A 2-week intercultural exchange program was held in Egypt from July 24th to August 6th where students from 6 countries - Egypt, Lebanon, United States, Germany, France, and Tunisia - shared meals, explored Egypt, developed intercultural communication skills, fostered mutual understanding, increased knowledge of other cultures, discussed identity and discrimination, broke down barriers, and made lifelong friendships.
- The document discusses using mobile and cloud OCR technology for capturing documents and extracting text data from customer interactions.
- It describes how ABBYY's mobile capture SDKs and cloud OCR services allow extracting text from documents photographed using mobile devices and processing them in the cloud.
- Examples of applications include processing bank documents, receipts, business cards, driver's licenses and more for banking, insurance, ERP, marketing and other industries.
Kelly Murillo is a registered nurse with a degree from the Community College of Baltimore County who is looking to join a team of nurses and doctors to demonstrate her passion for helping others. She has 10 years of work experience and raised two children while putting herself through nursing school, showing her dedication and value. She is excited at the prospect of joining a team as a registered nurse and will follow up next week regarding an opportunity discussed in her letter.
Numerical Solutions of Burgers' Equation Project ReportShikhar Agarwal
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This report summarizes the use of finite element methods to numerically solve Burgers' equation. It introduces finite element methods and the Galerkin method for approximating solutions. MATLAB codes are presented to solve example boundary value problems and differential equations. The method of quasi-linearization is also described for solving Burgers' equation numerically. The report concludes that finite element methods can accurately predict numerical solutions that are close to exact solutions for problems where no closed-form solution exists.
Steven A. Ballmer certified MUNESHWAR P DUTT as a Microsoft Certified Technology Specialist in Microsoft Dynamics NAV 2009 Installation and Configuration. Dutt completed the requirements for this certification on April 02, 2013 and was assigned certification number E225-2545.
This document provides an overview of a company's quality management systems and certifications. It discusses the company's implementation of food safety and quality standards like GMP, HACCP, ISO 22000, and FSSC 22000 between 2010-2016. It also lists the company's restaurants and introduces its social responsibility efforts.
The document discusses how deep learning requires a large amount of computing power and how its requirements are driving the convergence of high performance computing and hyperscale data centers. It notes that deep neural networks require orders of magnitude more computations per data byte than traditional algorithms. This large computational need, coupled with the growth of data centers and data volumes, means deep learning workloads will require specialized hardware designs across multiple levels, from silicon design to data center architecture. Heterogeneous computing resources optimized for deep learning will be needed both within and across servers and data centers to efficiently process large neural networks on big data.
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A 2-week intercultural exchange program was held in Egypt from July 24th to August 6th where students from 6 countries - Egypt, Lebanon, United States, Germany, France, and Tunisia - shared meals, explored Egypt, developed intercultural communication skills, fostered mutual understanding, increased knowledge of other cultures, discussed identity and discrimination, broke down barriers, and made lifelong friendships.
- The document discusses using mobile and cloud OCR technology for capturing documents and extracting text data from customer interactions.
- It describes how ABBYY's mobile capture SDKs and cloud OCR services allow extracting text from documents photographed using mobile devices and processing them in the cloud.
- Examples of applications include processing bank documents, receipts, business cards, driver's licenses and more for banking, insurance, ERP, marketing and other industries.
Kelly Murillo is a registered nurse with a degree from the Community College of Baltimore County who is looking to join a team of nurses and doctors to demonstrate her passion for helping others. She has 10 years of work experience and raised two children while putting herself through nursing school, showing her dedication and value. She is excited at the prospect of joining a team as a registered nurse and will follow up next week regarding an opportunity discussed in her letter.
Numerical Solutions of Burgers' Equation Project ReportShikhar Agarwal
?
This report summarizes the use of finite element methods to numerically solve Burgers' equation. It introduces finite element methods and the Galerkin method for approximating solutions. MATLAB codes are presented to solve example boundary value problems and differential equations. The method of quasi-linearization is also described for solving Burgers' equation numerically. The report concludes that finite element methods can accurately predict numerical solutions that are close to exact solutions for problems where no closed-form solution exists.
Steven A. Ballmer certified MUNESHWAR P DUTT as a Microsoft Certified Technology Specialist in Microsoft Dynamics NAV 2009 Installation and Configuration. Dutt completed the requirements for this certification on April 02, 2013 and was assigned certification number E225-2545.
This document provides an overview of a company's quality management systems and certifications. It discusses the company's implementation of food safety and quality standards like GMP, HACCP, ISO 22000, and FSSC 22000 between 2010-2016. It also lists the company's restaurants and introduces its social responsibility efforts.
The document discusses how deep learning requires a large amount of computing power and how its requirements are driving the convergence of high performance computing and hyperscale data centers. It notes that deep neural networks require orders of magnitude more computations per data byte than traditional algorithms. This large computational need, coupled with the growth of data centers and data volumes, means deep learning workloads will require specialized hardware designs across multiple levels, from silicon design to data center architecture. Heterogeneous computing resources optimized for deep learning will be needed both within and across servers and data centers to efficiently process large neural networks on big data.
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