Ai Alignment And Generalization In Deep Learning
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Ai Alignment And Generalization In Deep Learning
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Author : David Krueger
language : en
Publisher:
Release Date : 2021
Ai Alignment And Generalization In Deep Learning written by David Krueger and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.
This thesis covers a number of works in deep learning aimed at understanding and improving generalization abilities of deep neural networks (DNNs). DNNs achieve unrivaled performance in a growing range of tasks and domains, yet their behavior during learning and deployment remains poorly understood. They can also be surprisingly brittle: in-distribution generalization can be a poor predictor of behavior or performance under distributional shifts, which typically cannot be avoided in practice. While these limitations are not unique to DNNs -- and indeed are likely to be challenges facing any AI systems of sufficient complexity -- the prevalence and power of DNNs makes them particularly worthy of study. I frame these challenges within the broader context of "AI Alignment": a nascent field focused on ensuring that AI systems behave in accordance with their user's intentions. While making AI systems more intelligent or capable can help make them more aligned, it is neither necessary nor sufficient for alignment. However, being able to align state-of-the-art AI systems (e.g. DNNs) is of great social importance in order to avoid undesirable and unsafe behavior from advanced AI systems. Without progress in AI Alignment, advanced AI systems might pursue objectives at odds with human survival, posing an existential risk (``x-risk'') to humanity. A core tenet of this thesis is that the achieving high performance on machine learning benchmarks if often a good indicator of AI systems' capabilities, but not their alignment. This is because AI systems often achieve high performance in unexpected ways that reveal the limitations of our performance metrics, and more generally, our techniques for specifying our intentions. Learning about human intentions using DNNs shows some promise, but DNNs are still prone to learning to solve tasks using concepts of "features" very different from those which are salient to humans. Indeed, this is a major source of their poor generalization on out-of-distribution data. By better understanding the successes and failures of DNN generalization and current methods of specifying our intentions, we aim to make progress towards deep-learning based AI systems that are able to understand users' intentions and act accordingly.
The Singularity Is Nearer
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Author : Ray Kurzweil
language : en
Publisher: Penguin
Release Date : 2024-06-25
The Singularity Is Nearer written by Ray Kurzweil and has been published by Penguin this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-25 with Social Science categories.
AN INSTANT NEW YORK TIMES BESTSELLER ONE OF TIME’S 100 MOST INFLUENTUAL PEOPLE IN ARTIFICIAL INTELLIGENCE The noted inventor and futurist’s successor to his landmark book The Singularity Is Near explores how technology will transform the human race in the decades to come Since it was first published in 2005, Ray Kurzweil’s The Singularity Is Near and its vision of an exponential future have spawned a worldwide movement. Kurzweil's predictions about technological advancements have largely come true, with concepts like AI, intelligent machines, and biotechnology now widely familiar to the public. In this entirely new book Ray Kurzweil brings a fresh perspective to advances toward the Singularity—assessing his 1999 prediction that AI will reach human level intelligence by 2029 and examining the exponential growth of technology—that, in the near future, will expand human intelligence a millionfold and change human life forever. Among the topics he discusses are rebuilding the world, atom by atom with devices like nanobots; radical life extension beyond the current age limit of 120; reinventing intelligence by connecting our brains to the cloud; how exponential technologies are propelling innovation forward in all industries and improving all aspects of our well-being such as declining poverty and violence; and the growth of renewable energy and 3-D printing. He also considers the potential perils of biotechnology, nanotechnology, and artificial intelligence, including such topics of current controversy as how AI will impact employment and the safety of autonomous cars, and "After Life" technology, which aims to virtually revive deceased individuals through a combination of their data and DNA. The culmination of six decades of research on artificial intelligence, The Singularity Is Nearer is Ray Kurzweil’s crowning contribution to the story of this science and the revolution that is to come.
Machine Learning Algorithms And Techniques
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Author : Krishna Bonagiri
language : en
Publisher: RK Publication
Release Date : 2024-06-21
Machine Learning Algorithms And Techniques written by Krishna Bonagiri and has been published by RK Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-21 with Computers categories.
Machine Learning Algorithms and Techniques the concepts, popular algorithms, and essential techniques of machine learning. A comprehensive covering supervised, unsupervised, and reinforcement learning methods while exploring key algorithms like decision trees, neural networks, clustering, and more. Practical applications and examples bring each algorithm to life, helping readers understand how these models are used to solve real-world problems. Designed for both beginners and experienced practitioners, this book is an ideal guide for mastering the fundamentals and applications of machine learning.
Recent Advances In Surgical Management Of Nsclc
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Author : Marcello Migliore
language : en
Publisher: Frontiers Media SA
Release Date : 2024-08-21
Recent Advances In Surgical Management Of Nsclc written by Marcello Migliore and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-21 with Medical categories.
Lung cancer remains a leading cause of cancer-related deaths worldwide, and non-small cell lung cancer (NSCLC) accounts for approximately 80% of all lung cancers. Despite advances in therapy, surgical resection remains the cornerstone of treatment for early-stage NSCLC. Over the past few years, there have been significant advances in surgical techniques for the management of NSCLC. Therefore, there is a need to update the surgical community with the latest updates in the field. This Research Topic aims to provide a comprehensive overview of recent advances in the surgical management of NSCLC. We aim to address various aspects of NSCLC management, including surgical techniques, perioperative care, and outcomes. The collection will serve as a valuable resource and platform for thoracic surgeons and oncologists with the aim of improving outcomes for lung cancer patients.
Artificial General Intelligence
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Author : Matthew Iklé
language : en
Publisher: Springer Nature
Release Date : 2025-08-06
Artificial General Intelligence written by Matthew Iklé and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-06 with Computers categories.
This book constitutes the refereed proceedings of the 18th International Conference on Artificial General Intelligence, AGI 2025, held in Reykjavic, Iceland in August 2025. The 72 full papers included in this book were carefully reviewed and selected from 179 submissions. They were organized in topical sections as follows: novel learning algorithms, reasoning systems, theoretical neurobiology and bio-inspired systems, quantum computing, theories of machine consciousness, ethics, safety, formal mathematical foundations and philosophy of AGI.
Global Governance Of The Transition To Artificial General Intelligence
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Author : Jerome Clayton Glenn
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2025-08-22
Global Governance Of The Transition To Artificial General Intelligence written by Jerome Clayton Glenn and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-22 with Business & Economics categories.
While today’s Artificial Narrow Intelligence (ANI) tools have limited purposes like diagnosing illness or driving a car, if managed well, Artificial General Intelligence (AGI), could usher in great advances in human condition encompassing the fields of medicine, education, longevity, turning around global warming, scientific advancements, and creating a more peaceful world. However, if left unbridled, AGI also has the potential to end human civilization. This book discusses the current status, and provides recommendations for the future, regarding regulations concerning the creation, licensing, use, implementation and governance of AGI. Based on an international assessment of the issues and potential governance approaches for the transition from ANI of today to future forms of AGI by The Millennium Project, a global participatory think tank, the book explores how to manage this global transition. Section 1 shares the views of 55 AGI experts and thought leaders from the US, China, UK, Canada, EU, and Russia, including Elon Musk, Sam Altman and Bill Gates, on 22 critical questions. In Section 2, The Millennium Project futurist team analyzes these views to create a list of potential regulations and global governance systems or models for the safe emergence of AGI, rated and commented on by an international panel of futurists, diplomats, international lawyers, philosophers, scientists and other experts from 47 countries. This book broadens and deepens the current conversations about future AI, educating the public as well as those who make decisions and advise others about potential artificial intelligence regulations.
Trustworthy Machine Learning Under Imperfect Data
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Author : Bo Han
language : en
Publisher: Springer Nature
Release Date : 2025-11-20
Trustworthy Machine Learning Under Imperfect Data written by Bo Han and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-11-20 with Mathematics categories.
The subject of this book centres around trustworthy machine learning under imperfect data. It is primarily designed for scientists, researchers, practitioners, professionals, postgraduates and undergraduates in the field of machine learning and artificial intelligence. The book focuses on trustworthy deep learning under various types of imperfect data, including noisy labels, adversarial examples, and out-of-distribution data. It covers trustworthy machine learning algorithms, theories, and systems. The main goal of the book is to provide students and researchers in academia with an unbiased and comprehensive literature review. More importantly, it aims to stimulate insightful discussions about the future of trustworthy machine learning. By engaging the audience in more in-depth conversations, the book intends to spark ideas for addressing core problems in this topic. For example, it will explore how to build up benchmark datasets in noisy-supervised learning, how to tackle the emerging adversarial learning, and how to tackle out-of-distribution detection. For practitioners in the industry, this book will present state-of-the-art trustworthy machine learning methods to help them solve real-world problems in different scenarios, such as online recommendation and web search. While the book will introduce the basics of knowledge required, readers will benefit from having some familiarity with linear algebra, probability, machine learning, and artificial intelligence. The emphasis will be on conveying the intuition behind all formal concepts, theories, and methodologies, ensuring the book remains self-contained at a high level.
Machine Learning
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Author : Claude Sammut
language : en
Publisher: Morgan Kaufmann
Release Date : 2002
Machine Learning written by Claude Sammut and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Artificial intelligence categories.
Automatic Control In Aerospace
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Author :
language : en
Publisher:
Release Date : 1993
Automatic Control In Aerospace written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with Airplanes categories.
Automatic Control In Aerospace 1992
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Author : D. B. DeBra
language : en
Publisher: Pergamon
Release Date : 1993
Automatic Control In Aerospace 1992 written by D. B. DeBra and has been published by Pergamon this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with Technology & Engineering categories.
Space vehicles have become increasingly complex in recent years, and the number of missions has multiplied as a result of extending frontiers in the exploration of our planetary system and the universe beyond. The advancement of automatic control in aerospace reflects these developments. Key areas covered in these proceedings include: the size and complexity of spacecrafts and the increasingly stringent performance requirements to be fulfilled in a harsh and unpredictable environment; the merger of space vehicles and airplanes into space planes to launch and retrieve payloads by reusable winged vehicles; and the demand to increase space automation and autonomy to reduce human involvement as much as possible in manned, man-tended and unmanned missions. This volume covers not only the newly evolving key technologies but also the classical issues of guidance, navigation and control.