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Lecture Notes in Computer Science

This book constitutes the proceedings of the 15th International Workshop, CDMRI 2024, held in conjunction with MICCAI 2024, the 27th International Conference on Medical Image Computing and Computer-Assisted Intervention. The conference took place in Marrakesh, Morocco, October 6, 2024.


The 19 full papers presented in this book were carefully reviewed and selected from 22 submissions.

Computational Diffusion MRI

15th International Workshop, CDMRI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings

- Super-Resolution of Diffusion-Weighted Images via TDI-Conditioned Diffusion Model. .- Diffusion-Based Gray-White Matter Mapping for Quantitative Tractography in Glioma Patients. .- Ground-truth effects in learning-based fiber orientation distribution estimation in neonatal brains. .- Synthesizing 3D axon morphology: springs are all we need. .- Randomly COMMITting: Iterative Convex Optimization for Microstructure-Informed Tractography. .- AID-DTI: Accelerating High-fidelity Diffusion Tensor Imaging with Detail-preserving Model-based Deep Learning. .- Multi-dimensional Parameter Space Exploration for Streamline-specific Tractography. .- Cross-domain Fiber Cluster Shape Analysis for Language Performance Cognitive Score Prediction. .- Can Transfer Learning Improve Supervised Segmentation of White Matter Bundles in Glioma Patients. .- Image Quality Transfer of Diffusion MRI Guided By High-Resolution Structural MRI. .- QID2: An Image-Conditioned Diffusion Model for Q-space Up-sampling of DWI Data. .- Ts-FWE: Token-Aware Single-shell Free Water Estimation for Brain Diffusion MRI. .- Assessing Early Motor System Degeneration in the Spinal Cord of ALS Patients Using Diffusion MRI: An Exploratory Study. .- RobNODDI: Robust NODDI Parameter Estimation with Adaptive Sampling under Continuous Representation. .- Introducing QuantConn: Overcoming challenging diffusion acquisitions with harmonization. .- Learning Low-Rank Tensor Approximation for GPU-based Tractography. .- Deep multivariate autoencoder for capturing complexity in Brain Structure and Behaviour Relationships. .- Heritability and Genetic Correlations Along the Corticospinal Tract. .- Corpus Callosum Parcellation Methods: What Can Tractography Tell Us About Them?.

International Standard ISO/IEC 8652:2023 (E)

Ada 2022 Reference Manual. Volume 1 - Core Language

Ada 2022 Reference Manual. Volume 2 - Standard Libraries and Interfacing

Ada 2022 Reference Manual. Volume 3 - Specialized Needs Annexes, Summaries, and Indexes

This textbook is intended for an undergraduate course on the fundamentals of parallel computing or as background and reference for graduate courses on high-performance computing, shared-memory multiprocessor programming, or parallel algorithms.The author introduces theoretical concepts and tools for expressing, analyzing, and assessing parallel algorithms, and covers in detail the two most widely used concrete frameworks OpenMP and MPI, plus the threading interface pthreads for writing parallel programs for either shared or distributed memory parallel computers with an emphasis on general concepts and principles. Code examples are given in a C-like style, and the extensive exercises can be used for self-study and as inspiration for small implementation projects in OpenMP and MPI.The book is appropriate for undergraduate and graduate students, and for professionals engaged in all aspects of parallel computing.

Lectures on Parallel Computing

MICCAI Challenge, FLARE 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings

Fast, Low-Resource, Accurate Robust Organ and Pan-cancer Segmentation

23rd International Conference, ACNS 2025, Munich, Germany, June 23–26, 2025, Proceedings, Part I

Applied Cryptography and Network Security

Lecture Notes in Artificial Intelligence

23rd International Conference, AIME 2025, Pavia, Italy, June 23–26, 2025, Proceedings, Part I

Artificial Intelligence in Medicine

23rd International Conference, ACNS 2025, Munich, Germany, June 23–26, 2025, Proceedings, Part II

23rd International Conference, ACNS 2025, Munich, Germany, June 23–26, 2025, Proceedings, Part III

23rd International Conference, AIME 2025, Pavia, Italy, June 23–26, 2025, Proceedings, Part II

22nd International Conference, CPAIOR 2025, Melbourne, VIC, Australia, November 10–13, 2025, Proceedings, Part II

Integration of Constraint Programming, Artificial Intelligence, and Operations Research

22nd International Conference, CPAIOR 2025, Melbourne, VIC, Australia, November 10–13, 2025, Proceedings, Part I

Digital Geographies

Purposeful Use of the Internet and Technologies

Global Digital Divides in the COVID-19 Era

Algorithms have become the key organizer through which power is enacted in our society. A huge amount of data regarding our daily routines are monitored and analyzed to make recommendations that manage, control, and lead our behaviors in everyday life. AI, Humans, and Misinformation: How Does AI Alter Human Behavior and How Do Humans Influence Algorithmic Misinformation? is a guide to understanding the dynamics of AI and misinformation in human contexts by addressing meaningful questions-How does AI alter human behavior and how do humans influence algorithmic decision-making? In answering these questions, this book examines the role of misinformation, disinformation, and fake news, and shows readers how to develop AI methods and algorithms that combat misinformation by using AI design choices that provide users and developers alike with meaningful control over AI. This book brings together various perspectives on algorithms into an integrated conceptual framework, and provides a broad socio-technical analysis, addressing critical and ethical issues of misinformation and fake news. The book offers a compelling insight into the misinformation phenomenon and the future of AI-based society. Readers will find an integrated technical analysis of the logic and social implications of algorithmic processes. Reporting from the cutting edge of critical technical methods and research, the result is useful and constructive for developing the relations between algorithms and humans. This is an imperative methodology for understanding what is at stake as industry and government use AI to reshape the world.

Decoding Bias, Algorithms, and Trust

Minds, Machines, and Misinformation

Springer Handbooks of Computational Statistics

Handbook of Blockchain Analytics

Chapman & Hall/CRC Data Mining and Knowledge Discovery Series

As data continues to grow exponentially, knowledge of data science and machine learning has become more crucial than ever. Machine learning has grown exponentially, however, the abundance of resources can be overwhelming

Using SAS Enterprise Miner

Data Science and Machine Learning for Non-Programmers

Integration of Federated Learning and Blockchain f or Smart Cities

Sustainable Computing and Optimization

Trends and Future Challenges

Managing Sustainable Operations of Logistics and Supply Chain Management

Leveraging AI, Data and Analytics in Travel

Technology-Led Tourism

Depending on who you ask, artificial intelligence is our salvation or our doom; an overhyped, bigoted artist or the ticket to immortality and utopian abundance; just another tech fad or the last invention we need ever make. The AI discourse is confusing, messy, and frustrating. But the technology — and our response to it — will shape the future, whether or not we’re part of the conversation.
Obsolete is&nbsp;for those who are interested in learning more about AI, but unsure of where to start and who to believe. They may feel intimidated by the technical jargon, put off by dry and abstract prose, or skeptical of the loudest voices on the issue (like Elon Musk and Sam Altman). Obsolete will introduce readers to the basics of AI, the idea that it could lead to human extinction, the roiling three-sided debate surrounding extinction fears, and the people and companies trying to build artificial general intelligence (AGI) — that which can outwit humans across the board. The book will grapple with the core arguments animating the AI debates, which are, by turns, uncritically parroted and unduly dismissed. It will also cut through industry hype while seriously entertaining the implications of AGI.
The risk that AGI could result in our extinction is being recognized by a significant and growing number of leading AI researchers, industrialists, and policymakers, along with the wider public. Existential risk from AI has been explored in other books, but Obsolete will be the first to center its analysis on how both capitalist and great power competition make AI more dangerous.
Obsolete will also tackle questions like: Can machines actually outsmart humanity? If so, when could that happen? If AGI is possible, is it inevitable? Why are people trying to build a technology they claim could end the world? Is the idea of AI-driven extinction the product of a big tech conspiracy aiming to hype the technology and control its regulation? Why has the left mostly ignored or dismissed existential risk from AI? Why do some powerful techies welcome human extinction? How could AI enable stable authoritarian regimes? How could killer robots reshape war and the balance of power? What do China and the US want from AI? And why has it become the front line of their brewing Cold War? And finally: What can and should the left do about it?

Power, Profit, And The Race For Machine Superintelligence

Obsolete

Encyclopedia of Optimization

Kooperationswerke Beck - Hart

Article-by-Article Commentary

Artificial Intelligence Act

edition suhrkamp

Mit Programmen wie ChatGPT hat künstliche Intelligenz ein solches Niveau erreicht, dass es kaum noch möglich ist, zu erkennen, ob ein Text von einem Computer stammt oder von einem Menschen. 
 Können Sie mit Bestimmtheit ausschließen, dass diese Zeilen von einem Algorithmus verfasst wurden?
 
 
 
 Für die Rezeption von Geschriebenem bedeutet das eine Zeitenwende. Wenn wir stets unterstellen müssen, dass hinter einem Text KI steckt, ergibt die Unterscheidung natürlich/artifiziell keinen Sinn mehr - eine postartifizielle Ära bricht an. Hannes Bajohr erörtert, wie sich diese Verschiebung auf Zeitungsartikel oder wissenschaftliche Publikationen auswirkt und wie sie das literarische Lesen und Schreiben verändert.

Lesen im Zeitalter künstlicher Intelligenz

Postartifizielle Literatur

Gain the Confidence You Need to Succeed

Data and AI Skills

Computational Diffusion MRI

Contenu

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Sommaire

Mots-clés

Contenu

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