Author of many technical papers about various telecommunications subjects including the published reports "Yes 2 Prepay" and "Data on SS7" as well as co-author of the books "Wireless Intelligent Networking" and "Mobile Positioning and Location Management". Increasingly integrated with and/or supporting various aspects of computing and networking, Artificial Intelligence (AI) is anticipated to become increasingly more important in terms of support for digital assets as well as physical infrastructure. Accordingly, forward-thinking ICT engineers and managers are no longer thinking of AI as merely algorithms and software in support of smart products and services but rather as a functional component of networking, systems, communications and applications as well as digital content and commerce. The potential economic and social benefits of generation networking AI in support of virtualized infrastructure and programmable networks cannot be overstated as networks will achieve an entirely new level of self-awareness, self-configuration, self-optimization, self-healing, and self-protection. Mind Commerce has gone on record to state that "AI in combination with Software-Defined Networking (SDN) and advanced analytics, is poised to take autonomous, intelligent network operation and control to an entirely new level" Existing carrier systems such as Self-organizing Networks (used largely to optimize radio infrastructure for cellular service providers) will benefit greatly through AI based decision making, developed through machine learning of network characteristics and customer usage patterns.

IMAGE: Written for investment professionals keen to learn about the latest investment analytics techniques in the dawn of artificial intelligence, this book presents sophisticated best-of-class techniques to solve high dimensional problems... view more What do we mean by "ia? Simply put, the'formula' symbolizes how investment analytics (ia) is not a simplistic reapplication of artificial intelligence (ai) techniques, as the popular press likes to suggest. Written for investment professionals keen to learn about the latest investment analytics techniques in the dawn of artificial intelligence, Investment Analytics in the Dawn of Artificial Intelligence aims to set the methodological gold standard for artificial intelligence-driven analytics for institutional investing. The book presents sophisticated best-of-class techniques to solve high dimensional problems in investment analytics with properties that go deeper than what is required to solve customary problems in engineering today. This book focuses on solving problems for professional and institutional asset managers, whose typical portfolios may contain hundreds if not thousands of assets.

Lucidea, provider of ArchivEra, CuadraSTAR SKCA and Eloquent Archives, will participate in the Archives & Records Association (ARA) annual conference on 28th and 30th August in Leeds. Visit Lucidea at Stand #5 in the Queens Hotel to see how easily their archival collections management solutions enable researchers and the public to connect with the historic materials archivists work hard to preserve. Lucidea's archives specialists will demonstrate the powerful and versatile capabilities of ArchivEra, CuadraSTAR SKCA, and Eloquent Archives that make them a valued technology partner in the archives community. ARA attendees will be first in the UK to see Lucidea's exciting new AI prototype for archives. With Artificial Intelligence (AI) integration now available in ArchivEra, Lucidea's clients will enjoy powerful automatic categorization functionality.

The current edition of this books is the 3rd Edition and I strongly suggest that every programmer should have this in their bookshelf, but only for short reading and references. It's not possible to finish this book in one sitting and some of you may find it difficult to read as well, but don't worry, you can combine your learning with an online course like Data Structures and Algorithms: Deep Dive Using Java along with this book. This is like the best of both world, you learn basic Algrotihsm quickly in an online course and then you further cement that knowledge by going through the book, which would make more sense to you now that you have gone through a course already.

In Search Engine Optimization All-in-One For Dummies, 3rd Edition, Bruce Clay--whose search engine consultancy predates Google--shares everything you need to know about SEO. In minibooks that cover the entire topic, you'll discover how search engines work, how to apply effective keyword strategies, ways to use SEO to position yourself competitively, the latest on international SEO practices, and more. If SEO makes your head spin, this no-nonsense guide makes it easier. You'll get the lowdown on how to use search engine optimization to improve the quality and volume of traffic on your website via search engine results. Cutting through technical jargon, it gets you up to speed quickly on how to use SEO to get your website in the top of the rankings, target different kinds of searches, and win more industry-specific vertical search engine results!

Stuart Russell is a professor of computer science at UC Berkeley and a co-author of the book that introduced me and millions of other people to AI, called Artificial Intelligence: A Modern Approach. Video version is available on YouTube. If you would like to get more information about this podcast go to https://lexfridman.com/ai or connect with @lexfridman on Twitter, LinkedIn, Facebook, or YouTube where you can watch the video versions of these conversations.

Deep learning is a branch of machine learning based on a set of algorithms that attempt to model high-level abstractions in data by using model architectures. With the superb memory management and the full integration with multi-node big data platforms, the H2O engine has become more and more popular among data scientists in the field of deep learning. This book will introduce you to the deep learning package H2O with R and help you understand the concepts of deep learning. We will start by setting up important deep learning packages available in R and then move towards building models related to neural networks, prediction, and deep prediction, all of this with the help of real-life examples. After installing the H2O package, you will learn about prediction algorithms.

Microsoft's latest breakthrough could make DNA-based data centers possible

This is the fourth in a continuing series of stories previewing sessions of importance to cloud application developers at the Cloud Expo conference, which takes place June 7 to 9 at the Jacob Javits Center in New York. Judith Hurwitz is president and CEO of Hurwitz & Associates, a Needham, Mass., research and consulting firm focused on emerging technology, including big data, cognitive computing and governance. She is co-author of the book Cognitive Computing and Big Data Analytics, published in 2015. Her Cloud Expo session, "What Is the Business Imperative for Cognitive Computing?" is scheduled for Wednesday, June 8, at 8:40 a.m. In it, she puts cognitive computing into perspective with its value to the business, examines what it takes to build a cognitive application and identifies the types of services that best fit this data-driven approach.