Semantic Communications: From Bit Transmission to Meaning-Driven Networking examines a fundamental shift underway in how communication systems are conceived — moving beyond the century-old goal of faithfully reproducing bits at a receiver, toward networks designed to convey meaning relevant to a specific task or goal. Since Claude Shannon's foundational work on information theory, communication engineering has been built around a single, powerful abstraction: transmit symbols so accurately that the receiver can reconstruct exactly what the transmitter sent, while deliberately setting aside any question of what those symbols actually mean. This framing enabled decades of progress in digital communication, but it is increasingly at odds with how modern networks are actually used. Sensor networks, autonomous systems, machine-to-machine coordination, and AI applications at the edge frequently transmit data that is redundant, irrelevant to the task at hand, or reconstructible from context — consuming bandwidth and energy to move information that was never necessary in the first place. This book explores what becomes possible when networks are redesigned around a different question: not "how do we move these bits accurately?" but "how do we convey the meaning that matters, efficiently?" The book's central premise is that the next major advance in communication systems will not come from transmitting bits faster, but from transmitting meaning smarter. As networks increasingly serve machines, sensors, and AI systems operating under real constraints on bandwidth, energy, and latency, semantic communications offers a framework for building networks that prioritize what actually matters to the task at hand — a shift the book argues is not merely incremental, but foundational to the next generation of networking.