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Architects of Intelligence: The truth about AI from the people building it
Architects of Intelligence: The truth about AI from the people building it

Financial Times Best Books of the Year 2018

TechRepublic Top Books Every Techie Should Read

Book Description

How will AI evolve and what major innovations are on the horizon? What will its impact be on the job market, economy, and society? What is the path toward human-level...

Learning Machine Translation (Neural Information Processing)
Learning Machine Translation (Neural Information Processing)
The Internet gives us access to a wealth of information in languages we don't understand. The investigation of automated or semi-automated approaches to translation has become a thriving research field with enormous commercial potential. This volume investigates how machine learning techniques can improve statistical machine translation, currently...
Distributed Algorithms (The Morgan Kaufmann Series in Data Management Systems)
Distributed Algorithms (The Morgan Kaufmann Series in Data Management Systems)
In Distributed Algorithms, Nancy Lynch provides a blueprint for designing, implementing, and analyzing distributed algorithms. She directs her book at a wide audience, including students, programmers, system designers, and researchers.

Distributed Algorithms
contains the most significant algorithms and impossibility
...
Cooperative Control of Distributed Multi-Agent Systems
Cooperative Control of Distributed Multi-Agent Systems

The paradigm of ‘multi-agent’ cooperative control is the challenge frontier for new control system application domains, and as a research area it has experienced a considerable increase in activity in recent years. This volume, the result of a UCLA collaborative project with Caltech, Cornell and MIT, presents cutting edge results in...

Knowledge-Based Neurocomputing
Knowledge-Based Neurocomputing
Neurocomputing methods are loosely based on a model of the brain as a network of simple interconnected processing elements corresponding to neurons. These methods derive their power from the collective processing of artificial neurons, the chief advantage being that such systems can learn and adapt to a changing environment. In knowledge-based...
The Neural Simulation Language: A System for Brain Modeling
The Neural Simulation Language: A System for Brain Modeling
The Neural Simulation Language (NSL), developed by Alfredo Weitzenfeld, Michael Arbib, and Amanda Alexander, provides a simulation environment for modular brain modeling. NSL is an object-oriented language offering object-oriented protocols applicable to all levels of neural simulation. One of NSL's main strengths is that it allows for realistic...
Principles of Model Checking
Principles of Model Checking
Our growing dependence on increasingly complex computer and software systems necessitates the development of formalisms, techniques, and tools for assessing functional properties of these systems. One such technique that has emerged in the last twenty years is model checking, which systematically (and automatically) checks whether a model of a...
Bioinformatics: The Machine Learning Approach, Second Edition (Adaptive Computation and Machine Learning)
Bioinformatics: The Machine Learning Approach, Second Edition (Adaptive Computation and Machine Learning)

We have been very pleased, beyond our expectations, with the reception of the first edition of this book. Bioinformatics, however, continues to evolve very rapidly, hence the need for a new edition. In the past three years, fullgenome sequencing has blossomed with the completion of the sequence of the fly and the first draft of the...

Foundations of Analog and Digital Electronic Circuits (The Morgan Kaufmann Series in Computer Architecture and Design)
Foundations of Analog and Digital Electronic Circuits (The Morgan Kaufmann Series in Computer Architecture and Design)

The book issued by two professors at MIT is intended to initiate a new approach in presenting and developing analog and digital electronics. Traditionally, analog and digital elements and circuits are given in separate courses. Here, the authors want to show that in presenting both topics (analog and digital), a deeper insight of the real...

Risk Management and Capital Adequacy
Risk Management and Capital Adequacy

A Step-by-Step Approach for Integrating Market, Credit, and Operational Risk Management--While Complying with New Basel Accord Guidelines

For financial institutions around the world, the work involved in managing market, credit, and operational risk exposures--as well as the capital required to support such...

Automatic Algorithm Recognition and Replacement: A New Approach to Program Optimization
Automatic Algorithm Recognition and Replacement: A New Approach to Program Optimization
Optimizing compilers have a fundamental problem. No matter how powerful their optimizations
are, they are no substitute for good application algorithms. Consider the case of
sorting. For sufficiently large data sets, a merge sort algorithm compiled with a less powerful
optimizer will always out-perform a selection sort algorithm
...
Machine Translation (MIT Press Essential Knowledge series)
Machine Translation (MIT Press Essential Knowledge series)

A concise, nontechnical overview of the development of machine translation, including the different approaches, evaluation issues, and major players in the industry. About the Author Thierry Poibeau is Director of

Research at the Centre National de la Recherche Scientifique in Paris, Head of the LATTICE (Langues, Textes,...

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