AI for making sense of sounds

There is a need for new studies into using AI to integrate acoustics sensors with other sensors to improve transportation efficiency, develop automated swarm sonic sensing across scales for infrastructure, machines, processes and agriculture, environment, embedded, wireless self-monitoring acoustic sensor systems and fully automated data analysis and for big data processing from large sensor networks. This research should also include the development of high-fidelity acoustic signal processing and simulations for acoustic detection, construction of representative databases and classification in challenging conditions with limited data. This priority also extends to communication (both human and animal communication), imaging and security acoustic devices. This priority can also include educational research on the ethical use of AI for acoustic benefits.