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Without any formal training in music composition or even the
ability to notate melodies on a musical staff, Irving Berlin took a
knack for music and turned it into the most successful songwriting
career in American history. Berlin was the first Tin Pan Alley
songwriter to go "uptown" to Broadway with a complete musical score
(Watch Your Step in 1914); he is the only songwriter to build a
theater exclusively for his own work (The Music Box); and his name
appears above the title of his Broadway shows and Hollywood films
(iIrving Berlin's Holiday Inn), still a rare honor for songwriters.
Berlin is also notable due the length of his 90+ year career in
American Song; he sold his first song at the age of 8 in 1896, and
passed away in 1989 at the age of 101 having outlived several of
his own copyrights. Throughout his career, Berlin showed that a
popular song which appealed to the masses need not be of a lesser
quality than songs informed by the principles of "classical" music
composition. Forty years after his last published song many of his
songs remain popular and several have even entered folk song status
("White Christmas," "Easter Parade," and "God Bless America"),
something no other 20th-century American songwriter can claim. As
one of the most seminal figures of twentieth century, both in the
world of music and in American culture more generally, and as one
of the rare songwriters equally successful with popular songs,
Broadway shows, and Hollywood scores, Irving Berlin is the subject
of an enormous corpus of writing, scattered throughout countless
publications and archives. A noted performer and interpreter of
Berlin's works, Benjamin Sears has unprecedented familiarity with
these sources and brings together in this Reader a broad range of
the most insightful primary and secondary materials. Grouped
together according to the chronology of Berlin's life and work,
each section and article features a critical introduction to orient
the reader and contextualize the materials within the framework of
American musical history. Taken as a whole, they provide a new
perspective on Berlin that highlights his musical genius in the
context of his artistic development through a unique mix of
first-hand views of Berlin as an artist, critical assessments of
his work, and more general overviews of his life and work.
What is an artificial intelligence (AI)-enabled drone and what can
it do? Are AI-enabled drones better than human-controlled drones?
This book will answer these questions and more, and empower you to
develop your own AI-enabled drone. You'll progress from a list of
specifications and requirements, in small and iterative steps,
which will then lead to the development of Unified Modeling
Language (UML) diagrams based in part to the standards established
by for the Robotic Operating System (ROS). The ROS architecture has
been used to develop land-based drones. This will serve as a
reference model for the software architecture of unmanned systems.
Using this approach you'll be able to develop a fully autonomous
drone that incorporates object-oriented design and cognitive deep
learning systems that adapts to multiple simulation environments.
These multiple simulation environments will also allow you to
further build public trust in the safety of artificial intelligence
within drones and small UAS. Ultimately, you'll be able to build a
complex system using the standards developed, and create other
intelligent systems of similar complexity and capability.
Intelligent Autonomous Drones with Cognitive Deep Learning uniquely
addresses both deep learning and cognitive deep learning for
developing near autonomous drones. What You'll Learn Examine the
necessary specifications and requirements for AI enabled drones for
near-real time and near fully autonomous drones Look at software
and hardware requirements Understand unified modeling language
(UML) and real-time UML for design Study deep learning neural
networks for pattern recognition Review geo-spatial Information for
the development of detailed mission planning within these hostile
environments Who This Book Is For Primarily for engineers, computer
science graduate students, or even a skilled hobbyist. The target
readers have the willingness to learn and extend the topic of
intelligent autonomous drones. They should have a willingness to
explore exciting engineering projects that are limited only by
their imagination. As far as the technical requirements are
concerned, they must have an intermediate understanding of
object-oriented programming and design.
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