Delves into energy-saving design principles in wireless sensor networks, exploring motivating applications and intelligent algorithms for energy efficiency.
Addresses the need for significant CO2 intensity reduction to achieve climate targets while examining the interplay between economic growth and carbon emissions.
Explores the theoretical properties and practical power of Recurrent Neural Networks, including their relationship to state machines and Turing completeness.
