Innovation and competition are driving analysts and data scientists toward increasingly complex predictive modeling and machine learning algorithms. This complexity makes these models accurate, but can also make their predictions difficult to understand. When accuracy outpaces interpretability, human trust suffers, affecting business adoption, model validation efforts, and regulatory oversight. In the updated edition of this ebook, Patrick Hall and...

Much of our daily lives intertwine with artificial intelligence. From watching movies recommended by our entertainment streaming service, to interacting with customer service chatbots, to autotagging photos of friends in our social media apps, AI plays an invisible part in enriching our lives. While AI may be seen as a panacea for enterprise advancement and consumer convenience, it is still an emerging technology, and its explosive growth needs to...

As this brief article explains, AI broadly defines many systems designed to answer questions and solve problems. Consider Amazon's recommendation system. Or the GPS navigation system that talks to you. Like plumbing or electricity, we'll soon take AI for granted as it steadily does more to help us manage our lives. In this article, O'Reilly's Mike Loukides and Ben Lorica offer a definition of AI by discussing the meaning of intelligence, and exploring...

Artificial Intelligence for Future Generation Robotics offers a vision for potential future robotics applications for AI technologies. Each chapter includes theory and mathematics to stimulate novel research directions based on the state-of-the-art in AI and smart robotics. Organized by application into ten chapters, this book offers a practical tool for researchers and engineers looking for new avenues and use-cases that combine AI with smart robotics....

As interest in generative AI tools like ChatGPT and Midjourney surges, narratives about the artificial intelligence technology’s potential to disrupt industries has some observers unreasonably excited or panicked. The author asserts that, given business futurists’ and analysts’ bad track records at forecasting the effects of technology, they should focus on the here and now rather than the long-term implications of generative...

This book provides a deep dive into the world of generative AI, covering everything from the basics of neural networks to the intricacies of large language models like ChatGPT and Google Bard. It serves as a one-stop resource for anyone interested in understanding and applying this transformative technology and is particularly aimed at those just getting started with generative AI. Applied Generative AI for Beginners is structured around detailed...

Build end-to-end AI solutions with IBM Cloud Pak for Data to operationalize AI on a secure platform based on cloud-native reliability, cost-effective multitenancy, and efficient resource management Key Features Explore data virtualization by accessing data in real time without moving it Unify the data and AI experience with the integrated end-to-end platform Explore the AI life cycle and learn to build, experiment, and operationalize trusted AI at...

Explore the cutting-edge of neuromorphic technologies with applications in Artificial Intelligence In Neuromorphic Devices for Brain-Inspired Computing: Artificial Intelligence, Perception, and Robotics, a team of expert engineers delivers a comprehensive discussion of all aspects of neuromorphic electronics designed to assist researchers and professionals to understand and apply all manner of brain-inspired computing and perception technologies....

This book is the first to examine the history of imaginative thinking about intelligent machines. As real Artificial Intelligence (AI) begins to touch on all aspects of our lives, this long narrative history shapes how the technology is developed, deployed, and regulated. It is therefore a crucial social and ethical issue. Part I of this book provides a historical overview from ancient Greece to the start of modernity. These chapters explore the revealing...

For too long, finance has been driven by established theories that lack wide empirical support. But finance is fast becoming a data-driven, AI-first discipline. In this Meet the Expert with Yves Hilpisch, see how AI-first finance is reshaping the industry, particularly through model-free algorithms such as neural networks. AI and machine learning will soon replace financial theory as we know it-learn why and how it will happen. Recorded on May 20,...