Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.

Deep Learning

THE DESIGN AND ANALYSIS OF EXPERIMENTS. By Oscar Kempthorne. New York, John Wiley and Sons, Inc., 1952. 631 pp. $8.50. This book by a teacher of statistics (as well as a consultant for \"experimenters\") is a comprehensive study of the philosophical background for the statistical design of experiment. It is necessary to have some facility with algebraic notation and manipulation to be able to use the volume intelligently. The problems are presented from the theoretical point of view, without such practical examples as would be helpful for those not acquainted with mathematics. The mathematical justification for the techniques is given. As a somewhat advanced treatment of the design and analysis of experiments, this volume will be interesting and helpful for many who approach statistics theoretically as well as practically. With emphasis on the \"why,\" and with description given broadly, the author relates the subject matter to the general theory of statistics and to the general problem of experimental inference. MARGARET J. ROBERTSON

The Design and Analysis of Experiments

Computational geometry

The authors discuss high-voltage power conversion. Conventional series connection and three-level voltage source inverter techniques are reviewed and compared. A novel versatile multilevel commutation cell is introduced: it is shown that this topology is safer and more simple to control, and delivers purer output waveforms. The authors show how this technique can be applied to either choppers or voltage-source inverters and generalized to any number of switches.<<ETX>>

Multi-level conversion : high voltage choppers and voltage-source inverters

Nanotechnology is the science of understanding matter and the control of matter at dimensions of 100 nm or less. Encompassing nanoscale science, engineering, and technology, nanotechnology involves imaging, measuring, modeling, and manipulation of matter at this level of precision. An important aspect of research in nanotechnology involves precision control and manipulation of devices and materials at a nanoscale, i.e., nanopositioning. Nanopositioners are precision mechatronic systems designed to move objects over a small range with a resolution down to a fraction of an atomic diameter. The desired attributes of a nanopositioner are extremely high resolution, accuracy, stability, and fast response. The key to successful nanopositioning is accurate position sensing and feedback control of the motion. This paper presents an overview of nanopositioning technologies and devices emphasizing the key role of advanced control techniques in improving precision, accuracy, and speed of operation of these systems.

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A Survey of Control Issues in Nanopositioning

This presentation will contrast WiMAX and 3G wireless technologies and will discuss whether the two technologies are competing or complementary particularly for developing countries.The eventual convergence of the two in what is called "LTE or Long Term Evolution,or Super 3G, S3G " will also be discussed. To this end , the challenges that lie ahead in developing complex MIMO radios with multi-band front end modules (FEMs) will be discussed.Examples of WiMAX and LTE radio architectures will be presented.

WiMAX: a competing or complementary technology to 3G?

This paper presents a new technique for continuous time offset compensation for high precision comparators A high speed, high precision BiCMOS comparator was fabricated through MOSIS, and offset compensation was achieved using an offset compensated differential difference amplifier (DDA) Using this technique the comparator was offset compensated without ever being disabled, or disconnected from the signals it was comparing Thus, an overall much higher comparison rate can be achieved by eliminating the offset calibration cycle

A continuous-time offset compensated high speed BiCMOS comparator

In this paper we propose a new implementation method for the design of op amp input stage with rail-to-rail constant-g/sub m/. The new implementation is based on processing signal currents rather than handling DC tail currents. As a result, it is universal in that the constant-g/sub m/ can be obtained independent of input transistor types (MOS or bipolar) and their operating regions (weak or strong inversion for MOS and active for bipolar). To demonstrate the idea, a new MOS-type input stage has been designed with a 2-/spl mu/m CMOS process and simulation results of input stage transconductance are provided. The common mode input voltage can even exceed the positive and the negative rails by 300 mV.

A new implementation of constant-g/sub m/ op amp input stage for CMOS low voltage applications

As we move from third generation (3G) to 4G wireless and as we strive to meet the demands for higher data rates and short distance wireless applications, a debate has ensued on whether cellular and WLAN/WMAN are seen as complementary or competing technologies. In either case, wireless services beyond 3G (B3G) are moving to all-IP, always-best-connected, convergent wireless solutions requiring access to different wireless infrastructures from the same wireless device, be it a cell phone, a laptop or a PDA for a multitude of services including voice, data and multimedia applications. For future handheld wireless devices, this requires low power, low cost multi-standard multi-band chipsets, the radio part of which will be increasingly complex with stringent demands on power consumption and cost as the two main differentiators. We will present radio design IPs at the system, architectural and block levels for emerging always-best-connected wireless applications and with focus on smart power, first-pass-silicon radio transceiver design in deep sub-micron CMOS. We will highlight both the challenges and the opportunities for innovation in this area.

First-pass-silicon radio IPs for B3G wireless networks

This paper presents new algorithms (1) to generate complete mathematical symbolic expressions of continued fraction expansion coefficients in the s-domain, (2) to determine their numeric values and (3) to perform continued fraction inversion in the s-domain. A software package in PASCAL and LISP to implement these algorithms is developed. In addition, a simple z-domain inversion algorithm used in the computer implementation of bilinear s-z transformation is also included in the software package. These algorithms play an important role in the analysis and synthesis of complex electrical networks and control systems. Especially, the s-domain expansion and inversion algorithms have potential applications in model simplification and system order reductions. the paper also shows that the package, as such, serves as a comprehensive computer-aided analysis and design (CAD) toolkit for both continuous and discrete systems. the software is interactive and runs on computers equipped with a PASCAL or LISP compiler. It is noted that the iterative implementation of these methods using the new continued fraction algorithms saves considerable memory space and processing time. Numerical examples and computer data are given to demonstrate the development of the new algorithms and the usefulness of the software toolkit in the CAD design of continuous and discrete systems.

Mohammed Ismail

Papers

WiMAX: a competing or complementary technology to 3G?

A continuous-time offset compensated high speed BiCMOS comparator

A new implementation of constant-g/sub m/ op amp input stage for CMOS low voltage applications

First-pass-silicon radio IPs for B3G wireless networks

A Computer‐Aided Design Toolkit For Continuous/Discrete Systems Based On Continued Fractions