This bestseller on c provides a clear, simple, engaging and entertaining introduction to c 11 programming with hundreds of fully coded programs. Adheres to key cert secure c coding guidelines. Code tested on key free compilers: gnu g, Microsoft visual c and apple llvm. Making a difference exercises set.

In this panel discussion at the Webit.Festival, one of the largest technology events in Europe, Dr. Ben Goertzel (CEO & Co-Founder SingularityNET), Jesus Mantas (Managing Partner & GM IBM Business Consulting), and author Leah Hunter discuss the possible beneficial and harmful consequences of AI - and what steps can be taken to ensure that the technology is benevolent for all. We aim to create the world's global brain with a full-stack AI solution powered by a decentralized protocol. We gathered the leading minds in machine learning and blockchain to democratize access to AI technology. Now anyone can take advantage of a global network of AI algorithms, services, and agents.

Numerous success use cases involving deep learning have recently started to be propagated to the Semantic Web. Approaches range from utilizing structured knowledge in the training process of neural networks to enriching such architectures with ontological reasoning mechanisms. Bridging the neural-symbolic gap by joining deep learning and Semantic Web not only holds the potential of improving performance but also of opening up new avenues of research. This editorial introduces the Semantic Web Journal special issue on Semantic Deep Learning, which brings together Semantic Web and deep learning research. After a general introduction to the topic and a brief overview of recent contributions, we continue to introduce the submissions published in this special issue.

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". What is the "Artificial Intelligence of Things" (AIoT)? Simply put, AIoT represents the convergence of AI and IoT. This convergence will lead to "thinking" networks and systems that are becoming increasingly more capable of solving a wide range of problems across a diverse number of industry verticals. Many of the early solutions involving AIoT are consumer product related, utilizing cognitive intelligence to help end-users interact with retails products such as appliances.

VANCOUVER, British Columbia--(BUSINESS WIRE)--Lucidea, provider of ArchivEra, CuadraSTAR SKCA and Eloquent Archives, enjoyed a very successful experience at this year's Society of American Archivists (SAA) annual conference. Traffic to their booth was the highest ever, with attendees eager 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 demonstrated the powerful and versatile capabilities of ArchivEra, CuadraSTAR SKCA, and Eloquent Archives that make them a valued technology partner in the archives community. Importantly, SAA attendees were the first 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.

Lucidea, provider of ArchivEra, CuadraSTAR SKCA and Eloquent Archives, enjoyed a very successful experience at this year's Society of American Archivists (SAA) annual conference. Traffic to their booth was the highest ever, with attendees eager 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 demonstrated the powerful and versatile capabilities of ArchivEra, CuadraSTAR SKCA, and Eloquent Archives that make them a valued technology partner in the archives community. Importantly, SAA attendees were the first 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.

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.

There are more than a trillion sensors in the world today and according to some estimates there will be about 50 trillion cameras worldwide within the next 5 years, all collecting data either sporadically or around the clock. With such explosive growth of available data and computing resources, recent advances in machine learning and data analytics have yielded transformative results across diverse scientific disciplines, including image recognition, natural language processing, cognitive science, and genomics. However, in many engineering applications, quality and error-free data is not easy to obtain, e.g., for system dynamics characterized by bifurcations and instabilities, hysteresis, delayed responses, and often irreversible responses. Admittedly, as in all everyday applications, in engineering problems, the volume of data has increased substantially compared to even a decade ago but analyzing big data is expensive and time-consuming. Data-driven methods, which have been enabled in the past decade by the availability of sensors, data storage, and computational resources, are taking center stage across many disciplines (physical and information) of science.

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.