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The Sentient Robot
Artificial intelligence is on the point of taking humankind into a new age. The turning point will come when AI has advanced so far that it matches human intelligence in every way. Human intelligence, whilst slower in some respects, is still more flexible than AI. But, once AI has caught up, it will take no time at all before going on to surpass humans by a huge distance. That scary prospect is termed artificial superintelligence (ASI). Rupert Robson argues that we are now just two conceptual hurdles away from developing ASI. The first of the two hurdles is to embed consciousness in AI, thereby giving us the sentient robot. This will enable ASI to see the world through our eyes. The second of the two hurdles is about the developmental step needed in AI design so as to achieve human-level flexibility in thought. A new world is about to open up before us. We need to understand it and prepare for it.
Transformers for Natural Language Processing
OpenAI's GPT-3, ChatGPT, GPT-4 and Hugging Face transformers for language tasks in one book. Get a taste of the future of transformers, including computer vision tasks and code writing and assistance. Purchase of the print or Kindle book includes a free eBook in PDF format Key Features Improve your productivity with OpenAI’s ChatGPT and GPT-4 from prompt engineering to creating and analyzing machine learning models Pretrain a BERT-based model from scratch using Hugging Face Fine-tune powerful transformer models, including OpenAI's GPT-3, to learn the logic of your data Book DescriptionTransformers are...well...transforming the world of AI. There are many platforms and models out there, but...
Artificial Intelligence - Intelligent Art?
As algorithmic data processing increasingly pervades everyday life, it is also making its way into the worlds of art, literature and music. In doing so, it shifts notions of creativity and evokes non-anthropocentric perspectives on artistic practice. This volume brings together contributions from the fields of cultural studies, literary studies, musicology and sound studies as well as media studies, sociology of technology, and beyond, presenting a truly interdisciplinary, state-of-the-art picture of the transformation of creative practice brought about by various forms of AI.
CEO OF MY TIME FOR BEING A..I
Each one of us has a perception of reality that is shaped by a number of factors, such as our senses, our experiences, our beliefs, our emotions, and our perspectives. This book draws from personal experiences, culture, technology, genes, philosophy, and attempts to reveal a path that systematically unveils the tools to understanding ourselves better and as a result unlock the potential deep within us. If we believe that the world is a dangerous place, we may be more likely to interpret events in a negative way. Conversely, if we believe that the world is a friendly place, we may be more likely to interpret events in a positive way. By creating an awareness of how these perceptions of realit...
James Douglas
James Douglas's story is one of high adventure in pre-Confederation Canada. It weaves through the heart of Canadian and Pacific Northwest history when British Columbia was a wild land, Vancouver didn't exist, and Victoria was a muddy village. Part black and illegitimate, Douglas was born in British Guiana (now Guyana) in 1803 to a Scottish plantation owner and a mixed-race woman. After schooling in Scotland, the fifteen-year-old Douglas sailed to Canada in 1819 to join the fur trade. With roads non-existent, he travelled thousands of miles each year, using the rivers and lakes as his highways. He paddled canoes, drove dogsleds, and snowshoed to his destinations. Douglas became a hard-nosed fur trader, married a part-Cree wife, and nearly provoked a war between Britain and the United States over the San Juan Islands on the West Coast. When he was in his prime, he established Victoria and secrured the western region of British North America from the Russian Empire and the expansionist Americans. Eventually, Douglas became the controversial governor of the Colonies of Vancouver Island and British Columbia and oversaw the frenzied Fraser and Cariboo gold rushes.
Automated Machine Learning and Meta-Learning for Multimedia
This book disseminates and promotes the recent research progress and frontier development on AutoML and meta-learning as well as their applications on computer vision, natural language processing, multimedia and data mining related fields. These are exciting and fast-growing research directions in the general field of machine learning. The authors advocate novel, high-quality research findings, and innovative solutions to the challenging problems in AutoML and meta-learning. This topic is at the core of the scope of artificial intelligence, and is attractive to audience from both academia and industry. This book is highly accessible to the whole machine learning community, including: researchers, students and practitioners who are interested in AutoML, meta-learning, and their applications in multimedia, computer vision, natural language processing and data mining related tasks. The book is self-contained and designed for introductory and intermediate audiences. No special prerequisite knowledge is required to read this book.
Algebraic Structures in Natural Language
Algebraic Structures in Natural Language addresses a central problem in cognitive science concerning the learning procedures through which humans acquire and represent natural language. Until recently algebraic systems have dominated the study of natural language in formal and computational linguistics, AI, and the psychology of language, with linguistic knowledge seen as encoded in formal grammars, model theories, proof theories and other rule-driven devices. Recent work on deep learning has produced an increasingly powerful set of general learning mechanisms which do not apply rule-based algebraic models of representation. The success of deep learning in NLP has led some researchers to que...
IJCoL - Italian Journal of Computational Linguistics vol. 10, n. 1 june 2024
Adapting BLOOM to a new language: A case study for the Italian Pierpaolo Basile, Lucia Siciliani, Elio Musacchio, Marco Polignano, Giovanni Semeraro U-DepPLLaMA: Universal Dependency Parsing via Auto-regressive Large Language Models Claudiu Daniel Hromei, Danilo Croce, Roberto Basili Investigating Text Difficulty and Prerequisite Relation Identification Chiara Alzetta Italian Linguistic Features for Toxic Language Detection in Social Media Leonardo Grotti Publishing the Dictionary of Medieval Latin in the Czech Lands as Linked Data in the LiLa Knowledge Base Federica Gamba, Marco Carlo Passarotti, Paolo Ruffolo
Deep Learning at Scale
Bringing a deep-learning project into production at scale is quite challenging. To successfully scale your project, a foundational understanding of full stack deep learning, including the knowledge that lies at the intersection of hardware, software, data, and algorithms, is required. This book illustrates complex concepts of full stack deep learning and reinforces them through hands-on exercises to arm you with tools and techniques to scale your project. A scaling effort is only beneficial when it's effective and efficient. To that end, this guide explains the intricate concepts and techniques that will help you scale effectively and efficiently. You'll gain a thorough understanding of: How...
