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“david lopez paz”

Showing 1 - 12 of 12 results for “david lopez paz”
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  • The Invariance Principle

    How statistical invariances will help us build AI systems exhibiting human-like performance by following human-like strategies.Current machine learning systems crumble when the distributions of training and testing examples differ in spurious correlations. This is a major roadblock toward the development of advanced machine intelligence, which demands not only human-like performance but the ... Read more

    $78.39 CAD

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  • How Deeply Human Is Language?

    Chomsky, the Brain, and the AI Fantasy

    A leading neurolinguist explains linguistic theory and large language models—the top contenders for understanding human language—and evaluates them in the context of the brain.Contemporary linguistics, founded and inspired by Noam Chomsky, seeks to understand the hallmark of our humanity—language. Linguists develop powerful tools to discover how knowledge of language is acquired and how the brain ... Read more

    $31.99 CAD

  • Neural Networks for Knowledge Representation and Inference

    The second published collection based on a conference sponsored by the Metroplex Institute for Neural Dynamics -- the first is Motivation, Emotion, and Goal Direction in Neural Networks (LEA, 1992) -- this book addresses the controversy between symbolicist artificial intelligence and neural network theory. A particular issue is how well neural networks -- well established for statistical pattern ... Read more

    $52.99 CAD

  • Foundations of Deep Learning

    Series series Artificial Intelligence (R0)
    Deep learning has significantly reshaped a variety of technologies, such as image processing, natural language processing, and audio processing. The excellent generalizability of deep learning is like a “cloud” to conventional complexity-based learning theory: the over-parameterization of deep learning makes almost all existing tools vacuous. This irreconciliation considerably undermines the ... Read more

    $167.99 CAD

  • Artificial General Intelligence

    9th International Conference, AGI 2016, New York, NY, USA, July 16-19, 2016, Proceedings

    Series series Springer Nature Proceedings Computer Science
    This book constitutes the refereed proceedings of the 9th International Conference on Artificial General Intelligence, AGI 2016, held in New York City, NY, USA, in July 2016 as part of HLAI 2016, the Joint Multi-Conference on Human-Level Artificial Intelligence 2016.The 24 full papers, 2 short papers, and 10 poster papers presented were carefully reviewed and selected from 67 submissions. AGI ... Read more

    $64.99 CAD

  • Big Data

    Series series Elements in the Philosophy of Science
    Big Data and methods for analyzing large data sets such as machine learning have in recent times deeply transformed scientific practice in many fields. However, an epistemological study of these novel tools is still largely lacking. After a conceptual analysis of the notion of data and a brief introduction into the methodological dichotomy between inductivism and hypothetico-deductivism, several ... Read more

    $23.99 CAD

  • Artificial General Intelligence

    19th International Conference, AGI 2026, San Francisco, CA, USA, July 27–30, 2026, Proceedings, Part I

    Series Book 1 - Springer Nature Proceedings Computer Science
    This book constitutes the refereed proceedings of the 19th International Conference on Artificial General Intelligence, AGI 2026, held in San Francisco, CA, USA in July 27–30, 2026.The 60 full papers included in this book were carefully reviewed and selected from 167 submissions.A theme emerges from the accepted papers: Searching for a fundamental structure of AGI, via embodied forms and epistemic ... Read more

    $115.99 CAD

  • Artificial General Intelligence

    18th International Conference, AGI 2025, Reykjavic, Iceland, August 10–13, 2025, Proceedings, Part II

    Series Book 2 - Springer Nature Proceedings Computer Science
    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 ... Read more

    $115.99 CAD

  • Artificial General Intelligence

    18th International Conference, AGI 2025, Reykjavic, Iceland, August 10–13, 2025, Proceedings, Part I

    Series Book 1 - Springer Nature Proceedings Computer Science
    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 ... Read more

    $73.99 CAD

  • Artificial General Intelligence

    14th International Conference, AGI 2021, Palo Alto, CA, USA, October 15–18, 2021, Proceedings

    Series series Springer Nature Proceedings Computer Science
    This book constitutes the refereed proceedings of the 14th International Conference on Artificial General Intelligence, AGI 2021, held as a hybrid event in San Francisco, CA, USA, in October 2021.The 36 full papers presented in this book were carefully reviewed and selected from 50 submissions. The papers cover topics from foundations of AGI, to AGI approaches and AGI ethics, to the roles of ... Read more

    $109.99 CAD

  • Information-Driven Machine Learning

    Data Science as an Engineering Discipline

    Series series Computer Science (R0)
    This groundbreaking book transcends traditional machine learning approaches by introducing information measurement methodologies that revolutionize the field.Stemming from a UC Berkeley seminar on experimental design for machine learning tasks, these techniques aim to overcome the 'black box' approach of machine learning by reducing conjectures such as magic numbers (hyper-parameters) or model ... Read more

    $70.99 CAD

  • Principles of Machine Learning

    The Three Perspectives

    by Wenmin Wang ...
    Series series Computer Science (R0)
    Conducting an in-depth analysis of machine learning, this book proposes three perspectives for studying machine learning: the learning frameworks, learning paradigms, and learning tasks. With this categorization, the learning frameworks reside within the theoretical perspective, the learning paradigms pertain to the methodological perspective, and the learning tasks are situated within the ... Read more

    $89.99 CAD