The field of Age of Information (AoI) is witnessing significant developments, with a focus on optimizing information freshness in constrained systems. Researchers are exploring innovative solutions to minimize AoI in various scenarios, including intermittent links, energy constraints, and imperfect feedback. A key direction is the joint optimization of sampling and routing decisions to balance energy usage and information freshness. Another important area of research is the design of scheduling algorithms that can handle constrained transmission rates and imperfect feedback. Furthermore, the introduction of new metrics such as Age of Incorrect Information (AoII) is expanding the scope of AoI research. Noteworthy papers in this area include:

• A study that proposes a semi-Markov decision process framework to minimize AoII in remote estimation systems, offering a novel approach to optimizing information freshness.
• A paper that develops an efficient algorithm to solve the problem of jointly optimizing sampling and routing decisions in systems with intermittent links and energy constraints, providing valuable insights into the optimal policy structure.
• A work that investigates the impact of probabilistic preemption on AoI in multi-source queueing systems, demonstrating the effectiveness of this approach in improving information freshness.