International Journal of AI-Driven Intelligence and TinyML Systems

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About Us

Focused on bringing intelligence closer to connected devices, the International Journal of AI-Driven Intelligence and TinyML Systems explores advances in TinyML, Edge AI, embedded machine learning, AI accelerators, IoT intelligence, sensor-based computing, model optimization, and energy-efficient AI. Published twice a year by MAT Journals Pvt. Ltd., it welcomes contributions from researchers, academicians, engineers, embedded systems specialists, and industry practitioners developing smart, resource-efficient, and AI-enabled edge technologies.

Aim

The journal aims to advance research in AI-driven edge and embedded computing, with a focus on TinyML, Edge AI, resource-efficient intelligence, intelligent IoT devices, and energy-efficient machine learning systems. It provides a platform for innovative approaches that enable smart, secure, and autonomous AI capabilities on resource-constrained devices.

Focus and Scope

TinyML and Embedded Machine Learning Edge AI and Edge Intelligence AI-Driven Intelligent and Autonomous Systems Resource-Efficient Machine Learning and Deep Learning Model Compression, Quantization, and Optimization Low-Power and Energy-Efficient AI Computing AI Accelerators and Specialized Hardware IoT, Smart Sensors, and Intelligent Edge Devices Embedded Systems and Real-Time AI Applications

Federated and Distributed Learning at the Edge On-Device AI and Privacy-Preserving Intelligence Computer Vision, Speech, and Sensor Analytics at the Edge AI for Robotics and Autonomous Systems Intelligent Wearables and Healthcare Devices Security and Privacy in TinyML and Edge AI Performance Evaluation and Optimization of TinyML Systems Emerging Trends in AI-Driven Edge and Embedded Computing