Edge AI: From Intelligent Sensing to AI-Dedicated Hardware

Dear Colleagues,

Edge Artificial Intelligence (Edge AI) is emerging as a key paradigm for intelligent systems operating at the intersection of sensing, electronics, and computing. By enabling data processing and decision-making directly at the edge, Edge AI reduces latency, energy consumption, and communication overhead, while enhancing privacy and reliability. These characteristics make it particularly relevant for distributed sensing systems, embedded platforms, and next-generation electronic devices.

This Topic aims to provide a multidisciplinary forum for high-quality research addressing both application-level and hardware-level aspects of Edge AI.

On the application side, contributions may focus on the following:

• intelligent sensing;
• real-time signal processing;
• smart industry and agriculture;
• environmental monitoring;
• computer-aided healthcare;
• autonomous guide.

On the hardware side, the Topic welcomes studies on AI-oriented electronic and chip-level solutions including the following:

• embedded processors;
• specialized accelerators;
• low-power and energy-efficient architectures;
• neuromorphic computing;
• reconfigurable architectures;
• hardware–software co-design.

By bringing together advances in algorithms, sensing technologies, electronic systems, and chip design, this Topic seeks to foster cross-disciplinary collaboration and advance the development of efficient and scalable Edge AI solutions.

Dr. Laura Falaschetti
Prof. Dr. Giorgio Biagetti
Topic Editors