Can You Patent An Algorithm
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Fundamentals of Patenting and Licensing for Scientists and Engineers
"This comprehensive book is the first of its kind to take scientists and engineers beyond simply getting a patent granted. Through the author's extensive technical background and experience in intellectual property licensing, it ties the many technical, legal and business aspects of patent enforcement to the innovation and patenting stage in the patent value chain, with the objective of helping inventors to create valuable patents that can be capitalized. In easy-to-understand language, this book covers various aspects, including basic concepts of patent laws and rules, innovation protection, patenting, patents post-granting and patent licensing. With over 40 tables, 70 figures, nearly 100 cases and examples, and a comprehensive index table, it serves as a practical handbook for inventors and patent practitioners. This second edition incorporates the latest changes in the America Invents Act (AIA), with additional case studies and illustrations throughout the book. For inventors who want to file patents by themselves, this new edition provides guidelines and step-by-step instructions on preparing and filing a US provisional patent application, while avoiding the pitfalls that commonly occur in do-it-yourself patenting."--
The Algorithm Design Manual
Author: Steven S Skiena
language: en
Publisher: Springer Science & Business Media
Release Date: 2009-04-05
This newly expanded and updated second edition of the best-selling classic continues to take the "mystery" out of designing algorithms, and analyzing their efficacy and efficiency. Expanding on the first edition, the book now serves as the primary textbook of choice for algorithm design courses while maintaining its status as the premier practical reference guide to algorithms for programmers, researchers, and students. The reader-friendly Algorithm Design Manual provides straightforward access to combinatorial algorithms technology, stressing design over analysis. The first part, Techniques, provides accessible instruction on methods for designing and analyzing computer algorithms. The second part, Resources, is intended for browsing and reference, and comprises the catalog of algorithmic resources, implementations and an extensive bibliography. NEW to the second edition: • Doubles the tutorial material and exercises over the first edition • Provides full online support for lecturers, and a completely updated and improved website component with lecture slides, audio and video • Contains a unique catalog identifying the 75 algorithmic problems that arise most often in practice, leading the reader down the right path to solve them • Includes several NEW "war stories" relating experiences from real-world applications • Provides up-to-date links leading to the very best algorithm implementations available in C, C++, and Java
The Executive's How-To Guide to Automation
From driverless cars to pilotless planes, many functions that have previously required human labor can now be performed using artificial intelligence. For businesses, this use of AI results in reduced labor costs and, even more important, creating a competitive advantage. How does one look at any organization and begin the work of automating it in sensible ways? This book provides the blueprint for automating critical business functions of all kinds. It outlines the skills and technologies that must be brought to bear on replicating human-like thinking and judgment in the form of algorithms. Many believe that algorithm design is the exclusive purview of computer scientists and experienced programmers. This book aims to dispel that notion. An algorithm is merely a set of rules, and anyone with the ability to envision how different components of a business can interact with other components already has the ability to work in algorithms. Though many fear that the use of automation in business means human labor will no longer be needed, the author argues that organizations will re-purpose humans into different roles under the banner of automation, not simply get rid of them. He also identifies parts of business that are best targeted for automation. This book will arm business people with the tools needed to automate companies, making them perform better, move faster, operate cheaper, and provide great lasting value to investors.