During the last thirty years of his life, Albert Einstein sought relentlessly for a so-called unified field theory—a theory capable of
describing nature's forces within a single, all-encompassing, coherent framework. Einstein was not motivated by the things we
often associate with scientific undertakings, such as trying to explain this or that piece of experimental data. Instead, he was driven
by a passionate belief that the deepest understanding of the universe would reveal its truest wonder: the simplicity and power of the
principles on which it is based.
Here the issue is that students will respond differently to a silent ﬁlm depending
on a variety of factors, such as the quality of the print selected. Instructors make
numerous choices concerning the way in which the class is conducted and mate-
rials are integrated. Many of these choices, such as which print of a ﬁlm to use,
may seem relatively simple, but they can often have larger, unforeseen implica-
tions. One illustration of this involves Edward T. Hall’s notion of proxemics—the
relationship of social space to culture.
As the full horror of the Asian tsunami sinks in, the reactions
of scientists echo those of the population as a whole. These
range from a sense of hopelessness in the face of nature’s
power to concern for the victims and a determination that their
suffering should be addressed.
Nowadays, huge amount of multimedia data are being constantly generated in
various forms from various places around the world. With ever increasing complexity
and variability of multimedia data, traditional rule-based approaches
where humans have to discover the domain knowledge and encode it into a
set of programming rules are too costly and incompetent for analyzing the
contents, and gaining the intelligence of this glut of multimedia data.
The challenges in data complexity and variability have led to revolutions
in machine learning techniques.