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Microsoft has introduced the Graph (SPTAG) and Space Partition Tree algorithm visible to everyone as an open-source GitHub project, applied in its own Bing search engine. The algorithm allows the use of deep learning models and vector search to produce search-based results. It involves SPTAG understanding. The latest surge in advertisements and marketing promotions for Microsoft's new search engine viz., Bing, raises concerns about whether the formulas of the new engine allocate page rank to optimistic websites. It appears to be a skeptic approach if Bing will live up to expectations and become a genuine contender to Google. However, it is worth investigating how the search engines assess Bing in keeping with Google's popularity. Bing doesn't operate the same as Google, where the message of the anchor wouldn't be enough of a problem. Google counts the connection more than it counts the anchor text. Bing works in exactly the opposite way. It counts the text of the anchor more than just the link.
Bing AI is more than just a search engine - it's a powerful AI tool that can transform the way you search for information, learn new things, and even boost your productivity. This comprehensive guide explores the exciting capabilities of Bing AI, from understanding your search intent and providing personalized results to offering creative writing prompts and streamlining research processes. We delve into the ethical considerations of AI development and how Microsoft is committed to responsible AI practices with Bing AI. Discover how Bing AI can be your personalized search assistant, enhance your learning experience, and empower you to create compelling content. Get ready to explore the future of search and unlock the potential of Bing AI!
Scholars from communication and media studies join those from science and technology studies to examine media technologies as complex, sociomaterial phenomena. In recent years, scholarship around media technologies has finally shed the assumption that these technologies are separate from and powerfully determining of social life, looking at them instead as produced by and embedded in distinct social, cultural, and political practices. Communication and media scholars have increasingly taken theoretical perspectives originating in science and technology studies (STS), while some STS scholars interested in information technologies have linked their research to media studies inquiries into the symbolic dimensions of these tools. In this volume, scholars from both fields come together to advance this view of media technologies as complex sociomaterial phenomena. The contributors first address the relationship between materiality and mediation, considering such topics as the lived realities of network infrastructure. The contributors then highlight media technologies as always in motion, held together through the minute, unobserved work of many, including efforts to keep these technologies alive. Contributors Pablo J. Boczkowski, Geoffrey C. Bowker, Finn Brunton, Gabriella Coleman, Gregory J. Downey, Kirsten A. Foot, Tarleton Gillespie, Steven J. Jackson, Christopher M. Kelty, Leah A. Lievrouw, Sonia Livingstone, Ignacio Siles, Jonathan Sterne, Lucy Suchman, Fred Turner
Microsoft Azure Essentials from Microsoft Press is a series of free ebooks designed to help you advance your technical skills with Microsoft Azure. This third ebook in the series introduces Microsoft Azure Machine Learning, a service that a developer can use to build predictive analytics models (using training datasets from a variety of data sources) and then easily deploy those models for consumption as cloud web services. The ebook presents an overview of modern data science theory and principles, the associated workflow, and then covers some of the more common machine learning algorithms in use today. It builds a variety of predictive analytics models using real world data, evaluates several different machine learning algorithms and modeling strategies, and then deploys the finished models as machine learning web services on Azure within a matter of minutes. The ebook also expands on a working Azure Machine Learning predictive model example to explore the types of client and server applications you can create to consume Azure Machine Learning web services. Watch Microsoft Press’s blog and Twitter (@MicrosoftPress) to learn about other free ebooks in the Microsoft Azure Essentials series.
Efficient Query Processing for Scalable Web Search will be a valuable reference for researchers and developers working on This tutorial provides an accessible, yet comprehensive, overview of the state-of-the-art of Neural Information Retrieval.
Artificial Intelligence (AI), often referred to by the acronym Artificial Intelligence, is a fascinating and dynamically developing field that has far-reaching implications for various sectors of human activity. At its core, it is the simulation of human intelligence in computer systems. AI is capable of learning, planning, problem solving, speech recognition, visual perception and many other cognitive functions that were previously considered the exclusive domain of human thought.
Google makes improvements to the ranking algorithm nearly every single day. Several of them are minor tweaks; some shake up the SERPs severely. Google's algorithms construe as an enlightened method used for extracting data from its search database and providing the best possible results for a question instantly. Using a mixture of algorithms and various ranking signals, the search engine offers web pages ranked by importance on its SERPs (search engine results pages). Google has only made a couple of changes to its algorithms in its formative days. Today, every year, Google makes thousands of improvements. A majority of these changes are so small that they go unnoticed altogether. Nonetheless, the search engine periodically rolls out significant algorithmic updates which have a huge effect on SERPs such as: · Intrusive interstitials update · Fred · RankBrain · Mobilegeddon · Penguin · Panda · Pigeon · Hummingbird · Page layout algorithm · Payday · Exact match domain (EMD)
In a nutshell, it's sink or swim in the Internet world. If you are on page one of a Google, Bing, or Yahoo! search, your swimming in dough and have so much business you don't know what to do. On the other hand, if you are on page 3 or beyond you have no business. It's so true that no one hardly ever uses a telephone book anymore, they use the Internet. When you are competing against 800 million business websites on the Internet, you have to have an edge. There is an exact science in how to get your website to page one of an Internet search and it is different for each search engine. Not only that it changes every single year. For 2011, this book will teach you the science. Don't worry it covers the latest techniques for optimizing for Google Instant, Google Instant Preview, and Google Caffeine.
Get introduced to the world of artificial intelligence with this accessible and practical guide. Build applications that make intelligent use of language and user interaction to better compete in today’s marketplace. Discover how your application can deeply understand and interpret content on the web or a user’s machine, intelligently react to direct user interaction through speech or text, or make smart recommendations on products or services that are tailored to each individual user. With Microsoft Cognitive Services, you can do all this and more utilizing a set of easy-to-use APIs that can be consumed on the desktop, web, or mobile devices. Developers normally think of AI implementation as a tough task involving writing complex algorithms. This book aims to remove the anxiety by creating a cognitive application with a few lines of code. There is a wide range of Cognitive Services APIs available. This book focuses on some of the most useful and powerful ways that your application can make intelligent use of language. Artificial Intelligence for .NET: Speech, Language, and Search will show you how you can start building amazing capabilities into your applications today. What You'll Learn Understand the underpinnings of artificial intelligence through practical examples and scenarios Get started building an AI-based application in Visual Studio Build a text-based conversational interface for direct user interaction Use the Cognitive Services Speech API to recognize and interpret speech Look at different models of language, including natural language processing, and how to apply them in your Visual Studio application Reuse Bing search capabilities to better understand a user’s intention Work with recommendation engines and integrate them into your apps Who This Book Is For Developers working on a range of platforms, from .NET and Windows to mobile devices. Examples are given in C#. No prior experience with AI techniques or theory is required.