Explores Finite State Machines (FSMs) in digital system design, covering Mealy and Moore FSMs, state diagrams, VHDL implementation, and state encoding.
Explores the theoretical properties and practical power of Recurrent Neural Networks, including their relationship to state machines and Turing completeness.
Delves into energy-saving design principles in wireless sensor networks, exploring motivating applications and intelligent algorithms for energy efficiency.
