Imperfect Algorithm
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Scalable Uncertainty Management
This book constitutes the refereed proceedings of the Second International Conference on Scalable Uncertainty Management, SUM 2008, held in Naples, Italy, in Oktober 2008. The 27 revised full papers presented together with the extended abstracts of 3 invited talks/tutorials were carefully reviewed and selected from 42 submissions. The papers address artificial intelligence researchers, database researchers, and practitioners to demonstrate theoretical techniques required to manage the uncertainty that arises in large scale real world applications and to cope with large volumes of uncertainty and inconsistency in databases, the Web, the semantic Web, and artificial intelligence in general.
Tools and Algorithms for the Construction and Analysis of Systems
Author: Stefan Kowalewski
language: en
Publisher: Springer Science & Business Media
Release Date: 2009-03-09
This book constitutes the refereed proceedings of the 15th International Conference on Tools and Algorithms for the Construction and Analysis of Systems, TACAS 2009, held in York, UK, in March 2009, as part of ETAPS 2009, the European Joint Conferences on Theory and Practice of Software. The 27 full papers and 8 tool demonstrations included in the volume were thoroughly reviewed and selected from 131 submissions. The papers are organized in topical sections on Model Checking, Tools, Verification of Concurrent Programs, Parametric Analysis, Program Analysis, and Hybrid Systems.
The Economy of Algorithms
Author: Marek Kowalkiewicz
language: en
Publisher: Simon and Schuster
Release Date: 2024-02-12
‘A damn well-written book . . . a thrilling, entertaining whirlwind tour of different AI algorithms and their industry applications.’ —Tobias Lange, Senior Vice President, Siemens Digital Industries Software Welcome to the economy of algorithms. It’s here and it’s growing. In the past few years, we have been flooded with examples of impressive technology. Algorithms have been around for hundreds of years, but they have only recently begun to ‘escape’ our understanding. We are so impressed by what they can do that we give them a lot of agency. But because they are so hard to comprehend, this leads to all kinds of unintended consequences. In the twentieth century, we had the economy of corporations. In the first two decades of the twenty-first century, we saw the emergence of the economy of people, otherwise known as the digital economy, enabled by the internet. Now we’re seeing a new economy take shape: the economy of algorithms. – How can we use algorithms to automate the boring parts of our jobs, enhance decision-making and drive innovation? – Where is the line between algorithmic ‘help’ and surveillance? – Can an algorithm take your job? – How do you advertise to a fridge? – Do algorithms dream of electric sheep? – Why is it so hard to predict where technology will go next? These questions and more are answered by this exciting and ground-breaking book, which includes nine rules for flourishing in the new economy of algorithms.