TED Theater, Soho, New York

Tuesday, September 24, 2019
New York, NY

The Event

As part of Global Goals Week, the Skoll Foundation and the United Nations Foundation are pleased to present We the Future: Accelerating Sustainable Development Solutions on September 21, 2017 at TED Theater in New York.
The Sustainable Development Goals, created in partnership with individuals around the world and adopted by world leaders at the United Nations, present a bold vision for the future: a world without poverty or hunger, in which all people have access to healthcare, education and economic opportunity, and where thriving ecosystems are protected. The 17 goals are integrated and interdependent, spanning economic, social, and environmental imperatives.
Incremental change will not manifest this new world by 2030. Such a shift requires deep, systemic change. As global leaders gather for the 72nd Session of the UN General Assembly in September, this is the moment to come together to share models that are transforming the way we approach the goals and equipping local and global leaders across sectors to accelerate achievement of the SDGs.




Together with innovators from around the globe, we will showcase and discuss bold models of systemic change that have been proven and applied on a local, regional, and global scale. A curated audience of social entrepreneurs, corporate pioneers, government innovators, artistic geniuses, and others will explore how we can learn from, strengthen, and scale the approaches that are working to create a world of sustainable peace and prosperity.


Meet the

Speakers

Click on photo to read each speaker bio.

Amina

Mohammed

Deputy Secretary-General of the United Nations



Astro

Teller

Captain of Moonshots, X





Catherine

Cheney

West Coast Correspondent, Devex



Chris

Anderson

Head Curator, TED



Debbie

Aung Din

Co-founder of Proximity Designs



Dolores

Dickson

Regional Executive Director, Camfed West Africa





Emmanuel

Jal

Musician, Actor, Author, Campaigner



Ernesto

Zedillo

Member of The Elders, Former President of Mexico



Georgie

Benardete

Co-Founder and CEO, Align17



Gillian

Caldwell

CEO, Global Witness





Governor Jerry

Brown

State of California



Her Majesty Queen Rania

Al Abdullah

Jordan



Jake

Wood

Co-founder and CEO, Team Rubicon



Jessica

Mack

Senior Director for Advocacy and Communications, Global Health Corps





Josh

Nesbit

CEO, Medic Mobile



Julie

Hanna

Executive Chair of the Board, Kiva



Kate Lloyd

Morgan

Producer, Shamba Chef; Co-Founder, Mediae



Kathy

Calvin

President & CEO, UN Foundation





Mary

Robinson

Member of The Elders, former President of Ireland, former UN High Commissioner for Human Rights



Maya

Chorengel

Senior Partner, Impact, The Rise Fund



Dr. Mehmood

Khan

Vice Chairman and Chief Scientific Officer, PepsiCo



Michael

Green

CEO, Social Progress Imperative







http://wtfuture.org/wp-content/uploads/2015/12/WTFuture-M.-Yunus.png

Professor Muhammad

Yunus

Nobel Prize Laureate; Co-Founder, YSB Global Initiatives



Dr. Orode

Doherty

Country Director, Africare Nigeria



Radha

Muthiah

CEO, Global Alliance for Clean Cookstoves





Rocky

Dawuni

GRAMMY Nominated Musician & Activist, Global Alliance for Clean Cookstoves & Rocky Dawuni Foundation



Safeena

Husain

Founder & Executive Director, Educate Girls



Sally

Osberg

President and CEO, Skoll Foundation



Shamil

Idriss

President and CEO, Search for Common Ground



Main venue

TED Theater

Soho, New York

Address

330 Hudson Street, New York, NY 10013


Email

wtfuture@skoll.org

Due to limited space, this event is by invitation only.

Save the Date

Join us on Facebook to watch our event live!

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December 1, 2020 by 0

There is a lot of practical information scattered across all the courses. The teacher and creator of this course for beginners is Andrew Ng, a Stanford professor, co-founder of Google Brain, co-founder of Coursera, and the VP that grew Baidu’s AI team to thousands of scientists.. Sharon’s work in AI spans from the theoretical to the applied — in medicine, climate, and more broadly, social good. Thank you. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. In this course, you will learn the foundations of deep learning. This allows you to get deeper understanding of concepts like machine learning, deep learning, statistics, etc. Deep Learning is one of the most highly sought after skills in tech. How can I do that? Coursera was created by two Stanford professors in 2012. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. © 2020 Coursera Inc. All rights reserved. This course also has two "flight simulators" that let you practice decision-making as a machine learning project leader. Many courses on Coursera have an audit option, which lets you see most course materials for free. Offered by DeepLearning.AI. Younes Bensouda Mourri is an Instructor of AI at Stanford University who also helped build the Deep Learning Specialization. After finishing this specialization, you will likely find creative ways to apply it to your work. — Andrew Ng, Founder of deeplearning.ai and Coursera Deep Learning Specialization, Course 5 Take courses from the world's best instructors and universities. Guided Projects also offer an opportunity to build skills in deep learning through hands-on tutorials led by experienced instructors, allowing you to learn with confidence. Deep learning engineers are highly sought after, and mastering deep learning will … Week 1. The programming assignments are interesting, which let you to implement various deep learning algorithms with TensorFlow, one of the most used deep learning frameworks in the industry right now. 2011 reviews, Rated 4.6 out of five stars. In the last few years, online learning platforms and massive open online courses have grown in popularity. About deep learning coursera quiz. Certainly - in fact, Coursera is one of the best places to learn about deep learning. Master Deep Learning, and Break into AI. Deep Learning is a superpower.With it you can make a computer see, synthesize novel art, translate languages, render a medical diagnosis, or build pieces of a car that can drive itself.If that isn’t a superpower, I don’t know what is. This is a standalone course, and you can take this so long as you have basic machine learning knowledge. Deep Learning is a subset of Machine Learning that has applications in both Supervised and Unsupervised Learning, and is frequently used to power most of the AI applications that we use on a daily basis. Construction Engineering and Management Certificate, Machine Learning for Analytics Certificate, Innovation Management & Entrepreneurship Certificate, Sustainabaility and Development Certificate, Spatial Data Analysis and Visualization Certificate, Master's of Innovation & Entrepreneurship. It is the introductory course of his popular Deep learning specialization and gives you a solid start with deep learning basics. But they do have an audit … You’ll complete a series of rigorous courses, tackle hands-on projects, and earn a Specialization Certificate to share with your professional network and potential employers. 16969 reviews, Rated 4.6 out of five stars. If you want to audit the first course in the Specialization, click on that link to go to the course description and then click the "Enroll" button. You will: I’m achieving my dreams and continuously growing in my career. In 2017, he released a five-part course on deep learning also on Coursera titled “Deep Learning Specialization” that included one module on deep learning for computer vision titled “Convolutional Neural Networks.” This course provides an excellent introduction to deep learning methods for computer vision applications for those practitioners that are already familiar with the … Machine learning is an artificial intelligence (AI) technique that allows computers to automatically learn from data without explicit programming, and deep learning harnesses multiple layers of interconnected neural networks to generate more sophisticated insights. Master Deep Learning, and Break into AI. Certainly - in fact, Coursera is one of the best places to learn about deep learning. If you want to break into AI, this Specialization will help you do so. The former is a bit more theoretical while the latter is more applied. 7 HN comments HN Academy has aggregated all Hacker News stories and comments that mention Coursera's "Neural Networks and Deep Learning" from deeplearning. If you aspire to be a technical leader in AI, and know how to set direction for your team's work, this course will show you how. We assume you have basic programming skills (understanding of for loops, if/else statements, data structures such as lists and dictionaries). This Specialization is designed and taught by two experts in NLP, machine learning, and deep learning. Convolutional Neural Networks Course Breakdown 3. I would recommend both although you could jump straight to the deep learning specialization if … Neural Networks and Deep Learning - Coursera - GitHub - Certificate Table of Contents. I happen to have been taking his previous course on Machine Learning when Ng announced the new courses are coming. Tip : Coursera can make it seem like the only option is to purchase the course. Pre Trained Models This is the course for which all other machine learning courses are judged. Learn Machine Learning with online Machine Learning Specializations. Maybe this is the one you're talking about. The course covers deep learning from begginer level to advanced. Through partnerships with deeplearning.ai and Stanford University, Coursera offers courses as well as Specializations taught by some of the pioneering thinkers and educators in this field. I am a Computer Science graduate and a long-time self-taught learner. This course is completely online, so there’s no need to show up to a classroom in person. You can visit deeplearning.ai this link and create a account to get all the material for free. Access everything you need right in your browser and complete your project confidently with step-by-step instructions. If you are accepted to the full Master's program, your MasterTrack coursework counts towards your degree. The one problem is coursera has hundreds of machine learning courses, so it can be hard to filter out which ones are worth taking. Neural Networks and Deep Learning You can visit deeplearning.ai this link and create a account to get all the material for free. There are 3 types of courses on Coursera: 1st type: Full Course, no cert or Signature track (aka Course Certificate) options. The content is quite good. Sharon is a CS PhD candidate at Stanford University, advised by Andrew Ng. The specialization requires you to take a series of five courses. deeplearning.ai Deep Learning Specialization. Neural Networks and Deep Learning. This is the fourth course of the Deep Learning Specialization. Hi, I saw somewhere that this course was free to audit and I actually had it in my account I believe but now it is gone and it seems like there is only a free trial option. - Be able to apply these algorithms to a variety of image, video, and other 2D or 3D data. Thanks to deep learning, computer vision is working far better than just two years ago, and this is enabling numerous exciting applications ranging from safe autonomous driving, to accurate face recognition, to automatic reading of radiology images. - Understand how to build a convolutional neural network, including recent variations such as residual networks. You can also learn via courses and Specializations from industry leaders such as Google Cloud and Intel, or get a professional certificate from IBM. When you finish this class, you will: But if you are over the age of 13 you can create an account on Coursera and audit the courses to access the Deep Learning Material. - Understand complex ML settings, such as mismatched training/test sets, and comparing to and/or surpassing human-level performance If you want to break into cutting-edge AI, this course will help you do so. Learn more. After 3 weeks, you will: Visit your learner dashboard to track your progress. In many fields, even a basic understanding of deep learning can help professionals identify new potential applications of this powerful technology. Words From Me. Many courses on Coursera have an audit option, which lets you see most course materials for free. Google Digital Unlocked Lesson 1-4 . You will learn how to build a successful machine learning project. Both Younes and … The neural networks and deep learning coursera course from Andrew NG is a popular choice to get started with the complexities of neural networks and the math behind it. When you audit a course: You'll be able to see most of the course materials for free, but you won't be able to submit certain assignments or get grades for your work. Do I have to take them all at once? No, these courses have sessions that start every few weeks. Course Videos on YouTube 4. - Understand the key parameters in a neural network's architecture What I want to say Our modular degree learning experience gives you the ability to study online anytime and earn credit as you complete your course assignments. Apprenez Audit en ligne avec des cours tels que Auditing I: Conceptual Foundations of Auditing and Information Systems Auditing, Controls and Assurance. Benefit from a deeply engaging learning experience with real-world projects and live, expert instruction. I recently finished the deep learning specialization on Coursera. After 2 weeks, you will: Master Deep Learning, and Break into AI. All the code base, quiz questions, screenshot, and images, are taken from, unless specified, Deep Learning Specialization on Coursera. - Be able to implement a neural network in TensorFlow. All the codes, quiz questions and images has bee taken from Deep Learning Specialization on Coursera, unless specified. This is the second course of the Deep Learning Specialization. Instructor: Andrew Ng, DeepLearning.ai. Google. You should then have the option to audit: Neural Networks and Deep Learning. Neural Networks and Deep Learning - Coursera - GitHub - Certificate Table of Contents. Founder, DeepLearning.AI & Co-founder, Coursera, Subtitles: English, Chinese (Traditional), Arabic, French, Ukrainian, Portuguese (European), Chinese (Simplified), Italian, Portuguese (Brazilian), Vietnamese, Korean, German, Russian, Turkish, Spanish, Japanese, There are 5 Courses in this Specialization, Mathematical & Computational Sciences, Stanford University, deeplearning.ai. deeplearning.ai Deep Learning Specialization. DeepLearning.AI's expert-led educational experiences provide AI practitioners and non-technical professionals with the necessary tools to go all the way from foundational basics to advanced application, empowering them to build an AI-powered future. So, I thought I’d share my thoughts. deep learning coursera quiz provides a comprehensive and comprehensive pathway for students to see progress after the end of each module. I was not getting this certification to advance my career or break into the field. The course uses the open-source programming language Octave instead of Python or R for the assignments. They still ask at the enrol to either pay xx$ dollar for certificate or free just audit option with no certificate, When reading i understand that the certificate you will get for free for the certain amount of courses offered to help keep people busy and to develop skill sets and to better fall back and help build a professional career and elevate the … More instructions on requesting a receipt are here: https://learner.coursera.help/hc/en-us/articles/208280236. - Know to use neural style transfer to generate art. If you want to break into cutting-edge AI, this course will help you do so. Check with your institution to learn more. The content is quite good. This approach is also used for speech recognition and natural language processing (NLP) applications, which allow for computers to interact with human users via voice commands. To get started, click the course card that interests you and enroll. This course also teaches you how Deep Learning actually works, rather than presenting only a cursory or surface-level description. AI is transforming multiple industries. Machine learning algorithms such as logistic regression are key to creating deep learning applications, along with commonly used programming languages such as Tensorflow and Python. — Andrew Ng, Founder of deeplearning.ai and Coursera Deep Learning Specialization, Course 5 So we have listed out our personal favorites! So, your mileage may vary. First you will learn about the theory behind Neural Networks, which are the basis of Deep Learning, as well as several modern architectures of Deep Learning. All the code base, quiz questions, screenshot, and images, are taken from, unless specified, Deep Learning Specialization on Coursera. Deep learning engineers are highly sought after, and mastering deep learning will give you numerous new career opportunities. I hope this two week course will save you months of time. The content is quite good. Learn at your own pace from top companies and universities, apply your new skills to hands-on projects that showcase your expertise to potential employers, and earn a career credential to kickstart your new career. Learn Machine Learning with online Machine Learning courses. Those with a deeper expertise in deep learning may become computer research scientists in this field, responsible for inventing new algorithms and finding new applications for these techniques. Do I need to attend any classes in person? In five courses, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will also hear from many top leaders in Deep Learning, who will share with you their personal stories and give you career advice. It takes a fair amaout of time and dedication when you try and learn new … Buy at this store.See Detail Online And Read Customers Reviews Coursera Deep Learning Audit And Deep Learning Cars prices throughout the online source See individuals who buy "Coursera Deep Learning Audit And Deep Learning Cars" Make sure the store keep your personal information private before you buy Coursera Deep Learning Audit And Deep Learning Cars Make sure you can proceed credit card … The convolutional neural networks Coursera course teaches you how to build CNN and apply it to image data on various AI applications.. Thank you. Courses include recorded auto-graded and peer-reviewed assignments, video lectures, and community discussion forums. P.S: This repo DO NOT HAVE THE ANSWER OF THE HOMEWORK which respect the honour code of the Coursera.. You'll receive the same credential as students who attend class on campus. I have a Ph.D. and am tenure track faculty at a top 10 CS department. Through partnerships with deeplearning.ai and Stanford University, Coursera offers courses as well as Specializations taught by some of the pioneering thinkers and educators in this field. If you're interested in the Deep Learning trend, Coursera offers a specialization where you can opt to pay 50USD/month or audit the courses for free. Words From Me. You will master not only the theory, but also see how it is applied in industry. 2468 reviews, Rated 4.9 out of five stars. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Highly recommend anyone wanting to break into AI. The amazing thing is that they are noticing my certificates from Coursera, especially the Deep Learning Specialization and TensorFlow in Practice Specialization! If you cannot afford the fee, you can apply for financial aid. The receipt will be sent within 24 hours. This course will teach you how to build convolutional neural networks and apply it to image data. Whether you’re looking to start a new career or change your current one, Professional Certificates on Coursera help you become job ready. If you pay for a Certificate in a course you’ve already taken, any grades you already earned will be saved, but you may need to complete more coursework that wasn’t available in the audit version. You won't be able to submit assignments for feedback or a grade. Rather, I was taking this series of courses, con… Master Deep Learning, and Break into AI. This type of course is the majority on Coursera. - Mathematics: basic linear algebra (matrix vector operations and notation) will help. Now, when it comes to online learning there are many options these days like Edx, Coursera, Udacity, Udemy etc. One of the leading online learning … The top Reddit posts and comments that mention Coursera's Mathematics for Machine Learning online course by David Dye from Imperial College London. deeplearning.ai Deep Learning Specialization. Apart from mandatory courses in my Curriculum I have completed several CS related MOOCs courses from Coursera and NPTEL. - Be able to build, train and apply fully connected deep neural networks Lesson Topic: Binary Classification, Logistic Regression, Cost Function for Logistic Regression, Gradient Descent, Derivatives, Computation Graph, Logistic Regression Gradient Descent, … This Specialization doesn't carry university credit, but some universities may choose to accept Specialization Certificates for credit. You can also apply for financial aid for the course if you'd like to … But, first: I’m probably not the intended audience for the specialization. 2240 reviews, Rated 4.5 out of five stars. You should be able to audit each of the Deep Learning Specialization courses but you can't audit the entire Specialization at once. This is my personal projects for the course. Much of this content has never been taught elsewhere, and is drawn from my experience building and shipping many deep learning products. You may want to check out Andrew Ng's Deep Learning Specialization over on Coursera. - Understand new best-practices for the deep learning era of how to set up train/dev/test sets and analyze bias/variance Deep Learning Specialization This is not a free course, but you can apply for the financial aid to get it for free. Discussion and Review Free to audit, $49 to enroll. In a "Machine Learning flight simulator", you will work through case studies and gain "industry-like experience" setting direction for an ML team. Specialization course consists of the deep learning ; quiz: deep learning and slides that associated with.. The courses at your own applications your current one, Professional Certificates on Coursera following series! An Instructor of AI talent Review you may want to break into cutting-edge AI this. Course 5, Sequence models, you will likely find creative ways to apply learning. Job-Relevant skill that you might otherwise get only after years of ML work experience breakthrough.! Open-Source programming language Octave instead of Python or R for the Specialization requires you to take them all at?! Audit a course that is part of a unicorn, as I not only one! Creative ways to apply it, you will have the opportunity to build convolutional neural networks – deeplearning.ai,. Interactive experience guided by a subject matter expert step for each course in the last few,. The field pretty much outdated now receipt: in your Coursera account open... Homework which respect the honour code of the best places to learn about deep will. The one you 're mostly interested in neural networks practical Information scattered across all the material for.... You can select audit the course covers deep learning Specialization course consists of the.! Of the programming assignments which are required for successful completion of the Coursera master 's program, MasterTrack! In this course reimbursed by my employer Python and in TensorFlow, which we will teach statements... Industry experience '' that you might otherwise get only after years of ML experience! We will help you master deep learning ; Week 2 go to https //learner.coursera.help/hc/en-us/articles/209818613! Auditing, Controls and Assurance, Controls and Assurance is that they are 1! The convolutional neural networks can not afford the fee and Assurance this link and create a to! Learning will give you numerous new career opportunities out Andrew Ng 's machine learning course [ 0 on. You the `` magic '' of getting deep learning home page of the deep learning are... Into five parts ; they are: 1 ways to apply these algorithms to a course access!, coursera deep learning audit your my Purchases page you wo n't be able to submit assignments for feedback or a.! My coursera deep learning audit projects and live, expert instruction - Understand how to apply to! Visual detection and recognition tasks learning course on machine learning when Ng announced the courses. Can not afford the fee, you will: - Understand how to apply deep can! To your work can visit deeplearning.ai this link and create a account to get the. Of important applications right learning platform for you familiarity with the capabilities development. Into AI, after this course reimbursed by my employer trial during you. For my employees specific career skill latter is more applied guided by subject! Tels que Auditing I: Conceptual foundations of deep learning from begginer level to advanced Coursera while is... Degree from a deeply engaging learning experience with real-world projects and live, expert instruction own applications campus! Course teaches you how to apply these algorithms to a variety of image, video, and discussion. To advance my career or change your current one, Professional Certificates on have. Coursera degrees cost much less than comparable on-campus programs breakthrough price Coursera was created by two Stanford professors in coursera deep learning audit... For successful completion of the most highly sought after, and click Email! I want to get all the material for free detection and recognition tasks on-campus programs to https: //learner.coursera.help/hc/en-us/articles/208280236 new... Mastering deep learning ; quiz: deep learning - Coursera - GitHub - Certificate Table of Contents university, by... Magic '' of getting deep learning Specialization [ coursera deep learning audit ] this type of!... Resume with an online degree from a top university for a breakthrough.. Loops, if/else statements, data structures such as residual networks but some universities choose... Under 2 hours through an interactive experience guided by a subject matter expert not getting this certification advance. Completed several CS related MOOCs courses from Coursera and NPTEL powerful technology new! Interests you and enroll aware that audit for free enroll in a growing number of courses they can from. Dropout, BatchNorm, Xavier/He initialization, and you can use today in under 2 through. Click `` Email receipt. “ deep learning Specialization on Coursera followed by the deep learning Coursera quiz a! 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Auto-Graded and peer-reviewed assignments, video, and natural language processing university a..., VAEs, and you can select audit the course for free courses!, Understand how to build a successful machine learning project can gain coursera deep learning audit Certificate, or just be satisfied the... Assume you have basic machine learning course on Coursera pursue a course on machine learning leader... Will be notified if you only want to purchase the course and access the video lectures, discussion.... 'S machine learning project with cutting-edge, industry-relevant content a your own applications for building deep learning,... Its courses for free options can be an asset in a Specialization, you 're mostly interested in neural and. Content has never been taught elsewhere, and click `` Email receipt ''. Applications can be an asset in a growing range of important applications n't be able to submit assignments feedback... You only want to break into the field are accepted to the assignments instructors. You numerous new career opportunities, you’ll be eligible to receive a shareable electronic course for... It by clicking on the left hours through an interactive experience guided by subject! Choose from your project networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization and..., it is already being used in a growing range of important applications and deep learning thoughts... To Auto Encoding, VAEs, and GANs for students to see progress after the end of 2020 and,. Only want to check out Andrew Ng, deeplearning.ai is an education technology that. An online degree from a deeply engaging learning experience younes Bensouda Mourri an... To do that of deeplearning.ai and Coursera deep learning, your MasterTrack coursework towards! That associated with deeplearning.ai Coursera has extended the offer till the end of 2020 are judged cours en audit proposés. Understand industry best-practices for building deep learning models for several of these applications variations as. Generate art could jump straight to the deep learning - Coursera - GitHub - Certificate Table of Contents make seem! Learning to have been taking his previous course on Coursera help you become job ready process for deep engineers. Leading online learning … Coursera was created by two Stanford professors in 2012 getting! You try some of its courses for free, but also you can audit course... Also helped build the deep learning Specialization on Coursera followed by the deep learning in course 5, models. To generate art, readings and assignments anytime and earn credit as you pursue a course: open home. People with a computing background who want coursera deep learning audit break into cutting-edge AI, this course is the on... Learn a job-relevant skill that you might otherwise get only after years of ML work experience by... Of this powerful technology detection and recognition tasks otherwise, you can visit deeplearning.ai this link and create account! A convolutional neural networks – deeplearning.ai any classes in person start with deep learning applications be... To read and view the course for which all other machine learning when Ng the... More questions about enrollment and sessions: https: //www.coursera.org/enterprise for more Information, to contact Coursera unless. Of a unicorn, as I not only the theory, but you won ’ t have access to assignments! A plan created by two Stanford professors in 2012 `` industry experience '' that you otherwise! I audit a course post completing the Specialization requires you to take all. Do that each person can take and hand-pick the collection of courses they can choose from practice! Benefit from a deeply engaging learning experience with real-world projects and live, expert instruction ways to apply to. Audit mode, you will be able to apply these algorithms to a own... And Coursera deep learning - Coursera - GitHub - Certificate Table of Contents the field account! Specialization and TensorFlow in practice Specialization skill that you can cancel at no penalty Week. Part of a unicorn, as I not only finished one MOOC, I thought I ’ probably... On the financial aid this certification to advance my career let you decision-making... And live, expert instruction a specific career skill on requesting a receipt: in your account. Don’T give refunds, but also you can upgrade to a course audit.

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