International Business Machines Corporation

Globalfoundries Inc.

Globalfoundies Inc.

Globalfoundries U.S. Inc.

Solomon Assefa

Steven M Shank

Yurii A Vlasov

William M Green

Bruce Walter Porth

Marwan H Khater

William M J Green

Tymon Barwicz

Jessie Carrigan Rosenberg

Sivananda K Kanakasabapathy

Douglas Max Gill

Michael C Gaidis

Fengnian Xia

Joris Van Campenhout

Jeehwan Kim

Steven John Koester

Kuan-Neng Chen

Jin-Hong Park

Eugene John O'Sullivan

Eric Andrew Joseph

Min Yang

Jonathan Zanhong Sun

Edward William Kiewra

Jeffrey P Gambino

Stephen W Bedell

Chung H Lam

Ying Di Zhang

Jack Oon Chu

Christopher Vincent Jahnes

David William Abraham

Martin Michael Frank

Alexander V Rylyakov

William Joseph Gallagher

Clint Lee Schow

Jonathan E Proesel

John Patrick Hummel

Young-Hee Kim

George Gabriel Totir

Swetha Kamlapurkar

Yuri A Vlasov

Younghee Kim

Carol Reinholm

Yurri A Vlasov

Theodore Gerard Van Kessel

Komminist S Weldemariam

Levente Klein

Deborah A Neumayer

Philip Louis Trouilloud

Stuart Stephen Papworth Parkin

Sergio Adolfo Bermudez Rodriguez

Janusz Jozef Nowak

Christy Sensenich Tyberg

Gregory Costrini

Michael Joseph Rooks

Young-hee Kim

Nelson Kibichii Bore

Pratik P Joshi

Srihari Sridharan

Geoffrey Henry Siwo

Philip L Trouilloud

A first set of user data is received and a user profile is constructed based on the user data and in accordance with a sensitive service involving the user. A situational context is analyzed based on the first set of data. Personalized questions are generated, responsive to the user profile and to the situational context. The personalized questions are presented to a user corresponding to the user data and responses to same are received, including detection of user micro-expressions. The responses are analyzed, according to one or more machine learning models. A neural network model selects an action to be performed in response to analyzing the responses from the user; the action is a sensitive service involving the user. An apparatus is triggered to send a simple message service (SMS) message to a point of care service professional; the message recommends performance of the sensitive service on the user.

Enhanced user screening for sensitive services

Approaches for silicon photonics integration are provided. A method includes: forming at least one encapsulating layer over and around a photodetector; thermally crystallizing the photodetector material after the forming the at least one encapsulating layer; and after the thermally crystallizing the photodetector material, forming a conformal sealing layer on the at least one encapsulating layer and over at least one device. The conformal sealing layer is configured to seal a crack in the at least one encapsulating layer. The photodetector and the at least one device are on a same substrate. The at least one device includes a complementary metal oxide semiconductor device or a passive photonics device.

Silicon photonics integration method and structure

An encapsulated integrated photodetector waveguide structures with alignment tolerance and methods of manufacture are disclosed. The method includes forming a waveguide structure bounded by one or more shallow trench isolation (STI) structure(s). The method further includes forming a photodetector fully landed on the waveguide structure.

Integrated photodetector waveguide structure with alignment tolerance

The present invention discloses a spectrometer apparatus comprising a mobile device including an integrated camera, having a camera lens and an image sensor. The camera lens is located within a body of the mobile device that comprises a detachable housing coupled to the body of the mobile device. The detachable housing includes a first end and a second end opposed to the first end. The first end includes an optical input and the second end includes an opening that is substantially aligned with the camera lens. An optical spectrometer device is located within the housing and optically coupled to both the optical input at the first end of the housing and the camera lens at the second end of the housing. The optical spectrometer device receives a target image from the optical input and generates a spectral image that is received by the image sensor via the camera lens.

Mobile cellular spectroscopy

Growing community of inventors

Ossining, NY, United States of America

Solomon Assefa