The document summarizes the AI and ML development services offered by BrainCave Software. It outlines their expertise in areas such as AI/ML consulting, custom development, natural language processing, computer vision, and predictive analytics. It then describes their systematic approach involving in-depth analysis, design, development, testing, and deployment of custom AI/ML solutions. Finally, it provides details on the technologies used like TensorFlow, PyTorch, Python and cloud platforms, as well as positive testimonials from past clients.
The document summarizes the AI and ML development services offered by BrainCave Software. It outlines their expertise in various technologies such as TensorFlow, Scikit-learn, cloud platforms, computer vision libraries, Python, PyTorch, and NLP libraries. BrainCave conducts in-depth analysis to design custom solutions that meet clients' business requirements. They ensure quality, timely delivery, and scalability. Testimonials praise BrainCave's dedicated experts and their assistance in developing effective AI solutions.
ARTIFICIAL INTELLIGENT ( ITS / TASK 6 ) done by Wael Saad Hameedi / P71062Wael Alawsey
This document provides an overview of artificial intelligence and several AI techniques. It discusses neural networks, genetic algorithms, expert systems, fuzzy logic, and the suitability of AI for solving transportation problems. Neural networks can be used to perform tasks like optical character recognition by analyzing images. Genetic algorithms use principles of natural selection to arrive at optimal solutions. Expert systems mimic human experts to provide advice. Fuzzy logic allows for gradual membership in sets rather than binary membership. Complexity and uncertainty make transportation well-suited for AI approaches.
An AI Bot will Build and Run your next site… eventuallyRonald Ashri
We look at how AI will change web development and how that change is going to come quicker than we think and then talk about some options of what will happen next.
This document discusses artificial intelligence (AI) and its applications in business. It describes AI as the intelligence of machines and the branch of computer science that aims to create machine intelligence through techniques like neural networks, expert systems, and natural language processing. The document outlines how AI is used in various business functions like finance, marketing, human resources, manufacturing, and more to tackle complex problems, analyze data, optimize processes, and increase productivity. It also provides examples of specific AI applications in credit screening, forecasting, customer relationship management, and manufacturing scheduling.
Top 10 Skills You Need For A High-Paying Machine Learning CareerRobert Smith
There are vast applications of Machine Learning in computer science including different types of learning such as supervised learning, unsupervised learning, and reinforcement learning. Machine Learning can be a rewarding career for students who are good in mathematics and statistics and have sharp programming skills.
AI cloud is a promising domain that has gained prominence for uses like data storage, processing, and software development. AI helps develop self-learning systems using machine learning algorithms trained on large datasets without requiring human programming. These AI clouds have been used in domains like self-driving cars, medical diagnosis, and speech recognition. Machine learning as a service (MLaaS) offers machine learning tools and APIs through cloud computing services, with computation handled by the provider's data centers. Popular MLaaS platforms offer services for natural language processing, computer vision, predictive analytics, and more.
AI Training in Lucknow, If you're looking for one of the best Artificial Intelligence Training programs in Lucknow, then you'll want to check out Innovitt Global. They offer a comprehensive AI training program that covers everything from the basics of AI to more advanced concepts. The program is designed to help students and working professionals alike to better understand and utilize AI in their field. With over 20 years of experience in the industry, Innovitt Global is one of the leading providers of AI training programs. Their programs are highly respected and well-recognized by both students and professionals alike. When it comes to choosing an AI training provider, you can't go wrong with Innovitt Global. Visit our website to apply for a best AI Training in Lucknow- https://trainingatinnovittglobal.com/ai-training-in-lucknow/
The document summarizes the AI and ML development services offered by BrainCave Software. It outlines their expertise in areas such as AI/ML consulting, custom development, natural language processing, computer vision, and predictive analytics. It then describes their systematic approach involving in-depth analysis, design, development, testing, and deployment of custom AI/ML solutions. Finally, it provides details on the technologies used like TensorFlow, PyTorch, Python and cloud platforms, as well as positive testimonials from past clients.
The document summarizes the AI and ML development services offered by BrainCave Software. It outlines their expertise in various technologies such as TensorFlow, Scikit-learn, cloud platforms, computer vision libraries, Python, PyTorch, and NLP libraries. BrainCave conducts in-depth analysis to design custom solutions that meet clients' business requirements. They ensure quality, timely delivery, and scalability. Testimonials praise BrainCave's dedicated experts and their assistance in developing effective AI solutions.
ARTIFICIAL INTELLIGENT ( ITS / TASK 6 ) done by Wael Saad Hameedi / P71062Wael Alawsey
This document provides an overview of artificial intelligence and several AI techniques. It discusses neural networks, genetic algorithms, expert systems, fuzzy logic, and the suitability of AI for solving transportation problems. Neural networks can be used to perform tasks like optical character recognition by analyzing images. Genetic algorithms use principles of natural selection to arrive at optimal solutions. Expert systems mimic human experts to provide advice. Fuzzy logic allows for gradual membership in sets rather than binary membership. Complexity and uncertainty make transportation well-suited for AI approaches.
An AI Bot will Build and Run your next site… eventuallyRonald Ashri
We look at how AI will change web development and how that change is going to come quicker than we think and then talk about some options of what will happen next.
This document discusses artificial intelligence (AI) and its applications in business. It describes AI as the intelligence of machines and the branch of computer science that aims to create machine intelligence through techniques like neural networks, expert systems, and natural language processing. The document outlines how AI is used in various business functions like finance, marketing, human resources, manufacturing, and more to tackle complex problems, analyze data, optimize processes, and increase productivity. It also provides examples of specific AI applications in credit screening, forecasting, customer relationship management, and manufacturing scheduling.
Top 10 Skills You Need For A High-Paying Machine Learning CareerRobert Smith
There are vast applications of Machine Learning in computer science including different types of learning such as supervised learning, unsupervised learning, and reinforcement learning. Machine Learning can be a rewarding career for students who are good in mathematics and statistics and have sharp programming skills.
AI cloud is a promising domain that has gained prominence for uses like data storage, processing, and software development. AI helps develop self-learning systems using machine learning algorithms trained on large datasets without requiring human programming. These AI clouds have been used in domains like self-driving cars, medical diagnosis, and speech recognition. Machine learning as a service (MLaaS) offers machine learning tools and APIs through cloud computing services, with computation handled by the provider's data centers. Popular MLaaS platforms offer services for natural language processing, computer vision, predictive analytics, and more.
AI Training in Lucknow, If you're looking for one of the best Artificial Intelligence Training programs in Lucknow, then you'll want to check out Innovitt Global. They offer a comprehensive AI training program that covers everything from the basics of AI to more advanced concepts. The program is designed to help students and working professionals alike to better understand and utilize AI in their field. With over 20 years of experience in the industry, Innovitt Global is one of the leading providers of AI training programs. Their programs are highly respected and well-recognized by both students and professionals alike. When it comes to choosing an AI training provider, you can't go wrong with Innovitt Global. Visit our website to apply for a best AI Training in Lucknow- https://trainingatinnovittglobal.com/ai-training-in-lucknow/
AI for Customer Service: How to Improve Contact Center Efficiency with Machin...Skyl.ai
About the webinar
It only takes one bad interaction for a customer to abandon a service or product. Businesses are no longer just competing with other companies’ products, they’re competing with a customer’s last service experience. All contact centers worldwide are looking for new and strategic ways to increase operational performance, reduce cost, and still provide high-touch customer experiences that improve customer loyalty and highlight ways to increase revenue and productivity.
Through this webinar, we will understand how AI can augment the effort, focus and problem-solving abilities of human agents so that they can tackle more complex or creative tasks. With an abundance of data from logs, emails, chat, and voice recordings, contact centers can ingest this data to provide contextual customer service at the right time with the right way providing satisfactory customer service and retain the brand value.
What you will learn
- How organizations are building engaging interactions that deliver value to customers
- Best practices to automate AI/ML models
- Demo: How to route customer queries to the right department or professional
For the full video of this presentation, please visit:
https://www.embedded-vision.com/platinum-members/embedded-vision-alliance/embedded-vision-training/videos/pages/feb-2017-member-meeting-rowen
For more information about embedded vision, please visit:
http://www.embedded-vision.com
Chris Rowen of Cognite Ventures delivers the presentation "The Vision AI Start-ups That Matter Most" at the February 2017 Embedded Vision Alliance Member Meeting. Rowen shares his unique perspective on the vision AI start-ups that matter most.
With advancing technology, we are into the age where raw data is so much and the Desire for a system that does computing intelligently, Artificial Intelligence has a very bright future in all the major sectors like Financial Services, Government, Health Care, Military, Transportation and Oil & Gas. On the other hand, Machine Learning is a part of AI, it’s a necessity is a vital factor as advanced systems constantly need an algorithm that self evolves based on patterns and gives output wisely. We relentlessly research and work on solutions that make life easier. Visit: https://www.weboccult.com/services/artificial-intelligence/
This document provides an introduction to artificial intelligence (AI) and machine learning. It outlines two main approaches in AI programming: rules-based and machine learning. Rules-based AI uses rules defined by human experts, while machine learning learns from data without being explicitly programmed. Several examples are given of when each approach would be used, such as rules-based for alphabetizing songs but machine learning for predicting housing prices. The machine learning process is described along with examples of techniques like classification, clustering, and regression. Deep learning and frameworks like TensorFlow are introduced for building large neural networks. Real-world applications across various domains are highlighted.
This document provides an introduction to artificial intelligence (AI) and machine learning. It outlines two main approaches in AI programming: rules-based and machine learning. Rules-based AI uses rules defined by human experts, while machine learning learns from data without being explicitly programmed. Several examples are given of when each approach would be used, such as rules-based for alphabetizing songs but machine learning for predicting housing prices. The machine learning process and some common techniques like classification, clustering, and regression are then explained. Deep learning and frameworks like TensorFlow are introduced for building large neural networks. Real-world applications across various domains are discussed.
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Convolutional neural networks are a type of artificial neural network useful for image recognition. Multiple layers stack up to make ConvNets. Each layer contains a number of neurons. The first layer is the input layer and the last layer is the output layer. Originally published at https://writeme.ai/blog/how-convolutional-neural-networks-work/#final-output-of-convolutional-neural-networks
AI & Cognitive Computing are some of the most popular business an technical words out there. It is critical to get the basic understanding of Cognitive Computing, which helps us appreciate the technical possibilities and business benefits of the technology.
The document discusses various career paths in technology. It begins by emphasizing how technology has disrupted everyday life and work. It then lists several career options in technology, including: lawyers working with tech companies, sales experts selling tech products, journalists/bloggers reporting on tech, digital marketers using platforms like Facebook and Google Ads, technical writers, IT help desk technicians, animators, graphic designers, UI/UX designers, product managers, tech recruiters, database administrators, data analysts, data scientists, cyber security specialists, mobile application developers, cloud engineers, robotics engineers, web analytics specialists, search engine optimization specialists, web developers, network administrators, video game designers, project managers, network architects, artificial intelligence/machine learning
Novi Sad AI is the first AI community in Serbia with goal of democratizing knowledge of AI. On our first event we talked about Belief networks, Deep learning and many more.
Insights Success has curated a list of “The 10 Most Innovative Cognitive Solution Providers, 2018,” who are excelling their provision of best-in-class cognitive solutions that incessantly advocate ingenuity in technological innovation and global services.
This short presentation provides context for the field of AI today and makes some predictions about the advancements of the field in the enterprise in the next 5-10 years
Top 10 tredning technologies to learn in 2021Lokesh Agarwal
In this world of digitalization, technologies are expanding rapidly. As the world foremost tech news contributor, it is the duty of us to keep everyone updated with the newest trends of the top 10 trending technologies in 2021. Technology and programming language are so important in day to day lifestyle to make the livelihood more facile. These computer scientists and professionals are regularly making the bests out of anything. Technology has taken a face of more productiveness and give the best to the nation. In the present scenario, everything is done through the technical process, you don’t have to bother about doing work, everything will be done automatically. In this article, some important technologies which are new in the market are explained according to the career preferences. So let’s have a look into the top 10 trending technologies in2021 and its impression in the coming future.
This second machine age has seen the rise of artificial intelligence (AI), or “intelligence” that is not the result of
human cogitation. It is now ubiquitous in many commercial products, from search engines to virtual assistants. aI is the result of exponential growth in computing power, memory capacity, cloud computing, distributed and parallel processing, open-source solutions, and global connectivity of both people
and machines. The massive amounts and the speed at which structured and unstructured (e.g., text, audio, video, sensor) data is being generated has made a necessity of speedily processing and generating meaningful, actionable insights from it.
Computer vision analyzes visual data like images and videos to understand and interpret them similarly to humans. It works by training models on large datasets to recognize patterns and classify objects. Applications include face recognition for login, medical imaging analysis, and computer vision in autonomous vehicles. The future of computer vision may involve combining it with natural language processing for image captioning and visual assistance applications.
This document introduces IBM's Watson and cognitive computing capabilities. It discusses how Watson uses technologies like natural language processing, machine learning, and deep learning to understand language, learn from interactions, and provide answers to questions. The document outlines IBM's vision of a "cognitive era" where systems can automate complex tasks by understanding, learning, and reasoning like humans. It promotes Watson and IBM's cognitive APIs and services as tools to help organizations gain insights from data and transform their business operations and customer experiences for the cognitive era.
This document discusses applications of artificial intelligence and provides examples of widely used AI technologies. It describes machine learning techniques including supervised, unsupervised, and reinforcement learning. It also discusses natural language processing, speech recognition, virtual agents, predictive technology, and deep learning. Examples are provided for how various companies utilize predictive analytics. In conclusion, the document notes that while AI allows for increased productivity, its integration requires addressing legal, ethical, and social implications.
AI Microservices APIs and Business Automation as a Service Denis GagneDenis Gagné
My presentation at the BBC2019 conference.
While the current AI fascination is fueled by Machine Learning, the architecture and application landscape is being redesigned around Microservices and APIs. These technologies are combining forces to affect many facets of business, creating a paradigm shift all around you. Do you know how to take advantage of the tsunami created by these technologies?
In this session, we will explain these technologies and how to extract business value from them. We will demonstrate how line of business people can integrate machine learning into business decisions that are explainable, auditable, and traceable and how they can easily assemble business automations that orchestrate a series of microservices via modern API platforms. With this knowledge in hand, you will be ready to face the next wave of technologies that are hitting your organization.
Notes from Coursera Deep Learning courses by Andrew NgdataHacker. rs
Deep learning uses neural networks to process data and create patterns in a way that imitates the human brain. It has transformed industries like web search and advertising by enabling tasks like image recognition. This document discusses neural networks, deep learning, and their various applications. It also explains how recent advances in algorithms and increased data availability have driven the rise of deep learning by allowing neural networks to train on larger datasets and overcome performance plateaus.
AI encompasses a wide range of subfields, including machine learning, natural language processing, computer vision, robotics, and more. It aims to create systems that can perform tasks that typically require human intelligence, such as speech recognition, image recognition, decision-making, and problem-solving.
In this blog post, we will explore the key skills required to master the art of Artificial Intelligence.
https://artificialintelligence-institute.blogspot.com/2023/06/skills-in-artificial-intelligence.html
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Through this webinar, we will understand how AI can augment the effort, focus and problem-solving abilities of human agents so that they can tackle more complex or creative tasks. With an abundance of data from logs, emails, chat, and voice recordings, contact centers can ingest this data to provide contextual customer service at the right time with the right way providing satisfactory customer service and retain the brand value.
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For the full video of this presentation, please visit:
https://www.embedded-vision.com/platinum-members/embedded-vision-alliance/embedded-vision-training/videos/pages/feb-2017-member-meeting-rowen
For more information about embedded vision, please visit:
http://www.embedded-vision.com
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With advancing technology, we are into the age where raw data is so much and the Desire for a system that does computing intelligently, Artificial Intelligence has a very bright future in all the major sectors like Financial Services, Government, Health Care, Military, Transportation and Oil & Gas. On the other hand, Machine Learning is a part of AI, it’s a necessity is a vital factor as advanced systems constantly need an algorithm that self evolves based on patterns and gives output wisely. We relentlessly research and work on solutions that make life easier. Visit: https://www.weboccult.com/services/artificial-intelligence/
This document provides an introduction to artificial intelligence (AI) and machine learning. It outlines two main approaches in AI programming: rules-based and machine learning. Rules-based AI uses rules defined by human experts, while machine learning learns from data without being explicitly programmed. Several examples are given of when each approach would be used, such as rules-based for alphabetizing songs but machine learning for predicting housing prices. The machine learning process is described along with examples of techniques like classification, clustering, and regression. Deep learning and frameworks like TensorFlow are introduced for building large neural networks. Real-world applications across various domains are highlighted.
This document provides an introduction to artificial intelligence (AI) and machine learning. It outlines two main approaches in AI programming: rules-based and machine learning. Rules-based AI uses rules defined by human experts, while machine learning learns from data without being explicitly programmed. Several examples are given of when each approach would be used, such as rules-based for alphabetizing songs but machine learning for predicting housing prices. The machine learning process and some common techniques like classification, clustering, and regression are then explained. Deep learning and frameworks like TensorFlow are introduced for building large neural networks. Real-world applications across various domains are discussed.
HOW CONVOLUTIONAL NEURAL NETWORKS WORK_.pptxWriteMe
Convolutional neural networks are a type of artificial neural network useful for image recognition. Multiple layers stack up to make ConvNets. Each layer contains a number of neurons. The first layer is the input layer and the last layer is the output layer. Originally published at https://writeme.ai/blog/how-convolutional-neural-networks-work/#final-output-of-convolutional-neural-networks
AI & Cognitive Computing are some of the most popular business an technical words out there. It is critical to get the basic understanding of Cognitive Computing, which helps us appreciate the technical possibilities and business benefits of the technology.
The document discusses various career paths in technology. It begins by emphasizing how technology has disrupted everyday life and work. It then lists several career options in technology, including: lawyers working with tech companies, sales experts selling tech products, journalists/bloggers reporting on tech, digital marketers using platforms like Facebook and Google Ads, technical writers, IT help desk technicians, animators, graphic designers, UI/UX designers, product managers, tech recruiters, database administrators, data analysts, data scientists, cyber security specialists, mobile application developers, cloud engineers, robotics engineers, web analytics specialists, search engine optimization specialists, web developers, network administrators, video game designers, project managers, network architects, artificial intelligence/machine learning
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This second machine age has seen the rise of artificial intelligence (AI), or “intelligence” that is not the result of
human cogitation. It is now ubiquitous in many commercial products, from search engines to virtual assistants. aI is the result of exponential growth in computing power, memory capacity, cloud computing, distributed and parallel processing, open-source solutions, and global connectivity of both people
and machines. The massive amounts and the speed at which structured and unstructured (e.g., text, audio, video, sensor) data is being generated has made a necessity of speedily processing and generating meaningful, actionable insights from it.
Computer vision analyzes visual data like images and videos to understand and interpret them similarly to humans. It works by training models on large datasets to recognize patterns and classify objects. Applications include face recognition for login, medical imaging analysis, and computer vision in autonomous vehicles. The future of computer vision may involve combining it with natural language processing for image captioning and visual assistance applications.
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My presentation at the BBC2019 conference.
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Notes from Coursera Deep Learning courses by Andrew NgdataHacker. rs
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AI encompasses a wide range of subfields, including machine learning, natural language processing, computer vision, robotics, and more. It aims to create systems that can perform tasks that typically require human intelligence, such as speech recognition, image recognition, decision-making, and problem-solving.
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https://artificialintelligence-institute.blogspot.com/2023/06/skills-in-artificial-intelligence.html
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Unlock your kitchen's true potential with expert remodeling services from O'Brien Group Inc. Transform your space into a functional, modern, and luxurious haven with their experienced professionals. From layout reconfiguration to high-end upgrades, they deliver stunning results tailored to your style and needs. Visit obriengroupinc.com to elevate your kitchen's beauty and functionality today.
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2. Is there anything artificial intelligence can’t do? All the global social and professional
interactions are being dominated by visuals and imagery. With technology growing
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Email - sales@ksolves.com Call Us - +91 987 197 7038 www.ksolves.com
3. Applications of AI-powered image captioning
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techniques from NLP (Natural Language Processing) to extract textual information
from images given.
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4. Recommendations in editing applications
The AI-powered image captioning model automates the captioning process for
several functions like digital content production, editing, delivery, and so on. The
models that are well-trained replace manual efforts that generally go in to generate
quality captions for images as well as videos.
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5. Assisting visually impaired
This image captioning tool has come as a blessing for all those who are visually
impaired and unable to comprehend visuals. With an AI-powered image caption
generator, one can read out all the image descriptions to the people who are visually
impaired. This enables them to get a better understanding of their surroundings.
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6. Media and publishing houses
One of the industries heavily using AI is the media and publishing houses. They
circulate huge amounts of visual information in the form of newsletters, emails, etc.
This model speeds up subtitle creation and helps executives to focus on other
important tasks.
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7. Social media posts
Social media is using artificial intelligence for underlying mechanisms for identifying
terabytes of media files. Community administrators can now monitor interactions so
that they can formulate better business strategies.
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8. Components of an AI-powered image captioning model
An AI-image caption generator contains deep learning neural networks-
Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), and Long
Short Term Memory (LSTM).
● CNN’s- They are deployed for extracting spatial information from the given
images.
● RNNs- They are used for generating sequential data of words.
● LSTM- It remembers all the lengthy sequences of words.
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9. Phases of AI-powered image caption generator
There are three phases of an AI-infused image caption generator-
Feature extraction
The initial process is done by CNN’s which extract distinct features from any images
based on their structural context. CNN’s also create feature vectors known as
embedding, which is used as an input for RNN algorithms.
Images are fed to the CNN as a form of inputs in different formats like png, jpg, and
so on. The neural networks compress large amounts of features that are extracted
from the original images and a feature vector that is RNN compatible. CNN is also
called an encoder.
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10. Tokenization
The RNN is generally used to decode the process vector inputs that are generated
by the CNN modules. RNN models must be trained to initiate the task for captions.
You need to train your RNN model for predicting the next word.
However, without definite numerical alpha values, training the models becomes
ineffective.
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11. Text predictions.
The last phase of the model is text predictions. Here an embedded layer is used for
transforming each word into the required vector and then pushed for decoding. The
RNN model along with LTSM should remember the spatial information and predict
what is the next word.
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12. Ksolves Artificial Intelligence services
We, at Ksolves, offer artificial intelligence and customer services on a global scale.
Our team of skilled professionals works with the latest technologies to provide
enterprise-grade artificial intelligence integrations services. Along with artificial
intelligence, we are capable of deploying machine learning models like dpi machine
learning and aws machine learning. If you are looking for more artificial intelligence
and machine learning solutions, give us a call or write to us in the comments below.
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