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Books > Computing & IT
The Beginnings of Electron Microscopy - Part 1, Volume 220 in the
Advances in Imaging and Electron Physics series highlights new
advances in the field, with this new volume presenting interesting
chapters on Electron-optical Research at the AEG
Forschungs-Institut 1928-1940, On the History of Scanning Electron
Microscopy, of the Electron Microprobe, and of Early Contributions
to Transmission Electron Microscopy, Random Recollections of the
Early Days, Early History of Electron Microscopy in Czechoslovakia,
Personal Reminiscences of Early Days in Electron, Megavolt Electron
Microscopy, Cryo-Electron Microscopy and Ultramicrotomy:
Reminiscences and Reflections, and much more.
Explore the ever-expanding, fascinating field of Artificial
Intelligence and its latest technologies with this industry-leading
text. Artificial Intelligence: A Modern Approach, Global Edition,
4th Edition by Stuart Russel and Peter Norvigis the
long-anticipated revision of this market-leading text, exploring
the full breadth and depth of the field of Artificial Intelligence
(AI). From robotic planetary explorers to online services with
billions of users, the textbook covers a wide range of
applications, delving into the advanced methods of reasoning, deep
learning, perception and mathematics. Thoroughly updated and with
new content, this latest edition brings you up to date on the
latest technological advancements in the field, presenting concepts
in a more unified manner. Some of the changes in the content
include: Content that focuses deeper on machine learning rather
than the hand-crafted knowledge of engineering. An updated,
thorough discussion emphasises deep learning, probabilistic
programming, and multi-agent systems. Extensive updates on the
Robotics chapter now include content regarding the interaction of
robots with humans. A new online site now includes all the
exercises for this edition, allowing the team of authors to update
and improve them continuously. Besides studying the methods and
technologies, this edition also considers the ethical aspects and
values of practicing the discipline. Fairness, integrity, respect,
and social good, provide a fundamental framework to the learning
process in this edition, studying the impact of AI on society. With
a plethora of topics, exercises, and practical applications, this
leading text is the must-read edition of this field, offering a
deeper understanding and a multi-faceted approach to this expanding
subject.
2012 Jolt Award finalist! Pioneering the Future of Software Test Do
you need to get it right, too? Then, learn from Google. Legendary
testing expert James Whittaker, until recently a Google testing
leader, and two top Google experts reveal exactly how Google tests
software, offering brand-new best practices you can use even if
you're not quite Google's size...yet! Breakthrough Techniques You
Can Actually Use Discover 100% practical, amazingly scalable
techniques for analyzing risk and planning tests...thinking like
real users...implementing exploratory, black box, white box, and
acceptance testing...getting usable feedback...tracking
issues...choosing and creating tools...testing "Docs & Mocks,"
interfaces, classes, modules, libraries, binaries, services, and
infrastructure...reviewing code and refactoring...using test hooks,
presubmit scripts, queues, continuous builds, and more. With these
techniques, you can transform testing from a bottleneck into an
accelerator-and make your whole organization more productive!
Today's "machine-learning" systems, trained by data, are so
effective that we've invited them to see and hear for us-and to
make decisions on our behalf. But alarm bells are ringing. Recent
years have seen an eruption of concern as the field of machine
learning advances. When the systems we attempt to teach will not,
in the end, do what we want or what we expect, ethical and
potentially existential risks emerge. Researchers call this the
alignment problem. Systems cull resumes until, years later, we
discover that they have inherent gender biases. Algorithms decide
bail and parole-and appear to assess Black and White defendants
differently. We can no longer assume that our mortgage application,
or even our medical tests, will be seen by human eyes. And as
autonomous vehicles share our streets, we are increasingly putting
our lives in their hands. The mathematical and computational models
driving these changes range in complexity from something that can
fit on a spreadsheet to a complex system that might credibly be
called "artificial intelligence." They are steadily replacing both
human judgment and explicitly programmed software. In best-selling
author Brian Christian's riveting account, we meet the alignment
problem's "first-responders," and learn their ambitious plan to
solve it before our hands are completely off the wheel. In a
masterful blend of history and on-the ground reporting, Christian
traces the explosive growth in the field of machine learning and
surveys its current, sprawling frontier. Readers encounter a
discipline finding its legs amid exhilarating and sometimes
terrifying progress. Whether they-and we-succeed or fail in solving
the alignment problem will be a defining human story. The Alignment
Problem offers an unflinching reckoning with humanity's biases and
blind spots, our own unstated assumptions and often contradictory
goals. A dazzlingly interdisciplinary work, it takes a hard look
not only at our technology but at our culture-and finds a story by
turns harrowing and hopeful.
Cognitive Models for Sustainable Environment reviews the
fundamental concepts of gathering, processing and analyzing data
from batch processes, along with a review of intelligent and
cognitive tools that can be used. The book is centered on evolving
novel intelligent/cognitive models and algorithms to develop
sustainable solutions for the mitigation of environmental
pollution. It unveils intelligent and cognitive models to address
issues related to the effective monitoring of environmental
pollution and sustainable environmental design. As such, the book
focuses on the overall well-being of the global environment for
better sustenance and livelihood. The book covers novel cognitive
models for effective environmental pollution data management at par
with the standards laid down by the World Health Organization.
Every chapter is supported by real-life case studies, illustrative
examples and video demonstrations that enlighten readers.
Environmentally Sustainable Corrosion Inhibitors: Fundamentals and
Industrial Applications covers the latest research developments in
environmentally friendly, sustainable corrosion inhibitors. The
book addresses the fundamental characteristics, synthesis,
characterization and mechanisms of corrosion inhibitors. In
addition, it presents a chronological overview of the growth of the
field, with numerous examples of its broad-ranging industrial
applications in a.o. food, the environment, electronics, and the
oil and gas industries. The book concludes with discussions about
commercialization and economics. This is an indispensable reference
for chemical engineers and chemists working in R&D and academia
who want to learn more about environmentally-friendly, sustainable
corrosion inhibitors systems.
Computers in Earth and Environmental Sciences: Artificial
Intelligence and Advanced Technologies in Hazards and Risk
Management addresses the need for a comprehensive book that focuses
on multi-hazard assessments, natural and manmade hazards, and risk
management using new methods and technologies that employ GIS,
artificial intelligence, spatial modeling, machine learning tools
and meta-heuristic techniques. The book is clearly organized into
four parts that cover natural hazards, environmental hazards,
advanced tools and technologies in risk management, and future
challenges in computer applications to hazards and risk management.
Researchers and professionals in Earth and Environmental Science
who require the latest technologies and advances in hazards, remote
sensing, geosciences, spatial modeling and machine learning will
find this book to be an invaluable source of information on the
latest tools and technologies available.
The application of artificial intelligence technology to 5G
wireless communications is now appropriate to address the design of
optimized physical layers, complicated decision-making, network
management, and resource optimization tasks within networks. In
exploring 5G wireless technologies and communication systems,
artificial intelligence is a powerful tool and a research topic
with numerous potential fields of application that require further
study. Applications of Artificial Intelligence in Wireless
Communication Systems explores the applications of artificial
intelligence for the optimization of wireless communication
systems, including channel models, channel state estimation,
beamforming, codebook design, signal processing, and more. Covering
key topics such as neural networks, deep learning, and wireless
systems, this reference work is ideal for computer scientists,
industry professionals, researchers, academicians, scholars,
practitioners, instructors, and students.
Advances in Imaging and Electron Physics, Volume 219, merges two
long-running serials, Advances in Electronics and Electron Physics
and Advances in Optical and Electron Microscopy. The series
features extended articles on the physics of electron devices
(especially semiconductor devices), particle optics at high and low
energies, microlithography, image science, digital image
processing, electromagnetic wave propagation, electron microscopy
and the computing methods used in all these domains.
This volume features an extensive account of both research and
expository papers in a wide area of engineering and mathematics and
its various applications.Topics treated within this book include
optimization of control points, game theory, equilibrium points,
algorithms, Cartan matrices, integral inequalities, Volterra
integro-differential equations, Caristi-Kirk theorems, Laplace type
integral operators, etc.This useful reference text benefits
graduate students, beginning research engineers and mathematicians
as well as established researchers in these domains.
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