This prescient Research Handbook analyses the ethical development of Artificial Intelligence systems through the prism of meaningful human control. It encapsulates a multitude of disciplinary lenses including technical, philosophical and legal, making a crucial contribution to the ongoing discourse about control and responsibility in the field of AI.

Large language models (LLMs) and diffusion models such as ChatGPT and Stable Diffusion have unprecedented potential. Because they have been trained on all the public text and images on the internet, they can make useful contributions to a wide variety of tasks. And with the barrier to entry greatly reduced today, practically any developer can harness LLMs and diffusion models to tackle problems previously unsuitable for automation.

Unique in its approach, Models of Network Reliability: Analysis, Combinatorics, and Monte Carlo provides a brief introduction to Monte Carlo methods along with a concise exposition of reliability theory ideas.

This engaging Handbook critically examines the moral opportunities and challenges surrounding artificial intelligence. It provides a comprehensive overview of the most pressing problems concerning this technology by drawing on a wide range of analytical methods, traditions and approaches. Advocating for a diversification of the study of ethics and AI, this Handbook covers the foundations of the field before delving into the challenges of responsibility, justice and authority in an AI-centered landscape.

Geometry is at the heart of game engines, robotics, computer-aided design, GIS, and image processing. This book draws back what is for some a mathematical curtain, giving them insight and control over this central tool. You'll quickly see how a little geometry can help you design realistic simulations, translate the physical world into code, and even reduce your cloud services bill by improving the efficiency of graphics-intensive applications.

Dependence on computers has had a transformative effect on human society. Cybernetics is now woven into the core functions of virtually every basic institution, including our oldest ones. War is one such institution, and the digital revolution's impact on it has been profound. The American military is almost completely reliant on high-tech computer systems.

This is an introduction to the theory and practice of artificial intelligence. It uses an intelligent agent as the unifying theme throughout, and covers areas that are sometimes underemphasized elsewhere. These include reasoning under uncertainty, learning, natural language, vision and robotics.

As drones, or unmanned aerial vehicles (UAVs), gain popularity and are deployed for various applications, ranging from aerial photography and surveillance to delivery services and infrastructure inspections, this book emphasizes the criticality of safeguarding the security, integrity, and privacy of drone systems and the data they handle. It highlights the growing vulnerability of drones to cybersecurity threats as these devices become increasingly connected and integrated into our everyday lives.