C Cole

Yoshifumi Sakamoto

Rafael Blanco

Jose L P Neves

Kentaro Aota

Rick A Hamilton, Ii

Dinesh C Verma

Mark David Jaffe

Kerry Bernstein

Peter George Finn

Igor Arsovski

Wayne Harvey Woods, Jr

Jeffrey G Hemmett

Samuel Scott Adams

David E Lackey

Suparna Bhattacharya

Edward W Conrad

Krishnan Santhana Rengarajan

Ronald Dennis Rose

Gary Paul Noble

Ninad D Sathaye

Markus Buehler

Sridhar H Rangarajan

Orest Bula

Martin G Kienzle

Patrick H Buffet

Larry Wissel

Thiago Bianchi

Shahrokh Daijavad

Mark Eliot Masters

Lior Limonad

Leah M Pastel

Marc Ph Stoecklin

Maroun Kassab

Rani Narayan

Judith H McCullen

Diyanesh Babu C Vidyapoornachary

James Venuto

Archibald John Allen

Cole E Zemke

Sarah C Braasch

Leah M Pfeifer Pastel

A computer implemented method for evaluating autonomous vehicle safety that includes defining criteria for safety of autonomous vehicles in a test space, and dividing the test space into an intended test space and a un-intended test space for the criteria for safety of autonomous vehicles. The intended test space includes characterizations for the autonomous vehicle that can be quantified, and the un-intended test space includes characterizations that are not quantifiable. The method further includes measuring the safety of the autonomous vehicles in the intended test space. The applying the un-intended test space is applied to the intended test space as feedback into the intended test space; and evaluating the intended test space including the feedback from the unintended test space using a combined simulation of peripheral vehicles and autonomous vehicles to provide the evaluation of autonomous vehicle safety.

Autonomous driving evaluation using data analysis

A method of determining a range between two devices, which can for instance be wireless devices, such as handheld devices. The method performs a double-sided two-way ranging protocol at the two devices. This protocol causes the two devices to transmit and receive signals, with a view to determining the range between the two devices, using a two-way ranging methods, where each of the signals is a composite tone generated as a composition of two waveforms that are timewise separated by a gap to form a bipolar waveform. The gap is a zero or low-amplitude signal, contrasting with the two waveforms. The particular pattern in the correlation footprint eases the determination of the time of flight. The method can be used to measure social distancing.

Double-sided two-way ranging protocol based on composite, ultrasonic tones

An approach is provided in which the approach calculates at least one weighting factor based on a word frequency analysis of an unlabeled document against a set of word frequencies corresponding to a set of labeled documents. The approach computes an a posteriori classification probability of the unlabeled document based on the at least one weighting factor, and creates an inferred classifier based on the a posteriori classification probability. The approach classifies the unlabeled classifier using the inferred classifier.

Infer text classifiers for large text collections

A method, computer system, and computer program product for cognitive elevator advertisements are provided. The embodiment may include identifying one or more passengers utilizing real-time sensor data. The embodiment may also include determining a preference value of each identified passenger for a plurality of product categories based on a plurality of data related to past purchase histories or purchasing patterns received from a plurality of databases simultaneously or almost simultaneously. The embodiment may further include computing corrected passenger preference values for the plurality of product categories based on unprejudiced preference values of the passengers multiplied by the preference values assigned to each product category. The embodiment may also include determining one or more targeted advertisements for one or more targeted passengers based on each computed passenger preference values. The embodiment may further include displaying one or more advertisements on one or more display screens within an elevator based on the one or more targeted advertisements.

Cognitive elevator advertisements

According to an embodiment, a method for registering a component is provided. The method includes receiving a request for registration of the component. The method also includes acquiring registration information of the component in response to the request by communicating directly with the component and exacting the registration information and modifying a registration entry associated with the component in a registration database according to the registration information.

Managing component ownership information across a corresponding life cycle

A scoped search engine is disclosed. The scoped search engine includes a memory unit storing reference data records. The scoped search engine also includes a data comparison unit that searches the reference data records using different searches. The scoped search engine further includes a match analysis unit that combines result data from the different searches and determines a scope for a subsequent search based on the combined result data.

Scoped search engine

Systems and methods are provided for implementing a crystal oscillator to monitor and control semiconductor fabrication processes. More specifically, a method is provided for that includes performing at least one semiconductor fabrication process on a material of an integrated circuit (IC) disposed within a processing chamber. The method further includes monitoring by at least one electronic oscillator disposed within the processing chamber for the presence or absence of a predetermined substance generated by the at least one semiconductor fabrication process. The method further includes controlling the at least one semiconductor fabrication process based on the presence or absence of the predetermined substance detected by the at least one electronic oscillator.

Crystal oscillator and the use thereof in semiconductor fabrication

A computing device and method is usable to augment search queries with data obtained from sensors. The computing device comprises a processor configured to receive, from a query source, a search query comprising a query concept. The processor is further configured to determine a context of the query concept expressed in the query. The processor is further configured to determine a response to the query. The processor is further configured to validate the context of the query using at least one sensor. The processor is further configured to transmit the response to the query to the query source.

Sensor based context augmentation of search queries

A computing device comprising a processor configured to receive a natural language search query and determine a first response to the natural language search query, the first response having a first confidence level. The processor is further configured to determine a sensor class effecting an information gain on the natural language search query according to a table of training data. The processor is further configured to augment the natural language search query to form an augmented search query according to data received from at least one sensor that is a member of the sensor class and determine a second response to the augmented search query, the second response having a second confidence level. The processor is further configured to store information to the table of training data that associates the at least one sensor with a value of a change between the first confidence level and the second confidence level.

An approach for enabling autonomous decentralized peer-to-peer telemetry (ADEPT). A first ADEPT peer senses ADEPT peers to interconnect where the ADEPT peers are identified as ADEPT light peer, ADEPT standard peer and ADEPT peer exchange based on respectively increasing IoT device capability. The first ADEPT peer sends and receives requests to interconnect to the ADEPT peers based on messaging. The first ADEPT peer transfers files where the files are distributed toward peer-to-peer networks, creating peer consensus and interconnecting the first ADEPT peer to the ADEPT peers based on the peer consensus. ADEPT peers execute transactions and contracts by decentralized peer to peer consensus network and consensus ledger to enable autonomous device coordination.

Autonomous decentralized peer-to-peer telemetry

A method for utilizing an automated lighting system having a plurality of lighting fixtures with associated light sensors to determine occupancy of a plurality of occupants in an area of a building. Lighting level information is received from the lighting fixture sensors of the automated lighting system identifying lighting variations in an area to form a time-based history of lighting level variations. Analytic analysis is applied to the time-based history of lighting level variations to determine a time-based occupancy in the area.

Utilizing automated lighting system to determine occupancy

An approach, for autonomous self-servicing of decentralized peer-to-peer devices in an autonomous decentralized peer-to-peer telemetry (ADEPT) environment. A first ADEPT peer connects to ADEPT peers based on peer consensus. The first ADEPT peer determines service needs based on receiving diagnostic inputs. The first ADEPT peer identifies service providers based on consensus service contracts associated to the service needs. The first ADEPT peer creates service orders based on the service providers and output the service orders to service providers based on the consensus service contracts.

Device self-servicing in an autonomous decentralized peer-to-peer environment

An acoustic monitoring system includes a portable acoustic detection device, a sound analysis device and a confidence level device. The portable acoustic detection device is capable of receiving sound at one or more locations near a sound-producing device. The sound analysis device receives the sound from the portable sound detection device, determines a diagnosis based on a comparison between the sound and pre-recorded sound data, and outputs the diagnosis to the portable acoustic detection device. The sound analysis device also determines a corrective action for inhibiting the sound, which is also output to the portable sound detection device. The confidence level device determines a confidence level of the diagnosis indicating a likelihood that the diagnosis is successfully diagnosed.

Acoustic diagnosis and correction system

Growing community of inventors

Richmond, VT, United States of America

John Maxwell Cohn