Modelland - the FIERCE NEW NOVEL BY TYRA BANKS—IS OUT! No one gets in without being asked. And with her untamable hair, large forehead, and gawky body, Tookie De La Crème isn’t expecting an invitation. Modelland—the exclusive, mysterious place on top of the mountain—never dares to make an appearance in her dreams. But someone has plans for Tookie. Before she can blink her mismatched eyes, Tookie finds herself in the very place every girl in the world obsesses about. And three unlikely girls have joined her. Only seven extraordinary young women become Intoxibellas each year. Famous. Worshipped. Magical. What happens to those who don’t make it? Well, no one really speaks of that. Some things are better left unsaid. Thrown into a world where she doesn’t seem to belong, Tookie glimpses a future that could be hers—if she survives the beastly Catwalk Corridor and terrifying Thigh-High Boot Camp. Along the way, she learns all about friendship, courage, laughter and what it feels like to start to believe in yourself. When you enter the fantastical world of Modelland, you'll see that Tookie was inspired by Tyra’s life as a supermodel. All those crazy and wild adventures Tookie has with her friends? Some of them were ripped straight from the headlines of Tyra’s life! Tyra knows all about beauty and fashion and fierceness, and she shares everything here in MODELLAND. It’s fun, zany, and 100 bazillion-percent Tyra. You don’t want to miss Tyra’s amazing new novel! From the Hardcover edition.

An illuminating photographic tour of Henry Ford’s famous Rouge plant—an industrial site that signifies an era’s triumph in integrated manufacturing and economic progress.

This open access book provides a comprehensive overview of the state of the art in research and applications of Foundation Models and is intended for readers familiar with basic Natural Language Processing (NLP) concepts. Over the recent years, a revolutionary new paradigm has been developed for training models for NLP. These models are first pre-trained on large collections of text documents to acquire general syntactic knowledge and semantic information. Then, they are fine-tuned for specific tasks, which they can often solve with superhuman accuracy. When the models are large enough, they can be instructed by prompts to solve new tasks without any fine-tuning. Moreover, they can be applied to a wide range of different media and problem domains, ranging from image and video processing to robot control learning. Because they provide a blueprint for solving many tasks in artificial intelligence, they have been called Foundation Models. After a brief introduction to basic NLP models the main pre-trained language models BERT, GPT and sequence-to-sequence transformer are described, as well as the concepts of self-attention and context-sensitive embedding. Then, different approaches to improving these models are discussed, such as expanding the pre-training criteria, increasing the length of input texts, or including extra knowledge. An overview of the best-performing models for about twenty application areas is then presented, e.g., question answering, translation, story generation, dialog systems, generating images from text, etc. For each application area, the strengths and weaknesses of current models are discussed, and an outlook on further developments is given. In addition, links are provided to freely available program code. A concluding chapter summarizes the economic opportunities, mitigation of risks, and potential developments of AI.

This book presents the basics and recent advancements in natural language processing and information retrieval in a single volume. It will serve as an ideal reference text for graduate students and academic researchers in interdisciplinary areas of electrical engineering, electronics engineering, computer engineering, and information technology. This text emphasizes the existing problem domains and possible new directions in natural language processing and information retrieval. It discusses the importance of information retrieval with the integration of machine learning, deep learning, and word embedding. This approach supports the quick evaluation of real-time data. It covers important topics including rumor detection techniques, sentiment analysis using graph-based techniques, social media data analysis, and language-independent text mining. Features: • Covers aspects of information retrieval in different areas including healthcare, data analysis, and machine translation • Discusses recent advancements in language- and domain-independent information extraction from textual and/or multimodal data • Explains models including decision making, random walk, knowledge graphs, word embedding, n-grams, and frequent pattern mining • Provides integrated approaches of machine learning, deep learning, and word embedding for natural language processing • Covers latest datasets for natural language processing and information retrieval for social media like Twitter The text is primarily written for graduate students and academic researchers in interdisciplinary areas of electrical engineering, electronics engineering, computer engineering, and information technology.

Once again, our nation has a powerful need for a revolution devoted to creating scientists. As we face the challenges of climate change, global competitiveness, biodiversity loss, energy needs, and dwindling food supplies, we ?nd ourselves in a period where both scienti?c literacy and the pool of next-generation scientists are dwindling. To solve these complex issues and maintain our own national security, we have to rebuild a national ethos based on sound science education for all, from which a new generation of scientists will emerge. The challenge is how to create this transformation. Those shaping national policy today, in 2009, need look no further than what worked a half-century ago. In1957,SputnikcircledandsentaclarioncallforAmericatobecometheworld’s most technologically advanced nation. In 1958, Congress passed the National Defense Education Act, which focused the national will and called for scholars and teachers to successfully educate our youth in science, math, and engineering. It was during this time period that Paul F. Brandwein emerged as a national science e- cation leader to lay the foundation for the changes needed in American education to create the future scientists essential to the nation’s well-being.

The automobile has shaped nearly every aspect of modern American life. This text documents the story of the automotive industry, which, despite its power, is constantly struggling to assure its success.