Neural networks usually work adequately on small problems but can run into trouble when they are scaled up to problems involving large amounts of input data. Circuit Complexity and Neural Networks addresses the important question of how well neural networks scale - that is, how fast the computation time and number of neurons grow as the problem size increases. It surveys recent research in circ…
Excerpt from the Preface The principal motivation for this work arose from the obvious desirability of finding a single quantity, a tag so to speak, to describe the noise performance of a two-terminal-pair amplifier. The possibility of the existence of such a quantity and even the general functional form which it might be expected to take were suggested by previous work of one of the authors on…
Includes index.These twenty lectures have been developed and refined by Professor Siebert during the more than two decades he has been teaching introductory Signals and Systems courses at MIT. The lectures are designed to pursue a variety of goals in parallel: to familiarize students with the properties of a fundamental set of analytical tools; to show how these tools can be applied to help und…
Communication Complexity describes a new intuitive model for studying circuit networks that captures the essence of circuit depth. Although the complexity of boolean functions has been studied for almost 4 decades, the main problems the inability to show a separation of any two classes, or to obtain nontrivial lower bounds remain unsolved. The communication complexity approach provides clues as…
Papers presented at the Fifth MIT Conference on Advanced Research in VLSI, organized by the Microsystems Research Center of the Massachusetts Institute of Technology, held in Cambridge, Mass., Mar. 1988.The field of VLSI (Very Large Scale Integration) is concerned with the design, production, and use of highly complex integrated circuits. The research collected here comes from many disciplines,…
Neuromorphic engineers work to improve the performance of artificial systems through the development of chips and systems that process information collectively using primarily analog circuits. This book presents the central concepts required for the creative and successful design of analog VLSI circuits. The discussion is weighted toward novel circuits that emulate natural signal processing. Un…
This book introduces the concept of holistic design and development of cyber physical systems to achieve their safe and secure operation. It shows that by following the standards for embedded system’s safety and using appropriate hardware and software components inherently safe system’s architectures can be devised and certified. While the standards already enable testing and certification…
"MIT Press."An exploration of the techniques for analyzing the behavior of one- and two-dimensional iterative networks formed of discrete, or logical elements, showing that most questions about the behavior of iterative systems are recursively undecidable.Title from vendor webpage (IEEE Xplore; viewed on Feb. 14, 2013).An exploration of the techniques for analyzing the behavior of one- and two-…
In Making Microchips, Jan Mazurek examines the environmental and economic implications of the computer microchip industry's exodus from California's Silicon Valley to New Mexico, Virginia, Ireland, and Taiwan. Globalization, economic restructuring, and changing manufacturing processes in this rapidly growing industry present difficult new questions for environmental policy. Mazurek challenges t…
"Today's computers must perform with increasing reliability, which in turn depends on the problem of determining whether a circuit has been manufactured properly or behaves correctly. However, the greater circuit density of VLSI circuits and systems has made testing more difficult and costly. This book notes that one solution is to develop faster and more efficient algorithms to generate test p…