Ankur K Agrawal

US Patent:

20140020835, Jan 23, 2014

Filed:

Nov 1, 2012

Appl. No.:

13/666224

Inventors:

Kenneth S. Collins - San Jose CA, US
Kartik Ramaswamy - San Jose CA, US
Shahid Rauf - Pleasanton CA, US
James D. Carducci - Sunnyvale CA, US
Ankur Agrawal - Fremont CA, US
Jason A. Kenney - Sunnyvale CA, US
Leonid Dorf - San Jose CA, US
Ajit Balakrishna - Sunnyvale CA, US
Richard Fovell - San Jose CA, US

Assignee:

APPLIED MATERIALS, INC. - Santa Clara CA

International Classification:

C23F 1/08
C23C 14/28

US Classification:

15634537, 15634548, 118723 VE

Abstract:

A plasma reactor has an overhead multiple coil inductive plasma source with symmetric RF feeds and a symmetrical chamber exhaust with plural struts through the exhaust region providing access to a confined workplace support. A grid may be included for masking spatial effects of the struts from the processing region.

US Patent:

20220416503, Dec 29, 2022

Filed:

Jun 24, 2021

Appl. No.:

17/357938

Inventors:

- Santa Clara CA, US
Aditi MALLIK - Cupertino CA, US
Saeed FATHOLOLOUMI - Los Gatos CA, US
Ankur AGRAWAL - Chandler AZ, US
Anna PRAKASH - Chandler AZ, US
Hemant Mahesh SHAH - Hillsboro OR, US
Raiyomand ASPANDIAR - Portland OR, US
Neil Raymund CARANTO - Santa Clara CA, US

International Classification:

H01S 5/024
H01S 5/34

Abstract:

Embodiments described herein may be related to apparatuses, processes, and techniques related to thermal routing techniques within a hybrid silicon laser or photonics integrated circuit to facilitate heat extraction during laser operation. In particular dual metal layers, with a top metal layer thermally coupled with P node above a quantum well and extending substantially under a heat sink, and a bottom metal layer thermally coupled with an N node, where the top metal layer and the bottom metal layer are not electrically coupled. Other embodiments may be described and/or claimed.

US Patent:

20210066882, Mar 4, 2021

Filed:

Aug 29, 2019

Appl. No.:

16/554789

Inventors:

- Santa Clara CA, US
Susheel G. Jadhav - Los Gatos CA, US
Ankur Agrawal - Chandler AZ, US
Quan A. Tran - Fremont CA, US
Raiyomand F. Aspandiar - Portland OR, US
Kenneth M. Brown - Tempe AZ, US

Assignee:

INTEL CORPORATION - Santa Clara CA

International Classification:

H01S 5/022
G02F 1/015

Abstract:

An integrated circuit assembly includes a support (e.g., package substrate or circuit board) and a semiconductor die including a device. The semiconductor die is mounted to the support with the device facing the support. The device can be, for example, a quantum well laser device or a photonics device. A layer of decoupling material is on the device. An underfill material is between the semiconductor die and the support, where the decoupling material is between the device and the underfill material. The decoupling layer decouples stress from transferring from the underfill material into the device. For example, the decoupling material forms only weak bonds with the underfill material and/or a passivation layer on the device, in an embodiment. Weak bonds include non-covalent bonds and non-ionic bonds, for example. The decoupling material can be, for instance, a PTFE film, a poly(p-xylylene) film, a fluorocarbon, or a compound lacking free hydroxyl groups.

US Patent:

20190339938, Nov 7, 2019

Filed:

May 7, 2018

Appl. No.:

15/973511

Inventors:

- Armonk NY, US
Kailash Gopalakrishnan - San Jose CA, US
Jungwook Choi - Elmsford NY, US
Silvia M. Mueller - Altdorf, DE
Ankur Agrawal - White Plains NY, US
Daniel Brand - Millwood NY, US

Assignee:

International Business Machines Corporation - Armonk NY

International Classification:

G06F 7/483
G06F 7/499
G06N 3/08

Abstract:

A specialized circuit is configured for floating point computations using numbers represented by a very low precision format (VLP format). The VLP format includes less than sixteen bits and is apportion into a sign bit, exponent bits (e), and mantissa bits (p). The configured specialized circuit is operated to store an approximation of a numeric value in the VLP format, where the approximation is represented as a function of a multiple of a fraction, where the fraction is an inverse of a number of discrete values that can be represented using only the mantissa bits.

US Patent:

20170011029, Jan 12, 2017

Filed:

Sep 20, 2016

Appl. No.:

15/270432

Inventors:

- Menlo Park CA, US
Rabia TURAN - Redwood Shores CA, US
Brian LUE - Mountain View CA, US
Ankur AGRAWAL - Sunnyvale CA, US
Kevin PERILLO - San Jose CA, US

International Classification:

G06F 17/30
G06Q 50/00
G06N 99/00

Abstract:

Embodiments of the present invention provide a system, method, and article of hybrid human machine learning system with tagging and scoring techniques for sentiment magnitude scoring of textual passages. The combination of machine learning systems with data from human pooled language extraction techniques enable the present system to achieve high accuracy of human sentiment measurement and textual categorization of raw text, blog posts, and social media streams. This information can then be aggregated to provide brand and product strength analysis. A data processing module is configured to get streaming data and then tag the streaming data automatically using the machine learning output. A crowdsourcing module is configured to select a subset of social media posts that have been previously stored in the database, and present the social media posts on the web, which then tags each social media with a selected set of attributes. A score aggregator module configured to provide a score based on a user's feedback for each social media post.

US Patent:

20140337257, Nov 13, 2014

Filed:

May 9, 2014

Appl. No.:

14/274567

Inventors:

- Menlo Park CA, US
Rabia TURAN - Redwood Shores CA, US
Brian LUE - Mountain View CA, US
Ankur AGRAWAL - Sunnyvale CA, US
Kevin PERILLO - San Jose CA, US

Assignee:

METAVANA, INC. - Menlo Park CA

International Classification:

G06N 99/00
G06F 17/30

US Classification:

706 12

Abstract:

Embodiments of the present invention provide a system, method, and article of hybrid human machine learning system with tagging and scoring techniques for sentiment magnitude scoring of textual passages. The combination of machine learning systems with data from human pooled language extraction techniques enable the present system to achieve high accuracy of human sentiment measurement and textual categorization of raw text, blog posts, and social media streams. This information can then be aggregated to provide brand and product strength analysis. A data processing module is configured to get streaming data and then tag the streaming data automatically using the machine learning output. A crowdsourcing module is configured to select a subset of social media posts that have been previously stored in the database, and present the social media posts on the web, which then tags each social media with a selected set of attributes. A score aggregator module configured to provide a score based on a user's feedback for each social media post.

Author:

Ankur Agrawal

ISBN #:

8175411848