Der Praxisleitfaden für die Zukunft der Softwareentwicklung mit KI-Assistenz- Erfahren Sie, wie Sie KI-Tools Schritt für Schritt in Ihre täglichen Arbeitsabläufe integrieren- Anhand konkreter Beispiele zeigt Ihnen Nathan B.
An introduction to key concepts and techniques in probabilistic machine learning for civil engineering students and professionals; with many step-by-step examples, illustrations, and exercises.
Semantic Models in IoT and eHealth Applications explores the key role of semantic web modeling in eHealth technologies, including remote monitoring, mobile health, cloud data and biomedical ontologies.
La inteligencia artificial ha dejado de ser una promesa futura para convertirse en una realidad que transforma radicalmente el ejercicio del derecho y los sistemas judiciales.
A no-holds-barred look at Uber, the multi-billion dollar disruptor that has revolutionised the transportation industry around the worldUber is one of the most fascinating and controversial businesses in the world, both beloved for its elegant ride-hailing concept and heady growth, and condemned for CEO Travis Kalanick's ruthless pursuit of success at all cost.
'Bold, inspired and hopeful' Arianna Huffington, founder and CEO of Thrive Global'Lucid and captivating' Max Tegmark, professor of physics at MIT and author of Life 3.
The incredible book behind the primetime Channel 4 documentary, Peter: The Human Cyborg'A remarkable account of what it means to be human and what technology can really achieve' Sunday Telegraph'Peter's story is one of the most extraordinary you will ever hear.
The Fourth Industrial Revolution is changing everything - from the way we relate to each other, to the work we do, the way our economies work, and what it means to be human.
FROM THE BBC REITH LECTURER 2021'The most important book I have read in quite some time' Daniel Kahneman; 'A must-read' Max Tegmark; 'The book we've all been waiting for' Sam HarrisHumans dream of super-intelligent machines.
'A terrific book - essential reading for everyone seeking to make sense of Artificial Intelligence' Professor Sir Adrian Smith, Director and Chief Executive of the Alan Turing InstituteIn this myth-busting guide to AI past and present, one of the world's leading researchers shows why our fears for the future are misplaced.
NOMINATED FOR THE FT & McKINSEY BUSINESS BOOK OF THE YEAR AWARDS 2020'A path-breaking, thought-provoking and in-depth study of how new technology will transform the world of work' Gordon Brown 'Compelling.
Iterative algorithms often rely on approximate evaluation techniques, which may include statistical estimation, computer simulation or functional approximation.
Image Acquisition and Processing With LabVIEWa combines the general theory of image acquisition and processing, the underpinnings of LabVIEW and the NI Vision toolkit, examples of their applications, and real-world case studies in a clear, systematic, and richly illustrated presentation.
Fragmentation characteristics influence mucking productivity, crusher throughput and energy consumption, plant efficiency, yield and recovery, or the price itself of the end product in the case of industrial minerals and aggregates.
This book contains invited lecturers and full papers presented at VIPIMAGE 2011 - III ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing (Olh Algarve, Portugal, 12-14 October 2011).
Computational Modelling of Objects Represented in Images: Fundamentals, Methods and Applications III contains all contributions presented at the International Symposium CompIMAGE 2012 - Computational Modelling of Object Presented in Images: Fundamentals, Methods and Applications (Rome, Italy, 5-7 September 2012).
Fuzzy logic has virtually exploded over the landscape of emerging technologies, becoming an integral part of myriad applications and a standard tool for engineers.
'Enlightening, impassioned, powerful' The Times From dating apps and self-driving cars to facial recognition and the justice system, the increasing presence of AI has been widely championed - but there are limitations and risks too.
Data Mining: Concepts and Techniques provides the concepts and techniques in processing gathered data or information, which will be used in various applications.
Artificial Vision is a rapidly growing discipline, aiming to build computational models of the visual functionalities in humans, as well as machines that emulate them.
This book provides a careful explanation of the basic areas of electronics and computer architecture, along with lots of examples, to demonstrate the interface, sensor design, programming and microcontroller peripheral setup necessary for embedded systems development.
Feature Extraction and Image Processing for Computer Vision is an essential guide to the implementation of image processing and computer vision techniques, with tutorial introductions and sample code in Matlab.
This book provides a careful explanation of the basic areas of electronics and computer architecture, along with lots of examples, to demonstrate the interface, sensor design, programming and microcontroller peripheral setup necessary for embedded systems development.
The exponential explosion of images and videos concerns everybody's common life, since this media is now present everywhere and in all human activities.
Autonomic networking aims to solve the mounting problems created by increasingly complex networks, by enabling devices and service-providers to decide, preferably without human intervention, what to do at any given moment, and ultimately to create self-managing networks that can interface with each other, adapting their behavior to provide the best service to the end-user in all situations.
Data Mining: Concepts and Techniques provides the concepts and techniques in processing gathered data or information, which will be used in various applications.
This book considers classical and current theory and practice, of supervised, unsupervised and semi-supervised pattern recognition, to build a complete background for professionals and students of engineering.
Machine Learning: A Constraint-Based Approach provides readers with a refreshing look at the basic models and algorithms of machine learning, with an emphasis on current topics of interest that includes neural networks and kernel machines.
This book considers classical and current theory and practice, of supervised, unsupervised and semi-supervised pattern recognition, to build a complete background for professionals and students of engineering.
