Tag: iot
This article details a novel framework that integrates Retrieval-Augmented Generation Large Language Models (RAG-LLM) with Deep Q-Networks (DQN) to create an intelligent, autonomous system for fish farming. By leveraging IoT devices for real-time monitoring and combining the strengths of LLMs for knowledge retrieval with DQN for optimal policy learning, this system significantly enhances efficiency, productivity, and sustainability in aquaculture, outperforming traditional expert-led methods.
EMASS has introduced the ECS-DoT, a novel 22nm RISC-V AI chip designed to bring advanced artificial intelligence capabilities to power-constrained wearables and Internet of Things (IoT) devices. This chip focuses on a hybrid memory architecture and a dedicated AI acceleration engine to achieve remarkable power efficiency and low-latency inference.
Explore how integrating Artificial Intelligence (AI) and the Internet of Things (IoT) is transforming plant disease detection and treatment in agriculture. This approach offers real-time monitoring, early detection, and precise interventions, paving the way for more sustainable and productive farming.